{ "count": 102, "subnets": { "sn03_teutonic": { "netuid": 3, "name": "Teutonic", "product": { "tagline": "Collaborative large-scale language model pretraining", "category": "Decentralized Training", "subcategory": "Large Scale Pretraining", "tags": [ "distributed-training", "pretraining", "llm", "verifiable-training", "collaborative", "bittensor", "huggingface" ], "status": "live", "description": "Teutonic is a large-scale collaborative LLM pretraining project, continuing the legacy of the Templar project which produced the Covenant-72B model. Training runs produce open-weight models published to Hugging Face (e.g. 'Teutonic-VIII' series). Models are free to download and use.", "target_users": [ "ML researchers interested in open-weight LLMs", "AI teams needing pretrained foundation models", "Open-source AI model consumers (via Hugging Face)" ], "use_cases": [ "Access open-weight pretrained LLMs via Hugging Face (e.g. Teutonic-VIII series)", "Use collaboratively trained models for downstream fine-tuning and research", "Verifiable training with anti-cheat mechanisms (gradient probes, loss verification)" ] }, "pricing": { "model": "open-source", "currency": null, "free_tier": null, "tiers": [], "notes": "Open-source project. Models are published to Hugging Face for free download and use." }, "access": { "api_available": false, "api_url": null, "api_docs": null, "requires_auth": false, "auth_method": null, "sdk": [], "playground": null }, "links": { "website": "www.deprecated.com", "github": "https://github.com/unarbos/Teutonic", "docs": null, "discord": "https://discord.com/channels/799672011265015819/1222226314824777853", "twitter": null, "blog": null }, "on_chain": { "owner_contact": "deprecated@gmail.com", "logo_url": "https://deprecated.png", "additional": "On-chain identity fields are pending update. Subnet is actively operated by Const (consτ) and community. Community governance via token-holder voting is in progress." }, "data_gaps": { "unverified": [ "Exact model size of current Teutonic-VIII training runs", "Whether governance transition has completed" ], "inaccessible": [ "On-chain identity still shows deprecated placeholders" ], "missing": [ "Twitter/X account", "Formal documentation site", "Team page" ], "stale": [ "On-chain identity fields (still showing deprecated)" ] }, "researched_at": "2026-05-01T20:50:00Z", "confidence": "medium", "sources_reviewed": [ "Discord channel γ・teutonic・3 (AgentDB, ~100 recent messages)", "https://github.com/unarbos/Teutonic (GitHub repo)", "https://teutonic.arbos.life/ (live dashboard showing active miners)", "https://bittensor.ai/subnets/3 (on-chain data — 256 neurons, $20M mcap)", "Hugging Face model repos (Teutonic-VIII series checkpoints from multiple miners)" ], "notes": "SN3 is active as Teutonic, led by Const (consτ). The teutonic.arbos.life dashboard shows dozens of active miners uploading Teutonic-VIII models to Hugging Face. Models are ranked KING or CHALLENGER. Continues the Templar legacy (which trained Covenant-72B). Key innovation is backward-pass verification (gradient probes + loss verification + wrong-data detection). Community governance via token-holder voting is in progress. Runs on B200/B300 hardware. 256 neurons, 5+ active miners, 1 validator, $20M market cap as of May 2026.", "market_data": { "mcap_tao": 140218.3, "price_tao": 0.027864156, "tao_locked": 76300.1, "alpha_in_pool": 2738287.9, "alpha_staked": 2293922.3, "rank": 7, "block": "8154319", "updated_at": "2026-05-10T16:19:40.675Z" }, "assets": { "favicon": "assets/sn03/favicon.png" }, "mcap_tao": 118134.2 }, "sn04_targon": { "netuid": 4, "name": "Targon", "product": { "tagline": "Confidential cloud compute — GPU and CPU rentals with hardware-level security", "category": "Compute & Infrastructure", "subcategory": "Confidential Cloud Compute", "tags": [ "gpu", "cloud", "confidential-compute", "tee", "serverless", "rentals", "h200", "b200", "inference", "training" ], "status": "live", "description": "Targon is a confidential cloud computing platform offering GPU and CPU rentals, serverless deployment, and secure AI infrastructure. Rent dedicated GPU servers (4090, H100, H200, B200) or deploy serverless applications that auto-scale from zero. All compute is secured by hardware-level encryption (Intel TDX, NVIDIA Confidential Computing). Features include one-click model deployment, OpenAI-compatible API endpoints, and a web dashboard for management.", "target_users": [ "AI developers", "ML engineers", "Startups needing GPU compute", "Enterprises requiring confidential AI", "Researchers needing secure compute" ], "use_cases": [ "Rent dedicated GPU servers for training and inference", "Deploy serverless AI applications with auto-scaling", "Run LLM inference on NVIDIA H200/B200 hardware", "Confidential compute — keep data encrypted at rest, in transit, and in use", "Deploy custom Docker containers on GPU infrastructure", "Deploy and serve open-source models via templates" ] }, "pricing": { "model": "from $0.45/hour", "currency": "USD", "free_tier": { "available": false, "limits": null }, "tiers": [ { "name": "GPU Rentals — Pay-per-hour", "price": "Per-hour billing by GPU type and quantity", "features": [ "RTX 4090: $0.45/hr (1x), $0.90/hr (2x), $1.80/hr (4x)", "H100: $1.79/hr (1x), $3.58/hr (2x), $7.16/hr (4x), $14.32/hr (8x)", "H200: $2.40/hr (1x), $4.80/hr (2x), $9.60/hr (4x)", "Available in Small (1x), Medium (2x), Large (4x), Extra Large (8x) configurations", "Includes vCPUs and RAM", "Hardware-backed security: Intel TDX, AMD SEV, NVIDIA Confidential Computing" ], "gpu_pricing": [ { "gpu": "CPU Server (no GPU)", "configs": "Small $0.09/hr (4 vCPU, 50GB) | Medium $0.18/hr (8 vCPU, 100GB) | Large $0.36/hr (16 vCPU, 200GB) | XL $0.63/hr (28 vCPU, 350GB)" }, { "gpu": "NVIDIA RTX 4090", "configs": "1x $0.45/hr (29 vCPU, 148GB) | 2x $0.90/hr | 4x $1.80/hr" }, { "gpu": "NVIDIA RTX Pro 6000B", "configs": "1x $1.20/hr (14 vCPU, 150GB)" }, { "gpu": "NVIDIA H100", "configs": "1x $1.79/hr (14 vCPU, 175GB) | 2x $3.58/hr | 4x $7.16/hr | 8x $14.32/hr" }, { "gpu": "NVIDIA H200", "configs": "1x $2.40/hr (14 vCPU, 175GB) | 2x $4.80/hr | 4x $9.60/hr | 8x $19.20/hr" }, { "gpu": "NVIDIA B200", "configs": "1x $5.00/hr (14 vCPU, 175GB) | 2x $10.00/hr | 4x $20.00/hr | 8x $40.00/hr" } ] }, { "name": "Serverless — Pay-per-use", "price": "Billed only when processing requests (idle time free)", "features": [ "Auto-scaling from zero to peak traffic", "Deploy via Dashboard, Python SDK, or CLI", "Public templates available for common models", "Custom Docker image support", "OpenAI-compatible API endpoints for LLM deployments" ] }, { "name": "Enterprise", "price": "Custom — contact devs@manifold.inc", "features": [ "Custom solutions", "Dedicated support" ] } ], "notes": "Pricing is transparent and listed directly on the homepage and inventory page. All pricing is per-hour for rentals. Serverless pricing is usage-based (pay only when processing). Credits can be purchased with crypto or fiat.", "starts_at": "$0.09/hour (CPU server)" }, "access": { "api_available": true, "api_url": "https://api.targon.com", "api_docs": "https://docs.targon.com/api/apps", "requires_auth": true, "auth_method": "api-key", "sdk": [ "python" ], "sdk_repo": "https://github.com/manifold-inc/targon-sdk", "cli": true, "cli_install": "git clone https://github.com/manifold-inc/targon-sdk.git && pip install -e .", "openai_compatible": true, "playground": "https://targon.com/dashboard" }, "links": { "website": "https://targon.com", "github": "https://github.com/manifold-inc/targon", "docs": "https://docs.targon.com", "discord": "https://discord.gg/manifold", "twitter": "https://x.com/targoncompute", "linkedin": "https://www.linkedin.com/company/manifoldlabs", "blog": "https://docs.targon.com/blog/deploying-deepseek-32b-rentals-volumes", "status_page": null, "contact_sales": "mailto:devs@manifold.inc", "parent_company": "https://manifold.inc" }, "on_chain": { "owner_contact": "devs@manifold.inc", "logo_url": "https://www.manifold.inc/favicon.svg", "additional": "" }, "company": { "name": "Manifold Labs, Inc.", "founded": "2023", "location": "Austin, Texas", "team_size": "Small team", "investors": "Angels from Google, Shopify, Bittensor", "related_products": [ { "name": "Sybil", "url": "https://sybil.com", "description": "Frontier AI model testing" }, { "name": "Tao.xyz", "url": "https://tao.xyz", "description": "Bittensor ecosystem tool" }, { "name": "Hone", "url": "https://hone.training", "description": "Training platform" }, { "name": "TargonOS", "url": "https://manifold.inc/releases/targon-os", "description": "Hardened Linux distro for decentralized compute (released 2026-03-30)" } ], "stats": { "gpus_and_cpus": "1000+", "uptime": "99%", "latency": "<50ms" } }, "technical": { "security": [ "NVIDIA Confidential Computing (GPU TEE)", "Intel TDX (Trust Domain Extensions)", "AMD SEV (Secure Encrypted Virtualization)", "Remote attestation for verifiable computation", "Hardware-enforced memory encryption", "Secure boot with hardware root of trust", "Post-quantum cryptography support (Intel x TVM whitepaper, 2026-03-23)" ], "infrastructure": [ "InfiniBand and RoCE networking for multi-GPU performance", "Confidential Virtual Machines (CVMs) with Ubuntu 24.04", "Persistent volumes for data storage", "Custom TargonOS hardened Linux distribution" ] }, "data_gaps": { "unverified": [ "Exact serverless per-request/per-token pricing not published — only 'pay for what you use' with idle time free", "1000+ GPUs claim — not independently verified", "99% uptime claim — no public status page found" ], "inaccessible": [ "https://docs.targon.com/blog returned 404 (blog index broken, individual posts work)", "Serverless pricing details behind login (targon.com/serverless)" ], "missing": [ "No public status page found", "No per-token or per-request pricing for serverless — only GPU-hour rental rates confirmed", "No free trial or free tier mentioned anywhere" ], "stale": [] }, "researched_at": "2026-05-06T17:00:00Z", "confidence": "high", "sources_reviewed": [ "https://targon.com/ (homepage, via Jina Reader)", "https://targon.com/company (about page, via Jina Reader)", "https://targon.com/pricing (redirects to homepage #pricing section, via Jina Reader)", "https://targon.com/inventory (full GPU/CPU inventory with pricing, via Jina Reader)", "https://targon.com/releases/intel-whitepaper (Intel x TVM whitepaper, via Jina Reader)", "https://docs.targon.com/ (docs homepage, via Jina Reader)", "https://docs.targon.com/guides/getting-started (quickstart guide, via Jina Reader)", "https://docs.targon.com/guides/serverless/quick-start (serverless guide, via Jina Reader)", "https://docs.targon.com/api/apps (API reference, via Jina Reader)", "https://docs.targon.com/blog (404 — blog index broken)", "https://raw.githubusercontent.com/manifold-inc/targon/main/README.md (GitHub README, direct)", "https://manifold.inc/ (parent company, via Jina Reader)", "https://subnetalpha.ai/subnet/targon/ (third-party, web search)", "https://messari.io/project/targon-subnet (third-party, web search)", "YouTube: 'Rent AI GPUs 5x CHEAPER than from AWS - Bittensor Subnet 4 Targon' (third-party, web search)" ], "notes": "Targon is one of the most polished products in the Bittensor ecosystem. Full GPU rental marketplace with transparent pricing, comprehensive docs, Python SDK, CLI, and REST API. Strong security positioning with Intel TDX whitepaper and NVIDIA CC. Parent company Manifold Labs also runs Sybil, Tao.xyz, Hone, and recently released TargonOS. Key differentiator vs Chutes: Targon offers dedicated GPU rentals (persistent servers) in addition to serverless, while Chutes is purely serverless inference. Targon emphasizes confidential computing as its core value proposition. No subscription tiers — purely usage-based credits.", "assets": { "logo": "assets/sn4/logo.svg", "logo_source": "https://www.manifold.inc/favicon.svg", "favicon": "assets/sn4/favicon.svg", "favicon_source": "https://targon.com/apple-icon.png" }, "market_data": { "mcap_tao": 296116.6, "price_tao": 0.057196293, "tao_locked": 133253.7, "alpha_in_pool": 2329761, "alpha_staked": 2847437.9, "rank": 2, "block": "8154319", "updated_at": "2026-05-10T16:19:40.680Z" }, "mcap_tao": 300089.1 }, "sn05_hone": { "netuid": 5, "name": "Hone", "product": { "tagline": "Distributed AI model training — train together, build what's next", "category": "Decentralized Training", "subcategory": "Peer-to-Peer LLM Training", "tags": [ "distributed-training", "p2p", "gradient-exchange", "llm", "pretraining", "decentralized", "bittensor", "autoresearch" ], "status": "live", "description": "Hone is a distributed training platform that connects independent compute across the globe into a single training run. Train large AI models collaboratively using peer-to-peer infrastructure — no centralized cluster required. Models produced are published openly.", "target_users": [ "ML researchers interested in P2P training", "AI teams needing open-weight models", "Open-source AI model consumers" ], "use_cases": [ "Peer-to-peer LLM pretraining without central coordinator", "Access open-weight models produced by distributed training runs", "Autoresearch — recursive model improvement via AI agents" ] }, "pricing": { "model": "open-source", "currency": null, "free_tier": null, "tiers": [], "notes": "Open-source platform. Models produced are published openly.", "open_source": true }, "access": { "api_available": false, "api_url": null, "api_docs": null, "requires_auth": false, "auth_method": null, "sdk": [], "playground": null }, "links": { "website": "https://www.hone.training/", "github": "https://github.com/manifold-inc/hone", "docs": null, "discord": "https://discord.com/channels/799672011265015819/1368959417936252998", "twitter": null, "blog": null }, "on_chain": { "owner_contact": "devs@manifold.inc", "logo_url": "https://www.hone.training/logo.svg", "additional": "Run by Manifold Inc (0xcarro). Pivoting from ARC-AGI to distributed training." }, "data_gaps": { "unverified": [ "Whether distributed training code is deployed (vs still ARC-AGI)", "Timeline for first training run", "Exact model architecture planned" ], "inaccessible": [], "missing": [ "Twitter/X account", "Documentation for distributed training mode", "Hardware requirements" ], "stale": [ "GitHub repo still shows ARC-AGI benchmarking code" ] }, "researched_at": "2026-05-01T20:55:00Z", "confidence": "medium", "sources_reviewed": [ "Discord channel ε・hone・5 (AgentDB, 60 recent messages)", "https://www.hone.training/ (website — now describes distributed training)", "https://github.com/manifold-inc/hone (GitHub — still ARC-AGI code)", "https://bittensor.ai/subnets/5 (on-chain data)" ], "notes": "Hone website (hone.training) describes a 'Distributed Training Network' with P2P gradient exchange. Led by 0xcarro (Manifold). Discord shows active planning for training runs using B200 GPUs. Plans include autoresearch agents and recursive model improvement. 0xcarro is working on training runs via Targon SDK with goals to scale models via MoE. 14 validators, $74.9K TVL.", "assets": { "logo": "assets/sn5/logo.jpg", "logo_source": "https://pbs.twimg.com/profile_images/1998808455532929026/km8QWtq1_400x400.jpg", "favicon": "assets/sn5/favicon.ico", "favicon_source": "https://www.hone.training/favicon.ico?favicon.0x3dzn~oxb6tn.ico?dpl=dpl_FaiL8ALJTzBoMt42ZJWvVmQjh7m2" }, "market_data": { "mcap_tao": 101734.6, "price_tao": 0.02095299, "tao_locked": 40972.4, "alpha_in_pool": 1955445.5, "alpha_staked": 2899927.2, "rank": 11, "block": "8154319", "updated_at": "2026-05-10T16:19:40.684Z" }, "mcap_tao": 90290.9 }, "sn08_vanta": { "netuid": 8, "name": "Vanta", "product": { "tagline": "Prop trading platform powered by global strategy crowdsourcing", "category": "Finance", "subcategory": "Prop Trading Network", "tags": [ "trading", "prop-firm", "quantitative", "signals", "forex", "crypto", "equities", "bittensor" ], "status": "live", "description": "Vanta is a prop trading platform that crowdsources trading strategies from traders, quants, and AI agents worldwide. Top-performing strategies are verified on-chain and routed into real capital via copy trading and the Vanta Hedge Fund. Three ways to participate: Vanta Trading (full prop firm terminal), Hyperscaled (Hyperliquid-native SDK/CLI), or run your own strategy node.", "target_users": [ "Discretionary traders", "Systematic traders", "Quants", "AI agents", "LLMs", "Prop firm operators" ], "use_cases": [ "Submit trading signals (LONG/SHORT/FLAT) across Forex, Crypto, and Equities", "Access prop firm funding via Vanta Trading (one-step evaluation)", "Systematic/automated trading via Hyperscaled with Hyperliquid execution", "Launch a prop firm using Vanta Network as infrastructure layer", "Copy top-ranked strategies via the copy trading platform" ] }, "pricing": { "model": "unknown", "currency": null, "free_tier": { "available": true, "limits": "Running a miner is permissionless and free (no KYC). Capital allocation is performance-based." }, "tiers": [ { "name": "Run a Miner (Permissionless)", "price": "Free (self-hosted)", "features": [ "No KYC", "Open-source", "Onchain score visibility", "Performance-based rewards" ] }, { "name": "Vanta Trading (Prop Firm)", "price": "Contact vantatrading.io", "features": [ "Full trading terminal", "API-based trading", "One-step evaluation", "100% reward split" ] }, { "name": "Hyperscaled", "price": "Contact hyperscaled.trade", "features": [ "Hyperliquid-native execution", "Full SDK & CLI", "OpenClaw integration", "Connect any funded account" ] } ], "notes": "Participation is free/permissionless. Vanta Trading and Hyperscaled pricing available at vantatrading.io and hyperscaled.trade respectively." }, "access": { "api_available": true, "api_url": "https://request.taoshi.io", "api_docs": "https://github.com/taoshidev/vanta-network", "requires_auth": true, "auth_method": "api-key", "sdk": [ "python" ], "playground": "https://dashboard.taoshi.io" }, "links": { "website": "https://www.vantanetwork.io", "github": "https://github.com/taoshidev/vanta-network", "docs": "https://github.com/taoshidev/vanta-network", "discord": "https://discord.gg/2XSw62p9Fj", "twitter": "https://x.com/taoshiio", "blog": null }, "on_chain": { "owner_contact": null, "logo_url": "https://website-git-ken-vanta-taoshi.vercel.app/black-white.png", "additional": "Vanta Network is the first decentralized, trustless liquidity and execution engine for prop firms and traders. It live-trades top-performing miners who deposit alpha for funding, rewards them based on verifiable performance, and uses profits to buy back alpha, creating a transparent, risk-adjusted, and incentive-aligned trading ecosystem." }, "data_gaps": { "unverified": [ "Vanta Trading evaluation fee and funding amounts — not publicly listed", "Hyperscaled pricing — not publicly listed", "API subscription pricing at request.taoshi.io (currently 404)" ], "inaccessible": [ "https://request.taoshi.io — returned 404", "https://www.vantanetwork.io/pricing — no pricing page", "https://vantatrading.io — not reviewed (separate site)", "https://hyperscaled.trade — not reviewed (separate site)" ], "missing": [ "Specific pricing for Vanta Trading prop firm evaluation", "Capital allocation amounts for fund", "Company/team details", "Contact email" ], "stale": [] }, "sources_reviewed": [ "https://www.vantanetwork.io/ (homepage)", "https://raw.githubusercontent.com/taoshidev/vanta-network/main/README.md", "https://request.taoshi.io (404)", "https://subnetalpha.ai/subnet/vanta/ (third-party coverage)", "https://github.com/taoshidev/vanta-network (crawled Apr 2026 — confirmed: carry fees 10.95%/3%/5.25% per year for crypto/forex/equities, 0.1% spread fee on crypto, Glitch Financial auto-trade platform: x.com/glitchfinancial, Theta Token: taoshi.io/theta)" ], "researched_at": "2026-05-06T17:00:00Z", "confidence": "medium", "notes": "Vanta was formerly called PTN (Proprietary Trading Network) and was rebranded to Vanta Network. Built by Taoshi. The network supports Forex, Crypto, and Equities signals. Miners are eliminated for plagiarism or exceeding 10% max drawdown. The signal API (request.taoshi.io) appears offline. Three distinct product channels: permissionless miner (GitHub), Vanta Trading (vantatrading.io), and Hyperscaled (hyperscaled.trade). A Theta Token also exists (taoshi.io/theta). The Taoshi dashboard at dashboard.taoshi.io shows top trader rankings.", "assets": { "logo": "assets/sn8/logo.png", "logo_source": "https://website-git-ken-vanta-taoshi.vercel.app/black-white.png", "favicon": "assets/sn8/favicon.ico", "favicon_source": "https://www.vantanetwork.io/favicon.ico" }, "market_data": { "mcap_tao": 170804.3, "price_tao": 0.033831561, "tao_locked": 85512.8, "alpha_in_pool": 2527604.5, "alpha_staked": 2521062.5, "rank": 6, "block": "8154319", "updated_at": "2026-05-10T16:19:40.690Z" }, "mcap_tao": 182020.9 }, "sn09_iota": { "netuid": 9, "name": "iota", "product": { "tagline": "Distributed pipeline-parallel LLM pretraining", "category": "Decentralized Training", "subcategory": "Small Scale Training", "tags": [ "distributed-training", "llm", "pretraining", "decentralized", "pipeline-parallel", "gpu", "bittensor", "p2p", "apple-silicon" ], "status": "live", "description": "IOTA (Incentivized Orchestrated Training Architecture) is the world's first permissionless pipeline- and data-parallel LLM pretraining protocol. Collaboratively train large language models using distributed GPU resources. Models produced are published openly on Hugging Face.", "target_users": [ "Mac/Apple Silicon users wanting to participate in AI training (via TAH app)", "ML researchers interested in decentralized pretraining", "Open-source AI model consumers" ], "use_cases": [ "Collaboratively pretrain LLMs using pipeline and data parallelism", "Participate in distributed training via the TAH (Train At Home) Mac app", "Access open-weight models produced through decentralized training runs" ] }, "pricing": { "model": "open-source", "currency": null, "free_tier": { "available": false, "limits": null }, "tiers": [], "notes": "Open-source platform. Models are published openly on Hugging Face.", "open_source": true }, "access": { "api_available": false, "api_url": null, "api_docs": "https://docs.macrocosmos.ai/subnets/subnet-9-iota", "requires_auth": false, "auth_method": null, "sdk": [], "playground": "https://iota.macrocosmos.ai/dashboard/mainnet" }, "links": { "website": "https://macrocosmos.ai", "github": "https://github.com/macrocosm-os/iota", "docs": "https://docs.macrocosmos.ai", "discord": "https://discord.com/channels/799672011265015819/1162768567821930597", "twitter": null, "blog": null }, "on_chain": { "owner_contact": "support@macrocosmos.ai", "logo_url": "https://www.macrocosmos.ai/images/mc_logo_black.png", "additional": "World's first permissionless pipeline parallel training architecture. Developed by Macrocosmos." }, "data_gaps": { "unverified": [ "Current model being trained and its size", "Whether TAH app has been fixed since download issues" ], "inaccessible": [], "missing": [ "Public training dashboard or leaderboard", "Detailed hardware requirements for miners" ], "stale": [] }, "sources_reviewed": [ "Discord channel ι・ioτa・9 (AgentDB, 60 recent messages)", "https://github.com/macrocosm-os/iota (GitHub)", "https://bittensor.ai/subnets/9 (on-chain data)", "https://macrocosmos.ai (team website)" ], "researched_at": "2026-05-01T20:55:00Z", "confidence": "medium", "notes": "IOTA is run by Macrocosmos (same team as SN1 Apex). Uses orchestrator-coordinated pipeline parallelism with P2P activation transfer (iroh/QUIC) and S3-based spot-check verification. TAH (Train At Home) app supports Mac/Apple Silicon participation. 256 neurons, 11 validators, $13.4M market cap. GitHub: 26 stars, 21 forks, 9 contributors.", "assets": { "logo": "assets/sn9/logo.png", "logo_source": "https://www.macrocosmos.ai/images/mc_logo_black.png", "favicon": "assets/sn9/favicon.ico", "favicon_source": "https://iota.macrocosmos.ai/favicon.ico" }, "market_data": { "mcap_tao": 114744.6, "price_tao": 0.022420642, "tao_locked": 47644.7, "alpha_in_pool": 2125039.3, "alpha_staked": 2992769.1, "rank": 8, "block": "8154319", "updated_at": "2026-05-10T16:19:40.698Z" }, "mcap_tao": 118827.2 }, "sn100_platform": { "netuid": 100, "name": "Platform", "product": { "tagline": "Build AI agents. Compete. Ship products.", "category": "Model & Agent Development", "subcategory": "Collaborative AI Agents", "tags": [ "AI agents", "challenges", "bug bounty", "SaaS", "collaborative R&D", "Fabric CLI", "Bittensor" ], "status": "live", "description": "Platform Network advances collaborative AI development through simultaneous challenges. Products include Fabric CLI and other AI-powered tools. Developers compete in Term Challenges (build better AI agents) and Bug Bounties (find issues). Winning submissions integrate into shipping products.", "target_users": [ "AI engineers", "Software developers", "Organizations needing AI-powered tools", "Bug bounty participants" ], "use_cases": [ "Access AI products built through competitive development (Fabric CLI, etc.)", "Submit bug reports and improvements for AI tools", "Use Fabric CLI and other AI-powered developer tools" ] }, "pricing": { "model": "token-gated", "currency": "TAO", "free_tier": { "available": false, "limits": null }, "tiers": [], "notes": "No traditional SaaS pricing listed publicly." }, "access": { "api_available": true, "api_url": null, "api_docs": "https://platform.network/docs", "requires_auth": true, "auth_method": "Bittensor wallet signature", "sdk": [], "playground": null }, "links": { "website": "https://platform.network", "github": "https://github.com/PlatformNetwork/platform", "docs": "https://platform.network/docs", "discord": "https://discord.platform.network", "twitter": null, "blog": null }, "on_chain": { "owner_contact": "platform@cortex.foundation", "logo_url": "https://www.platform.network/logo.png", "additional": "Subnet 100 on Bittensor Network; uses sub-subnet technology for multiple simultaneous challenges" }, "market_data": { "mcap_tao": 16305.5, "price_tao": 0.010643106, "tao_locked": 3090.1, "alpha_in_pool": 290340.8, "alpha_staked": 1241685.3, "rank": 83, "block": "8154319", "updated_at": "2026-05-10T16:19:40.699Z" }, "sources_reviewed": [ "https://platform.network", "https://github.com/PlatformNetwork/platform" ], "data_gaps": { "unverified": [ "end-user product pricing", "Fabric CLI availability details" ], "inaccessible": [], "missing": [ "price_tao", "tao_locked", "alpha_in_pool", "alpha_staked", "discord", "twitter" ], "stale": [] }, "researched_at": "2026-04-29T15:45:00Z", "confidence": 0.82, "notes": "Well-described product model on website. GitHub confirms multi-challenge subnet with sub-subnet technology. Challenge types include Term Challenge and Bug Bounty. Security stack uses Intel TDX + Ed25519. Active: 1.28M+ benchmark runs.", "assets": { "logo": "assets/sn100/logo.png", "logo_source": "https://www.platform.network/logo.png", "favicon": "assets/sn100/favicon.png", "favicon_source": "https://www.platform.network/apple-touch-icon.png" }, "mcap_tao": 15976.9 }, "sn101_unknown": { "netuid": 101, "name": "Unknown", "product": { "tagline": "This slot is inactive", "category": "Misc", "subcategory": "Unknown", "tags": [ "bittensor" ], "status": "development", "description": "This slot has no registered identity, no web presence, and no known product.", "target_users": [ "decentralized ecosystem users" ], "use_cases": [] }, "pricing": { "model": "unknown", "currency": null, "free_tier": { "available": false, "limits": null }, "tiers": [], "notes": "" }, "access": { "api_available": false, "api_url": null, "api_docs": null, "requires_auth": false, "auth_method": null, "sdk": [], "playground": null }, "links": { "website": null, "github": null, "docs": null, "discord": null, "twitter": null, "blog": null }, "on_chain": { "owner_contact": null, "logo_url": null, "additional": "No on-chain identity. No Discord channel found. No content mentions in AgentDB." }, "market_data": { "mcap_tao": 10011.8, "price_tao": 0.004110272, "tao_locked": 3290, "alpha_in_pool": 800429.1, "alpha_staked": 1635372, "rank": 102, "block": "8154319", "updated_at": "2026-05-10T16:19:40.700Z" }, "sources_reviewed": [ "Discord database search (no channel for 101)", "AgentDB discord_messages content search", "Web search (bot-challenged)" ], "data_gaps": { "unverified": [], "inaccessible": [], "missing": [ "all identity information — website, github, team, purpose, technology" ], "stale": [] }, "researched_at": "2026-05-01T22:30:00Z", "confidence": "low", "notes": "Completely unknown subnet. No public identity of any kind. Possibly very early stage, ghost subnet, or intentionally stealth. No Discord channel found for this subnet (searched May 2026)." }, "sn103_djinn": { "netuid": 103, "name": "Djinn", "product": { "tagline": "Sports betting signal marketplace with cryptographic proof of track records", "category": "Predictive Systems", "subcategory": "Predictions", "tags": [ "sports-betting", "signals", "cryptographic-proof", "mpc", "base-chain", "usdc", "tls-notary" ], "status": "live", "description": "Djinn Protocol is a sports betting signal marketplace on Base chain. Analysts post encrypted predictions that subscribers buy based on verifiable, auditable track records. Settlement is automatic on-chain using cryptographic consensus — no middleman can see picks or manipulate results.", "target_users": [ "Sports betting analysts", "Professional bettors", "Retail sports investors", "Analytics firms" ], "use_cases": [ "Publish encrypted sports betting signals with cryptographic proof of performance", "Subscribe to verified analysts based on auditable ROI and Sharpe ratios", "Monetize betting edge by selling picks without revealing methodology", "Verify analyst track records via on-chain settlement and subgraph indexing" ] }, "pricing": { "model": "usage-based", "currency": "USDC", "free_tier": { "available": false, "limits": null }, "tiers": [], "notes": "Subscribers pay USDC (escrowed on Base L2) to access analyst signals. Analysts deposit collateral to back SLA guarantees. Pricing set by individual analysts." }, "access": { "api_available": true, "api_url": null, "api_docs": null, "requires_auth": true, "auth_method": "wallet", "sdk": [], "playground": "https://djinn.gg/" }, "links": { "website": "https://djinn.gg", "github": "https://github.com/Djinn-Inc/djinn/", "docs": null, "discord": null, "twitter": null, "blog": null }, "on_chain": { "owner_contact": "info@djinn.gg", "logo_url": "https://raw.githubusercontent.com/Djinn-Inc/djinn-assets/main/djinn-logo-black.png", "additional": "Information X Execution" }, "data_gaps": { "unverified": [ "Signal pricing from individual analysts" ], "inaccessible": [ "djinn.gg not fetched — may contain subscription details and analyst directory" ], "missing": [ "Detailed subscription pricing", "Discord link", "Twitter account" ], "stale": [] }, "researched_at": "2026-04-28T20:10:00Z", "confidence": "medium", "sources_reviewed": [ "https://bittensor.ai/subnets/103 (via Jina Reader)" ], "notes": "Highly active subnet — 239 miners (most in our research). Health 72/100. Sophisticated architecture: smart contracts on Base (Ethereum L2), MPC for key management, TLSNotary for odds verification, Shamir secret sharing. Network share 0.63% (#10 ranked). Uses The Graph subgraph for indexing. Web client on Vercel (migrating to IPFS). Unique cryptographic approach to signal verification.", "market_data": { "mcap_tao": 19270.4, "price_tao": 0.005764147, "tao_locked": 5182, "alpha_in_pool": 899001.7, "alpha_staked": 2444155.2, "rank": 70, "block": "8154319", "updated_at": "2026-05-10T16:19:40.701Z" }, "assets": { "logo": "assets/sn103/logo.png", "logo_source": "https://raw.githubusercontent.com/Djinn-Inc/djinn-assets/main/djinn-logo-black.png", "favicon": "assets/sn103/favicon.png", "favicon_source": "https://www.djinn.gg/apple-touch-icon.png" }, "mcap_tao": 21694.1 }, "sn104_forsale": { "netuid": 104, "name": "For sale (burn to uid1)", "product": { "tagline": "This slot is inactive", "category": "Misc", "subcategory": "Inactive", "tags": [ "abandoned", "for-sale", "scam", "placeholder", "rug" ], "status": "deprecated", "description": "This slot has no active product and is listed for sale.", "target_users": [ "N/A — project is deprecated" ], "use_cases": [] }, "pricing": { "model": "unknown", "currency": null, "free_tier": { "available": false, "limits": null }, "tiers": [], "notes": "No product — slot is listed for sale." }, "access": { "api_available": false, "api_url": null, "api_docs": null, "requires_auth": false, "auth_method": null, "sdk": [], "playground": null }, "links": { "website": null, "github": null, "docs": null, "discord": null, "twitter": null, "blog": null }, "on_chain": { "owner_contact": "xytaol (Discord, confirmed as owner or seller)", "logo_url": null, "additional": "Discord channel: բ・sovereign・104. Community flagged as scam. Discord user sstormy111 noted: 'subnet token is rug token, don't hold!' and 'Owner has 174 tao as alpha token'. Multiple community members asked for deregistration. A DAO member (☯・rao) stated a PR to cut emissions was blocked by supermajority in December. Offer of 4.25 TAO made for the subnet. The name 'for sale (burn to uid1)' was likely added by whoever controls the on-chain name/identity field." }, "market_data": { "mcap_tao": 20197.7, "price_tao": 0.005127437, "tao_locked": 6107.2, "alpha_in_pool": 1191081.9, "alpha_staked": 2748065.4, "rank": 62, "block": "8154319", "updated_at": "2026-05-10T16:19:40.701Z" }, "sources_reviewed": [ "Discord channel: բ・sovereign・104 (multiple messages)", "Discord content search for 'sn104' references" ], "data_gaps": { "unverified": [ "Whether subnet was ever a legitimate project", "Original intent of 'sovereign' name" ], "inaccessible": [ "No public website or docs" ], "missing": [ "Everything — product, website, GitHub, docs" ], "stale": [] }, "researched_at": "2026-04-29T15:49:00.000Z", "confidence": "high", "notes": "High confidence that this is an abandoned/scam subnet. Multiple independent community sources confirm: listed for sale, owner confirmed sale intent, community flagged as rug, emission cut PR was blocked. The market cap of ~14.6K TAO reflects residual liquidity pool value, not a real product. Should be treated as deprecated/abandoned in the Atlas catalog. The 'burn to uid1' identifier in the name field was likely set by the on-chain identity to signal this to the community." }, "sn105_beam": { "netuid": 105, "name": "Beam", "product": { "tagline": "Verifiable bandwidth coordination for data transfer", "category": "Compute & Infrastructure", "subcategory": "Bandwidth Infrastructure", "tags": [ "bandwidth", "data transfer", "proof-of-bandwidth", "AI pipelines", "distributed", "MCP" ], "status": "live", "description": "BEAM is a bandwidth coordination layer that enables verifiable data transfer. Using Proof-of-Bandwidth, every delivery is verified and performance-aligned. Orchestrators route transfers to optimal workers with parallel chunk transfers and Merkle proof validation. Supports AI pipeline transfers, cross-cloud migration, and large file distribution.", "target_users": [ "AI/ML engineers", "cloud infrastructure teams", "developers building data pipelines", "autonomous agent systems" ], "use_cases": [ "High-volume dataset movement for AI model training and inference", "Cross-cloud data synchronization (AWS, GCP, Azure, private infra)", "Event-driven machine-to-machine transfers", "MCP infrastructure for distributed AI agents", "Verifiable bandwidth benchmarking" ] }, "pricing": { "model": "unknown", "currency": null, "free_tier": { "available": false, "limits": null }, "tiers": [], "notes": "No public pricing page found. Client pricing not yet documented publicly." }, "access": { "api_available": true, "api_url": null, "api_docs": null, "requires_auth": false, "auth_method": null, "sdk": [], "playground": null }, "links": { "website": "https://b1m.ai", "github": "https://github.com/orgs/Beam-Network/repositories", "docs": null, "discord": "https://discord.com/channels/799672011265015819/1437473346026475702", "twitter": null, "blog": null }, "on_chain": { "owner_contact": "info@b1m.ai", "logo_url": "https://pbs.twimg.com/profile_images/2029345851412185088/vd2bTk4L_400x400.jpg", "additional": null }, "market_data": { "mcap_tao": 18797.6, "price_tao": 0.010643178, "tao_locked": 4328.8, "alpha_in_pool": 406718.6, "alpha_staked": 1359446.2, "rank": 72, "block": "8154319", "updated_at": "2026-05-10T16:19:40.702Z" }, "sources_reviewed": [ "https://b1m.ai", "https://github.com/orgs/Beam-Network/repositories" ], "data_gaps": { "unverified": [ "API endpoint details", "pricing structure" ], "inaccessible": [ "specific GitHub repo README" ], "missing": [ "price_tao", "tao_locked", "alpha_in_pool", "alpha_staked", "api_url", "api_docs", "discord", "twitter", "docs_url" ], "stale": [] }, "researched_at": "2026-04-29T15:45:00Z", "confidence": 0.65, "notes": "Website clearly describes the product and architecture. GitHub org exists but specific repo READMEs not directly fetched. No pricing or auth details found — likely early-stage commercial offering.", "assets": { "logo": "assets/sn105/logo.jpg", "logo_source": "https://pbs.twimg.com/profile_images/2029345851412185088/vd2bTk4L_400x400.jpg", "favicon": "assets/sn105/favicon.svg", "favicon_source": "https://b1m.ai/icon.svg?c4c2b0695c0775f3" }, "mcap_tao": 19719.5 }, "sn106_voidai": { "netuid": 106, "name": "VoidAI", "product": { "tagline": "Cross-chain bridge for TAO and ALPHA tokens", "category": "Finance", "subcategory": "Cross-Chain Bridge", "tags": [ "bridge", "cross-chain", "TAO", "ALPHA", "Ethereum", "Base", "Solana", "CCIP", "liquid-staking", "DeFi", "interoperability" ], "status": "live", "description": "VoidAI enables seamless asset movement between Bittensor, Ethereum, Base, and Solana. Bridge native tokens and ALPHA tokens into wrapped representations (WTAO, WALPHA) on EVM chains. The ecosystem includes a bridge app, Chainlink CCIP routing, Ethereum Staking Vaults (liquid staking with oTAO receipt tokens), a Swap Engine on Base, and a Launchpad for token launches.", "target_users": [ "DeFi users wanting exposure to TAO/ALPHA on Ethereum", "Developers building cross-chain apps", "Liquidity providers", "DeFi protocols seeking Bittensor asset composability" ], "use_cases": [ "Bridge TAO from Bittensor to Ethereum/Base/Solana as WTAO", "Bridge network ALPHA tokens to EVM chains as WALPHA", "Liquid staking of WTAO for oTAO with APY accrual", "Swap between WTAO and WALPHA tokens", "Multi-chain routing via Chainlink CCIP", "Developer SDK integration for cross-chain apps" ] }, "pricing": { "model": "0.5% bridge fee + 0.002 TAO gas", "currency": "TAO", "free_tier": { "available": false, "limits": null }, "tiers": [ { "name": "Bridge fee", "price": "0.002 TAO gas + higher of 0.5% or 0.005 TAO for Ethereum fees", "features": [ "Bridge TAO/ALPHA to Ethereum", "Dynamic Ethereum gas calculation" ] } ], "notes": "Fees: 0.002 TAO gas, plus whichever is higher of 0.5% or 0.005 TAO for Ethereum fees. Gas calculated dynamically based on current Ethereum gas prices." }, "access": { "api_available": true, "api_url": "https://app.voidai.com", "api_docs": "https://docs.voidai.com/sdk", "requires_auth": false, "auth_method": "EVM wallet connect", "sdk": [ "VoidAI SDK (JavaScript/TypeScript)" ], "playground": "https://app.voidai.com" }, "links": { "website": "https://voidai.com", "github": null, "docs": "https://docs.voidai.com", "discord": null, "twitter": null, "blog": "https://voidai.com/blogs" }, "on_chain": { "owner_contact": "aizorr0 (Discord)", "logo_url": null, "additional": "Channel: դ・voidai・106. Also known as a Liquidity Provisioning subnet. Building lending platform on top of bridge infrastructure using Bittensor EVM." }, "market_data": { "mcap_tao": 15734.2, "price_tao": 0.004059579, "tao_locked": 7566.8, "alpha_in_pool": 1863929.1, "alpha_staked": 2011896.9, "rank": 87, "block": "8154319", "updated_at": "2026-05-10T16:19:40.703Z" }, "sources_reviewed": [ "https://voidai.com", "https://app.voidai.com", "https://docs.voidai.com", "Discord channel: դ・voidai・106", "Discord message content search (sn106 references)" ], "data_gaps": { "unverified": [ "Lending platform launch timeline", "SDK completeness" ], "inaccessible": [ "GitHub repository not found publicly" ], "missing": [ "Twitter/social links", "GitHub repo", "Token price details" ], "stale": [] }, "researched_at": "2026-04-29T15:49:00.000Z", "confidence": "high", "notes": "Well-documented product with live app, comprehensive docs, and active Discord community. Clearly a functional cross-chain bridge operating today. Lending platform is planned future product. The subnet incentivizes the bridge validator network.", "assets": { "favicon": "assets/sn106/favicon.ico", "favicon_source": "https://voidai.com/favicon.ico" } }, "sn107_minos": { "netuid": 107, "name": "Minos", "product": { "tagline": "Genomic variant calling and benchmarking platform", "category": "Science", "subcategory": "Genomics", "tags": [ "genomics", "variant-calling", "bioinformatics", "DNA", "precision-medicine", "healthcare", "science", "HelixForge" ], "status": "live", "description": "Minos is a genomic variant calling and benchmarking platform. Every 72 minutes, a fresh challenge genome with hidden synthetic mutations is generated. Optimize configurations for state-of-the-art variant calling tools (GATK, DeepVariant, etc.) to identify mutations with maximum accuracy.", "target_users": [ "genomics researchers", "bioinformatics engineers", "clinical genomics labs", "precision medicine companies", "AI/ML researchers in life sciences" ], "use_cases": [ "Clinical-grade DNA mutation detection", "Genomic variant calling benchmarking", "Hyperparameter optimization for bioinformatics pipelines", "Decentralized genomics computation", "Precision medicine research" ] }, "pricing": { "model": "open-source", "currency": null, "free_tier": { "available": true, "limits": "Open participation as miner or validator" }, "tiers": [], "notes": "Dashboard coming soon. No external pricing found." }, "access": { "api_available": true, "api_url": null, "api_docs": "https://docs.theminos.ai", "requires_auth": false, "auth_method": null, "sdk": [ "bittensor" ], "playground": null }, "links": { "website": "https://theminos.ai", "github": "https://github.com/minos-protocol/minos_subnet", "docs": "https://docs.theminos.ai", "discord": "https://discord.com/channels/799672011265015819/1467949024769478793", "twitter": "https://x.com/theminos_ai", "blog": null }, "on_chain": { "owner_contact": null, "logo_url": "https://theminos.ai/_next/image?url=%2Flogo.png&w=3840&q=75", "additional": "bittensor.ai tagline: 'The Foundational Layer of Genomics'. SubnetRadar shows 29 commits in 30d, 1 contributor, 20 stars, Active status, last commit 4/29/2026." }, "market_data": { "mcap_tao": 20908.8, "price_tao": 0.025742814, "tao_locked": 4016.6, "alpha_in_pool": 156027.9, "alpha_staked": 656189.8, "rank": 61, "block": "8154319", "updated_at": "2026-05-10T16:19:40.704Z" }, "sources_reviewed": [ "https://theminos.ai", "https://github.com/minos-protocol/minos_subnet", "https://subnetradar.com/subnet/107", "https://bittensor.ai/subnets/107 (not fetched directly, referenced from search results)" ], "data_gaps": { "unverified": [ "price_tao estimated from SubnetRadar USD price ($5.96) / TAO price ($251) — approximate", "tao_locked and alpha_in_pool not fetched from bittensor.ai/subnets/107" ], "inaccessible": [ "Dashboard 'coming soon' per website" ], "missing": [ "tao_locked", "alpha_in_pool", "alpha_staked", "Blog URL" ], "stale": [] }, "researched_at": "2026-04-29T15:50:00.000Z", "confidence": "high", "notes": "Active and well-documented subnet. GitHub README is comprehensive with architecture diagrams, tooling (GATK, DeepVariant, FreeBayes, BCFtools templates), and setup guides. Website is live (theminos.ai). SubnetRadar health: active, 29 commits/30d as of 4/29/2026. Unique science-focused subnet targeting real clinical genomics use case. SubnetRadar ticker showed ~$5.96 USD price (estimated 0.02374 TAO). Integrated with Hippius SN75 for decentralized BAM file storage.", "assets": { "logo": "assets/sn107/logo.png", "logo_source": "https://theminos.ai/_next/image?url=%2Flogo.png&w=3840&q=75", "favicon": "assets/sn107/favicon.png" } }, "sn10_swap": { "netuid": 10, "name": "Swap", "product": { "tagline": "TAO/USDC liquidity on TaoFi", "category": "Finance", "subcategory": "Decentralized Exchange", "tags": [ "liquidity", "defi", "taofi", "usdc", "amm", "bittensor-onboarding" ], "status": "beta", "description": "Swap provides liquidity to the TAO/USDC trading pair on TaoFi, a decentralized exchange. Liquidity providers earn trading fees proportional to their position over 24-hour periods.", "target_users": [ "DeFi users wanting to provide TAO/USDC liquidity", "TAO holders seeking yield from LP positions", "Liquidity providers in the decentralized ecosystem", "Crypto users being onboarded to the network via familiar DeFi mechanics" ], "use_cases": [ "Provide TAO/USDC liquidity and earn trading fees", "Onboard new users via EVM wallet mechanics", "Trade TAO/USDC with deep liquidity", "Manage LP positions for TAO/USDC pairs" ] }, "pricing": { "model": "free", "currency": null, "notes": "No subscription fee. Liquidity providers earn from trading fees generated by their positions." }, "access": { "api_available": true, "api_url": "https://taofi.com", "requires_auth": true, "auth_method": "wallet", "playground": "https://taofi.com" }, "links": { "website": "https://taofi.com", "github": "https://github.com/Swap-Subnet/swap-subnet", "docs": "https://github.com/Swap-Subnet/swap-subnet", "discord": "https://discord.gg/H8wfB92gUA", "twitter": "https://x.com/_taofi_", "blog": null }, "on_chain": { "owner_contact": null, "logo_url": "https://www.taofi.com/images/SN10-Swap-Dark.png", "additional": "Swap is onboarding users to Bittensor. Greek letter Kappa (κ)." }, "data_gaps": { "unverified": [ "New Astrid platform status and whether TAO<>USDC pool is still active" ], "inaccessible": [], "missing": [ "Consumer onboarding docs for Astrid platform" ] }, "researched_at": "2026-05-06T17:00:00Z", "confidence": "medium", "notes": "Health score 42/100 'stale'. GitHub: Swap-Subnet/swap-subnet (0 commits/30d, last commit 172 days ago = Nov 2025) — development appears paused. 0 active miners as of Apr 26 2026. 15 validators still active. EVM wallet integration for LP provision. Market cap $4.1M, TVL $8.2M. Despite no miners, the κ token still trades actively ($201M 24h volume). IMPORTANT: TaoFi has been acquired by Astrid. New UI at https://astrid.taofi.com/. Old lending/borrowing/crosschain positions should be closed (support ends Feb 28, 2026 per site notice). Twitter: @_taofi_, Discord: discord.gg/H8wfB92gUA.", "sources_reviewed": [ "https://bittensor.ai/subnets/10 (on-chain data and auto-generated description)", "https://github.com/Swap-Subnet/swap-subnet (GitHub)", "https://taofi.com (main site — crawled Apr 2026, confirmed TaoFi acquired by Astrid, new UI at astrid.taofi.com)" ], "assets": { "logo": "assets/sn10/logo.png", "logo_source": "https://r2.bittensor.ai/chain-logos/10/f28740c9b468371f20dcd9d35d7094402bcf5fd30b385b8e9f8dc9a84ec54692.png", "favicon": "assets/sn10/favicon.ico", "favicon_source": "https://www.taofi.com/favicon-taofi.ico" }, "market_data": { "mcap_tao": 26877.9, "price_tao": 0.005370461, "tao_locked": 15081.6, "alpha_in_pool": 2808254.9, "alpha_staked": 2196508.8, "rank": 46, "block": "8154319", "updated_at": "2026-05-10T16:19:40.705Z" }, "mcap_tao": 30852.3 }, "sn110_green_compute": { "netuid": 110, "name": "Green Compute", "product": { "tagline": "Clean AI inference — GPU compute powered by renewable energy", "category": "Compute & Infrastructure", "subcategory": "Green GPU Compute", "tags": [ "gpu", "green-compute", "biogas", "inference", "serverless", "openai-compatible" ], "status": "live", "description": "Green Compute is an inference marketplace where only verifiably green compute is used. First wave of providers run GPUs (RTX 4090s, 5090s) on UK farm biogas. Offers GPU rental by the minute, one-click model deployment (Llama, Qwen, Mistral, Gemma), OpenAI-compatible API, fine-tuning (LoRA/QLoRA), multi-GPU training, and image/video generation.", "target_users": [ "AI developers", "ML teams", "researchers", "universities", "ESG-conscious companies" ], "use_cases": [ "LLM inference", "Model fine-tuning", "Multi-GPU training", "Image/video generation", "AI agent workloads", "Research" ] }, "pricing": { "model": "from $0.40/GPU/hr", "currency": "USD", "free_tier": { "available": false, "limits": null }, "tiers": [ { "name": "RTX 4090", "price": "From $0.40/GPU/hr", "features": [ "24 GB GDDR6X", "1008 GB/s bandwidth" ] }, { "name": "RTX 5090", "price": "From $0.70/GPU/hr", "features": [ "32 GB Blackwell", "FP4 tensor cores" ] } ], "notes": "Prices are indicative starting rates set by individual verified providers, updated in real time." }, "access": { "api_available": true, "api_url": null, "api_docs": "https://www.green-compute.com", "requires_auth": false, "auth_method": null, "sdk": [], "playground": "https://www.green-compute.com/login" }, "links": { "website": "https://www.green-compute.com", "github": null, "docs": null, "discord": null, "twitter": null, "blog": null }, "on_chain": { "owner_contact": null, "logo_url": null, "additional": "No on-chain identity registered. No Discord channel found." }, "market_data": { "mcap_tao": 12806.9, "price_tao": 0.005110552, "tao_locked": 3636.1, "alpha_in_pool": 711494.4, "alpha_staked": 1794469.8, "rank": 97, "block": "8154319", "updated_at": "2026-05-10T16:19:40.706Z" }, "sources_reviewed": [ "Discord database search (no channel found)", "Web search (bot-challenged)", "AgentDB discord_messages content search" ], "data_gaps": { "unverified": [], "inaccessible": [], "missing": [], "stale": [] }, "researched_at": "2026-05-02T21:10:35Z", "confidence": "high", "notes": "No public identity found. Name 'Green Compute' is an Atlas-assigned working name based on subnet context. This subnet has not claimed its Discord channel and has no discoverable web presence. Possibly very early stage or stealth. No Discord channel found for this subnet (searched May 2026).", "assets": { "favicon": "assets/sn110/favicon.png" } }, "sn111_oneoneone": { "netuid": 111, "name": "Oneoneone", "product": { "tagline": "Authentic human content datasets — Google Maps reviews and X posts", "category": "Data Pipeline", "subcategory": "User-Generated Content", "tags": [ "ugc", "web-scraping", "data-collection", "social-media", "reviews", "forums", "apify", "real-time" ], "status": "live", "description": "OneOneOne collects, validates, and delivers authentic human-generated content from Google Maps reviews and X (Twitter) posts. Validated datasets are available for purchase — pay with crypto, receive via email.", "target_users": [ "AI developers", "ML researchers", "data scientists", "companies needing training data" ], "use_cases": [ "LLM training data with authentic human voices", "Sentiment analysis dataset construction", "Product review aggregation for e-commerce AI", "Social media monitoring and analytics", "Real-time web data feeds for AI applications" ] }, "pricing": { "model": "contact-sales", "currency": null, "free_tier": { "available": false, "limits": null }, "tiers": [], "notes": "Datasets purchased directly via crypto payment, delivered by email." }, "access": { "api_available": true, "api_url": null, "api_docs": null, "requires_auth": true, "auth_method": "Apify API key (for miners using Apify)", "sdk": [], "playground": null }, "links": { "website": "https://oneoneone.io", "github": "https://github.com/oneoneone-io/subnet-111", "docs": null, "discord": null, "twitter": null, "blog": null }, "on_chain": { "owner_contact": "stux_one, macgyver_one (Discord handles)", "logo_url": null, "additional": "Discord channel: ё・oneoneone・111 (ID: 1375215258678857728). GitHub referenced in launch but URL not disclosed publicly. No X/Twitter or external website linked publicly." }, "market_data": { "mcap_tao": 14468.2, "price_tao": 0.003809622, "tao_locked": 4763.8, "alpha_in_pool": 1250466.9, "alpha_staked": 2547343.9, "rank": 91, "block": "8154319", "updated_at": "2026-05-10T16:19:40.707Z" }, "sources_reviewed": [ "Discord channel oneoneone-111 (launch messages from stux_one and macgyver_one)", "AgentDB discord_messages" ], "data_gaps": { "unverified": [ "GitHub repository URL", "whitepaper draft location", "data buyer API details" ], "inaccessible": [], "missing": [ "website", "public GitHub link", "twitter", "data consumer API docs" ], "stale": [] }, "researched_at": "2026-05-02T21:10:35Z", "confidence": "medium", "notes": "Well-described product from Discord launch messages. Team deliberately keeps GitHub/X private ('why no X and GitHub?' asked by community). WandB dashboard referenced but not linked. Differentiates from SN13 and similar Apify-scraper subnets by focusing on real-time UGC with speed + quality + recency scoring. Miners need Apify API key or custom scraper. Validators optionally use Apify for spot-checking.", "assets": { "favicon": "assets/sn111/favicon.png" } }, "sn112_minotaur": { "netuid": 112, "name": "Minotaur", "product": { "tagline": "DEX aggregator and swap intent solver (in development)", "category": "Finance", "subcategory": "DEX Aggregator", "tags": [ "defi", "agentic", "intents", "ai-agents", "finance", "stealth" ], "status": "development", "description": "Minotaur is building a distributed DEX aggregator and swap intent solver engine. Currently in development with a roadmap published at minotaursubnet.com.", "target_users": [ "DeFi traders", "AI agent developers", "on-chain intent solvers" ], "use_cases": [ "Agentic DeFi intent routing and execution", "AI-powered on-chain transaction optimization", "Decentralized DeFi automation" ] }, "pricing": { "model": "unknown", "currency": null, "free_tier": { "available": false, "limits": null }, "tiers": [], "notes": "No pricing information available. Not yet launched." }, "access": { "api_available": false, "api_url": null, "api_docs": null, "requires_auth": false, "auth_method": null, "sdk": [], "playground": null }, "links": { "website": "https://minotaursubnet.com", "github": null, "docs": null, "discord": "https://discord.gg/8Uevghx5Qx", "twitter": "https://x.com/minotaursubnet", "blog": null }, "on_chain": { "owner_contact": "t.slice (Discord handle)", "logo_url": null, "additional": "Discord channel: ђ・minoτaur・112 (ID: 1376603375113863178). No public code or docs released as of April 2026." }, "market_data": { "mcap_tao": 14636.5, "price_tao": 0.005693935, "tao_locked": 5094.2, "alpha_in_pool": 894671.2, "alpha_staked": 1675869, "rank": 89, "block": "8154319", "updated_at": "2026-05-10T16:19:40.707Z" }, "sources_reviewed": [ "Discord channel minotaur-112" ], "data_gaps": { "unverified": [ "technology stack", "DeFi protocols targeted", "ecosystem partners" ], "inaccessible": [], "missing": [ "website", "github", "whitepaper", "roadmap", "any public documentation" ], "stale": [] }, "researched_at": "2026-05-02T21:10:35Z", "confidence": "medium", "notes": "Discord (Apr 2026): Team (t.slice) says \"actually very far along, delay has been exploring branding, working through arrangements with ecosystem partners for something big we haven't announced yet.\" 6 months since registration with no public product. Community member (blackout.nomad) frustrated: \"6 months in and nothing to show for at all?\" Only 4 messages in channel total.", "assets": { "favicon": "assets/sn112/favicon.png" } }, "sn115_hashichain": { "netuid": 115, "name": "SoulX", "product": { "tagline": "AI-powered blockchain analytics (in development)", "category": "Data Pipeline", "subcategory": "Blockchain Analytics", "tags": [ "AI-agents", "Layer-1", "blockchain", "Probabilistic-State-Machine", "TEE", "Proof-of-Entanglement", "autonomous-agents", "intent-ledger", "coordination" ], "status": "development", "description": "SoulX (formerly HashiChain) is developing an AI-powered blockchain analytics and sentiment platform. Currently in early development phase.", "target_users": [ "AI agent developers", "Autonomous agent operators", "Blockchain infrastructure builders", "Researchers in agent coordination", "Decentralized AI projects" ], "use_cases": [ "Privacy-preserving agent-to-agent coordination and value settlement", "Intent matching between autonomous AI agents", "Secure multi-agent transaction execution in TEEs", "Infrastructure layer for agent economy applications", "Cross-silo agent communication via privacy-preserving tunnels" ] }, "pricing": { "model": "unknown", "currency": null, "free_tier": { "available": false, "limits": null }, "tiers": [], "notes": "No pricing information available. Early development phase." }, "access": { "api_available": false, "api_url": null, "api_docs": null, "requires_auth": false, "auth_method": null, "sdk": [], "playground": null }, "links": { "website": null, "github": "https://github.com/hashi115/hashichain", "docs": null, "discord": null, "twitter": null, "blog": null }, "on_chain": { "owner_contact": null, "logo_url": null, "additional": "GitHub repo (hashi115/hashichain): 5 commits, 1 star, MIT license. Contains README whitepaper and assets folder only — no code yet. Community asked for GitHub code in Discord (soulx・115 channel). The 'SoulX' channel (soulx・115) appears to be the active Discord channel for this netuid." }, "market_data": { "mcap_tao": 16232.3, "price_tao": 0.007529355, "tao_locked": 6034.1, "alpha_in_pool": 801409.6, "alpha_staked": 1354460.5, "rank": 84, "block": "8154319", "updated_at": "2026-05-10T16:19:40.707Z" }, "sources_reviewed": [ "https://github.com/hashi115/hashichain", "Discord content search for 'hashichain'", "Discord soulx・115 channel references" ], "data_gaps": { "unverified": [ "Whether SoulX and HashiChain are the same project or different occupants of netuid 115", "Whether miners/validators are actually running" ], "inaccessible": [ "No website", "No deployed code" ], "missing": [ "Website URL", "Product documentation", "Current development status", "Team information" ], "stale": [] }, "researched_at": "2026-05-01T22:30:00Z", "confidence": "low", "notes": "Discord shows troubled history: dTAO manipulation concerns (Feb 2026), wallet activity during Kusanagi launch questioned by community. Team updates sparse — last substantive dev update was Nov 2025 about a new model. Grafana dashboard at grafana.bactensor.io. Config server at config.asiatensor.xyz. Community sentiment is skeptical.", "assets": { "favicon": "assets/sn115/favicon.png" } }, "sn118_hodl": { "netuid": 118, "name": "HODL", "product": { "tagline": "Crypto ETF indices — curated baskets of tokens", "category": "Finance", "subcategory": "Crypto ETF Index", "tags": [ "etf", "index-fund", "staking", "defi", "portfolio", "trustedstake", "investing88", "hodl" ], "status": "live", "description": "HODL is a crypto ETF platform built by Investing88 and TrustedStake. Stake into curated crypto ETF-style baskets (TSBCSI, Top 10, Full Stack) through TrustedStake indices. TrustedStake acts as a staking proxy with permission only to stake/unstake — no custody or transfer rights. Funds remain under your ownership.", "target_users": [ "Crypto investors seeking diversified exposure", "DeFi users", "Index fund investors" ], "use_cases": [ "Invest in curated crypto ETF-style baskets (TSBCSI, Top 10, Full Stack)", "Gain diversified crypto exposure through a single index position", "Automated hourly portfolio rebalancing across indices" ] }, "pricing": { "model": "free", "currency": null, "free_tier": { "available": true, "limits": "Minimum 2 TAO equivalent balance required" }, "tiers": [ { "name": "Index participation", "price": "2 TAO minimum balance", "description": "Stake wallet into a TrustedStake index (TSBCSI, Top 10, or Full Stack) for diversified crypto exposure." } ], "notes": "Delegate staking proxy to TrustedStake. Funds remain under your ownership — TrustedStake cannot withdraw or transfer." }, "access": { "api_available": true, "api_url": null, "api_docs": "https://trustedstake.gitbook.io/trustedstake/", "requires_auth": true, "auth_method": "Bittensor wallet + staking proxy delegation to TrustedStake", "sdk": [], "playground": null }, "links": { "website": "https://trustedstake.gitbook.io/trustedstake/", "github": "https://github.com/mobiusfund/etf", "docs": "https://trustedstake.gitbook.io/trustedstake/", "discord": null, "twitter": "https://x.com/TrustedStake", "blog": null }, "on_chain": { "owner_contact": "Jake / Investing88 (Discord: spacetime_tao), TrustedStake team (Doug, Ed)", "logo_url": null, "additional": "Discord channel: ⲁ・hodl-eτf・118 (ID: 1381659575522033724). TrustedStake indices: TSBCSI, Top 10, Full Stack. Coldkey swapped from 5H8Uhqp2K5vq8Y331DHcB3EchRJwb5ZBevpAFYEAZpQTg3b5 to 5CdS9RLYMZzgHUCmQagpqzhVkJFoNxasLyaCMA72wY3GvGG5." }, "market_data": { "mcap_tao": 16885.4, "price_tao": 0.00843221, "tao_locked": 4397.7, "alpha_in_pool": 521534.3, "alpha_staked": 1480948.5, "rank": 82, "block": "8154319", "updated_at": "2026-05-10T16:19:40.708Z" }, "sources_reviewed": [ "Discord channel hodl-118", "https://github.com/mobiusfund/etf", "https://trustedstake.gitbook.io/trustedstake/" ], "data_gaps": { "unverified": [ "exact index compositions (TSBCSI, Top 10, Full Stack assets)", "emission scoring formula details" ], "inaccessible": [ "trustedstake.gitbook.io details (not fetched)" ], "missing": [ "dedicated website", "X/Twitter for HODL subnet specifically" ], "stale": [] }, "researched_at": "2026-04-29T15:50:00.000Z", "confidence": "high", "notes": "Well-documented via Discord. Joint venture between Investing88 and TrustedStake teams. Unique DeFi concept — using Bittensor mining incentives to drive participation in crypto ETF indices. Community reports issues with rebalancing causing unexpected alpha position changes across subnets 3 and 81 during a major event. GitHub repo confirmed (mobiusfund/etf). Gitbook docs confirmed.", "assets": { "favicon": "assets/sn118/favicon.png" } }, "sn119_satori": { "netuid": 119, "name": "Satori", "product": { "tagline": "AI task validation (controversial — use with caution)", "category": "Model & Agent Development", "subcategory": "Task Validation", "tags": [ "ai", "task-validation", "scoring", "miners", "validators", "on-chain" ], "status": "beta", "description": "Satori claims to be an AI data pipeline and task distribution platform. Note: multiple community members have raised security concerns about the codebase, particularly around wallet management and centralized architecture. The team has pushed updates to address some concerns.", "target_users": [ "ML researchers", "AI developers" ], "use_cases": [ "Distribute AI tasks across a decentralized operator network", "Validate AI task outputs through on-chain scoring", "Participate as a operator in AI task completion workflows" ] }, "pricing": { "model": "unknown", "currency": null, "free_tier": { "available": false, "limits": null }, "tiers": [], "notes": "No pricing information available." }, "access": { "api_available": false, "api_url": null, "api_docs": null, "requires_auth": false, "auth_method": null, "sdk": [], "playground": null }, "links": { "website": null, "github": null, "docs": null, "discord": null, "twitter": null, "blog": null }, "on_chain": { "owner_contact": "kun_0743 (Discord handle)", "logo_url": null, "additional": "Discord channel: ⲃ・saτori・119 (ID: 1381660350818029578). Website and GitHub both return errors (connection refused / 404)." }, "market_data": { "mcap_tao": 13014.3, "price_tao": 0.006593558, "tao_locked": 5208.5, "alpha_in_pool": 789935.5, "alpha_staked": 1183849.8, "rank": 96, "block": "8154319", "updated_at": "2026-05-10T16:19:40.709Z" }, "sources_reviewed": [ "Discord channel satori-119", "https://www.satorilab.ai (connection refused)", "https://github.com/Satori119/Satori (404)" ], "data_gaps": { "unverified": [ "Security of wallet management code", "Whether centralized task center issues were fully resolved" ], "inaccessible": [ "satorilab.ai (ERR_CONNECTION_REFUSED)", "github.com/Satori119/Satori (404 Not Found)" ], "missing": [ "Independent code audit", "Pricing details", "API documentation" ], "stale": [ "alpha price discussion from Discord (0.0086 TAO mentioned)", "Website https://www.satorilab.ai — connection refused as of 2026-05-02" ] }, "researched_at": "2026-05-01T22:30:00Z", "confidence": "low", "notes": "Highly controversial subnet. Community raised security concerns about wallet management code (Jan 2026 — github.com/Satori119/Satori/commit/222e7a69 flagged). Team responded defensively, calling concerns \"common architecture patterns.\" Feb 2026 update removed centralized task center scoring. Alpha price considered too high given reputation. Miner stake requirement criticized. Website: satorilab.ai (mentioned but not verified).", "assets": { "favicon": "assets/sn119/favicon.png" } }, "sn11_trajectoryrl": { "netuid": 11, "name": "TrajectoryRL", "product": { "tagline": "Open factory for AI agent skills", "category": "Model & Agent Development", "subcategory": "AI Agent Benchmarking", "tags": [ "agents", "reinforcement-learning", "skills", "ai-agents", "open-source", "llm" ], "status": "live", "description": "TrajectoryRL produces open-source AI agent skills through continuous competition. Skills are single markdown files that make AI agents more capable at specific tasks — evaluated by running agents through real sandboxed environments (email, Notion, Slack, Gitea) and scored by LLM judges. All winning skills are free and open-source.", "target_users": [ "AI agent developers needing pre-built skills", "Researchers building and evaluating agent capabilities", "Developers using Claude Code, OpenClaw, or other agent harnesses" ], "use_cases": [ "Use continuously-improving open-source agent skills in any harness", "Benchmark agent capabilities on real stateful environments (email, Notion, Slack, Gitea)", "Build self-learning agents using community-produced skills", "Browse and download top-performing skills from ClawHub" ] }, "pricing": { "model": "open-source", "currency": null, "free_tier": { "available": true, "limits": "Skills are open-source and free to use. Competition participation requires TAO stake." }, "notes": "Skills produced are free and open-source.", "open_source": true }, "access": { "api_available": false, "requires_auth": false, "playground": "https://clawhub.ai" }, "links": { "website": "https://trajrl.com", "github": "https://github.com/trajectoryRL/trajectoryRL", "docs": "https://trajrl.com", "discord": null, "twitter": null, "blog": null, "platform": "https://clawhub.ai" }, "on_chain": { "owner_contact": "trajectoryrl@gmail.com", "logo_url": "https://pbs.twimg.com/profile_images/2018928039716089856/2PZ-Bhm2_400x400.jpg", "additional": "Subnet 11 — Agentic RL as a Service. Optimize agent trajectories to make agents cheaper, safer, and more reliable." }, "data_gaps": { "unverified": [ "389.2K LLM calls and 1.5B tokens processed stat from homepage — unverified date range", "ClawHub skill leaderboard details" ], "inaccessible": [ "No pricing or docs page found — single-page website" ], "missing": [ "Discord/community link", "Twitter/X account", "Detailed documentation for skill format beyond homepage description", "Validator setup instructions" ] }, "researched_at": "2026-05-06T17:00:00Z", "confidence": "medium", "notes": "Season 1 live: Self-Learning Agents. 389.2K LLM calls, 1.5B tokens processed. Skill = single SKILL.md markdown file with frontmatter. Season 1 tasks: MailHog, Notion, Slack, Gitea environments. Graded on final state not descriptions. Harnesses: Claude Code, OpenClaw, Hermes, or any shell-capable agent. Example skill: pskoett/self-improving-agent on ClawHub. Season 1 focuses on self-learning agents. Skills ship as 32KB max markdown files, SHA256-addressed, no GPU required. TrajRL-bench runs stateful sandboxes with MailHog, Notion, Slack, Gitea. Skills are scored on final state of world, not what the agent said. Works with Claude Code, OpenClaw, and other harnesses. Stack: agent harness → TrajRL-bench → TrajectoryRL (SN11) → Bittensor.", "sources_reviewed": [ "https://r.jina.ai/https://trajrl.com/ (homepage, via Jina Reader)", "https://github.com/trajectoryRL/trajectoryRL (GitHub)", "https://bittensor.ai/subnets/11 (on-chain info)", "https://subnetalpha.ai/subnet/trajectoryrl/ (third-party analysis)" ], "assets": { "favicon": "assets/sn11/favicon.png", "favicon_source": "https://trajrl.com/apple-touch-icon.png", "logo": "assets/sn11/logo.jpg", "logo_source": "https://pbs.twimg.com/profile_images/2018928039716089856/2PZ-Bhm2_400x400.jpg" }, "market_data": { "mcap_tao": 48764.2, "price_tao": 0.009824944, "tao_locked": 21910.6, "alpha_in_pool": 2230096, "alpha_staked": 2733212.2, "rank": 26, "block": "8154319", "updated_at": "2026-05-10T16:19:40.710Z" }, "mcap_tao": 62529.1 }, "sn120_affine": { "netuid": 120, "name": "Affine", "product": { "tagline": "Open reinforcement learning for reasoning models", "category": "Decentralized Training", "subcategory": "Reinforcement Learning", "tags": [ "reasoning", "rl", "reinforcement-learning", "llm", "fine-tuning", "benchmark", "agents" ], "status": "live", "description": "Affine is a reinforcement learning platform that produces incrementally improved reasoning models. Models are evaluated across multiple RL environments (DISTILL, GAME, LIVEWEB, MEMORY, NAVWORLD, SWE). The current champion model (Affine-I) demonstrates strong performance across diverse reasoning tasks.", "target_users": [ "ML researchers", "AI model builders", "Reasoning AI developers" ], "use_cases": [ "Training and improving reasoning models via incentivized RL", "Evaluating models across diverse agentic benchmarks", "Competing to improve the Pareto frontier of open reasoning models", "Accessing champion models via Chutes (the network inference network)" ] }, "pricing": { "model": "free", "currency": null, "free_tier": { "available": false, "limits": null }, "tiers": [], "notes": "Free to participate. Models deployed via Chutes." }, "access": { "api_available": true, "api_url": "https://api.affine.io", "api_docs": null, "requires_auth": false, "auth_method": null, "sdk": [ "python" ], "playground": "https://www.affine.io" }, "links": { "website": "https://www.affine.io", "github": "https://github.com/AffineFoundation/affine", "docs": null, "discord": "https://discord.com/invite/3T9X4Yn23e", "twitter": "https://x.com/affine_io", "blog": null }, "on_chain": { "owner_contact": "hello@affine.io", "logo_url": "https://raw.githubusercontent.com/AffineFoundation/affine/main/affine.png", "additional": "Reason Mining — Affine incentivizes miners to submit models to Subnet 64 on Bittensor (Chutes) for load-balanced inference, evaluated on RL environments targeting the Pareto frontier." }, "data_gaps": { "unverified": [ "Chutes inference token pricing for Affine-I champion model" ], "inaccessible": [ "https://www.affine.io/pricing — no pricing page exists", "https://www.affine.io/about — not found", "https://www.affine.io/blog — not found", "https://www.affine.io/docs — not found" ], "missing": [ "No consumer product pricing", "No public API endpoint", "No SDK documentation", "Team/company info not publicly available", "GitHub repository for affine-cortex (referenced but not main repo)" ], "stale": [] }, "sources_reviewed": [ "https://www.affine.io/ (live dashboard)", "https://www.affine.io/research (benchmark results page)", "https://raw.githubusercontent.com/AffineFoundation/affine/main/README.md", "https://discord.com/invite/3T9X4Yn23e", "https://x.com/affine_io", "Discord message archive (ⴷ・ⴷffine・120)" ], "researched_at": "2026-04-27T20:24:41.207Z", "confidence": "high", "notes": "Affine is a pure incentive layer for reasoning model improvement — no consumer product or pricing. The live dashboard at affine.io shows real-time model competition with 248 miners, a current champion (Affine-I), challengers, and cold/terminated models. The benchmark research page shows Affine-I leads Qwen3-32B on 6 of 8 tasks. The mechanism is sybil-proof, decoy-proof, copy-proof, and overfitting-proof per the README. The ecosystem nav shows Affine as part of a stack: Compute (Lium), Serverless (Targon), Inference (Chutes), Storage (Hippius). Discord shows: Active fine-tuning competition. API: api.affine.io (miner stats). Environments: MEMORY, Distil, LiveWeb. Miners deploy via Chutes (chutesai). af get-miner UID for stats. Qwen3-235B used as distillation source. Pareto frontier scoring with 5-7% threshold. Custom Chutes dashboard by alexdrocks for GPU targeting. Community tool: beta testing custom Chutes dashboard.", "assets": { "logo": "assets/sn120/logo.png", "logo_source": "https://raw.githubusercontent.com/AffineFoundation/affine/main/affine.png", "favicon": "assets/sn120/favicon.png", "favicon_source": "https://www.affine.io/apple-touch-icon.png" }, "market_data": { "mcap_tao": 212638.5, "price_tao": 0.065497789, "tao_locked": 83349.6, "alpha_in_pool": 1272556.4, "alpha_staked": 1973941.9, "rank": 5, "block": "8154319", "updated_at": "2026-05-10T16:19:40.713Z" }, "mcap_tao": 221387.4 }, "sn121_sundae_bar": { "netuid": 121, "name": "Sundae Bar", "product": { "tagline": "Generalist AI agent built for real business workflows", "category": "Model & Agent Development", "subcategory": "AI Agent Marketplace", "tags": [ "ai-agent", "generalist-agent", "business-automation", "enterprise", "benchmark" ], "status": "live", "description": "sundae_bar runs generalist AI agent challenges producing agents that execute real business workflows end-to-end. Agents are built on the Letta framework and evaluated on task completion, reasoning, retrieval, tool-use, and memory. Challenge briefs and results published at sundaebar.ai.", "target_users": [ "Enterprise businesses needing AI workflow automation", "AI agent developers", "Businesses seeking generalist AI assistants" ], "use_cases": [ "Access generalist AI agents built for real business workflow automation", "Automate end-to-end business tasks with AI agents (reasoning, retrieval, tool-use)", "Build generalist agents using Letta, LangChain, or other frameworks", "Browse challenge results and agent leaderboards at sundaebar.ai/lab" ] }, "pricing": { "model": "free", "currency": null, "free_tier": { "available": false, "limits": null }, "tiers": [], "notes": "Free to submit agents." }, "access": { "api_available": false, "api_url": null, "api_docs": null, "requires_auth": true, "auth_method": null, "sdk": [], "playground": "https://www.sundaebar.ai/lab" }, "links": { "website": "https://www.sundaebar.ai", "github": "https://github.com/sundae-bar/bittensor-subnet", "docs": null, "discord": null, "twitter": null, "blog": null }, "on_chain": { "owner_contact": "hello@sundaebar.ai", "logo_url": "https://www.sundaebar.ai/apple-icon.png", "additional": "A generalist AI agent designed to execute real business workflows end-to-end." }, "data_gaps": { "unverified": [ "Commercial deployment status and revenue generation" ], "inaccessible": [ "sundaebar.ai not fetched — may contain enterprise product details and pricing" ], "missing": [ "Enterprise pricing", "API documentation", "Discord link", "Twitter account" ], "stale": [ "Last GitHub commit 141 days ago", "Health rated 31/100 (stale)" ] }, "researched_at": "2026-05-01T22:30:00Z", "confidence": "medium", "sources_reviewed": [ "https://bittensor.ai/subnets/121 (via Jina Reader)" ], "notes": "Active and well-organized. SBC8 (Apr 2026) introduces trajectory-based evaluation and memory-focused tasks. Team (stuntertayyay) responsive in Discord. Challenge briefs published at sundaebar.ai/lab/challenge/. Rewards viewable at sundaebar.ai/lab/rewards. Alpha rewards set based on TAO price at challenge creation time. Similarity checking active to prevent copying. Validator costs: ~$3K/month in OpenRouter API costs.", "market_data": { "mcap_tao": 21390.9, "price_tao": 0.006230887, "tao_locked": 7303, "alpha_in_pool": 1172058.9, "alpha_staked": 2260976, "rank": 60, "block": "8154319", "updated_at": "2026-05-10T16:19:40.714Z" }, "assets": { "logo": "assets/sn121/logo.png", "logo_source": "https://www.sundaebar.ai/apple-icon.png", "favicon": "assets/sn121/favicon.png", "favicon_source": "https://www.sundaebar.ai/apple-icon.png?apple-icon.47ba4596.png" }, "mcap_tao": 22134.4 }, "sn122_bitrecs": { "netuid": 122, "name": "Bitrecs", "product": { "tagline": "AI-powered product recommendations for Shopify and WooCommerce", "category": "Model & Agent Development", "subcategory": "Recommendation Engine", "tags": [ "ecommerce", "recommendations", "prompt-tuning", "ai", "shopping", "benchmarks", "chutes" ], "status": "live", "description": "Bitrecs is an AI-powered ecommerce recommendation engine for Shopify and WooCommerce. Queries dozens of major AI models (ChatGPT, Claude, Grok) through a Consensus Engine to deliver intelligent product recommendations. Features include AI recommendation widgets, Add to Cart AI, custom layouts, and native analytics. Available as a Shopify plugin (live) with WooCommerce coming soon.", "target_users": [ "Shopify merchants", "WooCommerce stores", "ecommerce businesses", "AI agent developers" ], "use_cases": [ "eCommerce product recommendation personalization", "Shopping signal-based prompt optimization", "Retail AI model benchmarking", "Decentralized recommendation engine as a service" ] }, "pricing": { "model": "free / from $14.99/month", "currency": "USD", "free_tier": { "available": true, "limits": "Up to 50 orders/month" }, "tiers": [ { "name": "Free", "price": "$0/month", "features": [ "Up to 50 orders/mo", "AI recommendation widget", "Add to cart AI", "Custom layouts", "Analytics", "Standard support" ] }, { "name": "Growth", "price": "$14.99/month", "features": [ "Up to 500 orders/mo", "All features", "Priority support" ] }, { "name": "Pro", "price": "$49/month", "features": [ "Unlimited orders", "All features", "Priority support" ] } ], "notes": "Consumer pricing not publicly disclosed. Live customers confirmed.", "starts_at": "$14.99/month (Growth)" }, "access": { "api_available": true, "api_url": null, "api_docs": null, "requires_auth": false, "auth_method": null, "sdk": [ "shopify-plugin", "woocommerce-widget", "rest-api", "mcp-server" ], "playground": "https://www.bitrecs.ai" }, "links": { "website": "https://www.bitrecs.ai", "github": null, "docs": "https://www.bitrecs.ai/docs/overview", "discord": null, "twitter": null, "blog": null }, "on_chain": { "owner_contact": "dimi2844 (Discord handle)", "logo_url": null, "additional": "Discord channel: ⲅ・bitrecs・122 (ID: 1375509743753236722). Uses CHUTES for inference. Revenue sharing (RS) feature in development. V2 upgrade tested with 100% burn before opening to competition." }, "market_data": { "mcap_tao": 14095.7, "price_tao": 0.004193113, "tao_locked": 4319.9, "alpha_in_pool": 1030226.2, "alpha_staked": 2331400.6, "rank": 92, "block": "8154319", "updated_at": "2026-05-10T16:19:40.714Z" }, "sources_reviewed": [ "Discord channel bitrecs-122" ], "data_gaps": { "unverified": [ "CHUTES integration details", "benchmark dataset composition", "customer identities" ], "inaccessible": [], "missing": [ "website", "github", "technical docs", "API access information" ], "stale": [] }, "researched_at": "2026-05-02T21:10:35Z", "confidence": "high", "notes": "Product well-described by team lead (dimi2844) in Discord. Winner-take-all emission model for daily benchmarks is distinctive. V2 uses CHUTES exclusively for inference (OpenRouter not supported). Revenue sharing (RS) feature upcoming. Team claims live B2B customers. Community skepticism exists about differentiation from existing recommendation tools. No public GitHub or website yet.", "assets": { "favicon": "assets/sn122/favicon.png" } }, "sn123_mantis": { "netuid": 123, "name": "MANTIS", "product": { "tagline": "Prediction and model iteration platform", "category": "Predictive Systems", "subcategory": "Multi-Asset Predictions", "tags": [ "prediction", "model-iteration", "forecasting", "AI", "agents" ], "status": "beta", "description": "MANTIS is a prediction platform with a model iteration tool that accepts API keys and custom data sources for automated model improvement.", "target_users": [ "AI/ML researchers", "Quantitative analysts", "Prediction market users", "Model developers" ], "use_cases": [ "Upload and monetize prediction models", "Automated model iteration via API", "Competitive prediction scoring on the network" ] }, "pricing": { "model": "unknown", "currency": null, "free_tier": { "available": false, "limits": null }, "tiers": [], "notes": "No pricing information found." }, "access": { "api_available": true, "api_url": null, "api_docs": null, "requires_auth": true, "auth_method": "Bittensor hotkey + public URL endpoint", "sdk": [], "playground": null }, "links": { "website": null, "github": null, "docs": null, "discord": null, "twitter": null, "blog": null }, "on_chain": { "owner_contact": "barbarian_alt_account (Discord)", "logo_url": null, "additional": "Channel: 𑀀・mantis・123. Owner Discord user ID: 1212550374595108894. The subnet uses a model iteration tool that accepts API keys and data fetch instructions. Very early stage with minimal community presence." }, "market_data": { "mcap_tao": 13586.3, "price_tao": 0.003973859, "tao_locked": 7028.4, "alpha_in_pool": 1768659.6, "alpha_staked": 1650254, "rank": 94, "block": "8154319", "updated_at": "2026-05-10T16:19:40.714Z" }, "sources_reviewed": [ "Discord channel: 𑀀・mantis・123 (4 messages total)", "Discord content search for MANTIS references" ], "data_gaps": { "unverified": [ "Exact prediction domain (financial? scientific?)", "Model iteration tool specifics", "Scoring mechanism" ], "inaccessible": [ "No public website", "No GitHub repository found" ], "missing": [ "Website", "GitHub", "Whitepaper", "Docs", "Twitter", "Pricing" ], "stale": [] }, "researched_at": "2026-05-01T23:00:00Z", "confidence": "low", "notes": "Discord (Apr 2026): Team (barbarian_alt_account) responsive — helped miner with incentive=0 issue. Model iteration tool confirmed: accepts API keys for custom data sources. Miners upload prediction data to public URLs. Community small but functional. Upgraded from development to beta — miners are actively participating and earning incentives.", "assets": { "favicon": "assets/sn123/favicon.png" } }, "sn124_swarm": { "netuid": 124, "name": "Swarm", "product": { "tagline": "Open benchmark for autonomous drone navigation", "category": "Robotics", "subcategory": "Robot-to-Robot Autonomous Swarm Testing", "tags": [ "drone", "robotics", "autonomous-navigation", "benchmark", "simulation" ], "status": "live", "description": "Swarm is an open benchmark for autonomous drone navigation. Train neural network flight controllers to navigate drones through procedurally generated 3D environments using depth camera and state vectors. Evaluated across 1,000 procedurally generated seeds spanning six environment types.", "target_users": [ "Robotics researchers", "Drone AI developers", "ML engineers working on autonomous navigation" ], "use_cases": [ "Train and benchmark drone flight controllers against standardized environments", "Compete in autonomous navigation challenges across cities, mountains, forests, warehouses, villages, and open terrain", "Develop neural network approaches to depth-based obstacle avoidance" ] }, "pricing": { "model": "open-source", "currency": null, "open_source": true, "free_tier": { "available": true, "limits": "Open participation via GitHub submission" }, "tiers": [], "notes": "Participation is free. No consumer-facing paid product." }, "access": { "api_available": false, "api_url": null, "api_docs": null, "requires_auth": false, "auth_method": null, "sdk": [], "playground": null }, "links": { "website": "https://swarm124.com", "github": "https://github.com/swarm-subnet/swarm", "docs": null, "discord": null, "twitter": null, "blog": null }, "on_chain": { "owner_contact": "admin@swarm124.com", "logo_url": "https://raw.githubusercontent.com/swarm-subnet/swarm/refs/heads/main/swarm/assets/Swarm.png", "additional": null }, "data_gaps": { "unverified": [ "Website URL listed as '#' on bittensor.ai — swarm124.com domain from contact email" ], "inaccessible": [ "swarm124.com website not fetched" ], "missing": [ "Consumer product details", "Documentation", "Discord/Twitter links" ], "stale": [] }, "researched_at": "2026-04-28T20:05:00Z", "confidence": "medium", "sources_reviewed": [ "https://bittensor.ai/subnets/124 (via Jina Reader)" ], "notes": "Research/benchmark subnet rather than a consumer product. MIT licensed. Active development with 107 commits in 30 days. Seeds rotate weekly on Mondays at 16:00 UTC. Docker-isolated evaluation for security. Only 1 active miner currently.", "market_data": { "mcap_tao": 29935, "price_tao": 0.008118019, "tao_locked": 9551.1, "alpha_in_pool": 1176533.1, "alpha_staked": 2510942, "rank": 38, "block": "8154319", "updated_at": "2026-05-10T16:19:40.715Z" }, "assets": { "logo": "assets/sn124/logo.png", "logo_source": "https://raw.githubusercontent.com/swarm-subnet/swarm/refs/heads/main/swarm/assets/Swarm.png", "favicon": "assets/sn124/favicon.png", "favicon_source": "https://swarm124.com/apple-touch-icon.png" }, "mcap_tao": 31470 }, "sn125_8_ball": { "netuid": 125, "name": "8 Ball", "product": { "tagline": "Prediction markets — trade on crypto, politics, sports, and more", "category": "Predictive Systems", "subcategory": "Prediction Markets", "tags": [ "prediction-markets", "CLOB", "orderbook", "conditional-tokens", "sports-betting", "crypto-predictions", "DeFi" ], "status": "live", "description": "8BALL is a prediction market platform with a full Central Limit Order Book (CLOB) system. Trade on outcomes across crypto, politics, sports, and more using conditional tokens (ERC-1155 YES/NO tokens). The VALLEY optimization engine incentivizes tight spreads and deep liquidity. Trade at 8ball125.com.", "target_users": [ "prediction market traders", "market makers", "DeFi users", "sports bettors", "crypto traders", "political forecasters" ], "use_cases": [ "Trading on crypto price outcomes", "Political event prediction markets", "Sports outcome betting", "Market making on decentralized prediction books", "Conditional token liquidity provision" ] }, "pricing": { "model": "token-gated", "currency": "8BALL alpha token", "free_tier": { "available": false, "limits": null }, "tiers": [], "notes": "Permissionless participation. Trade at 8ball125.com. No explicit subscription pricing." }, "access": { "api_available": true, "api_url": "https://8ball125.com", "api_docs": null, "requires_auth": false, "auth_method": null, "sdk": [ "bittensor" ], "playground": "https://8ball125.com" }, "links": { "website": "https://8ball125.com", "github": "https://github.com/Barbariandev", "docs": null, "discord": null, "twitter": null, "blog": null }, "on_chain": { "owner_contact": "5DTzv2rL6YGQjCDNiWQJz2nE23fK1mDccH9eQimgiieyL3C4", "logo_url": "https://github.com/Barbariandev.png?size=200", "additional": "On-chain identity: Brahmi letter Visarga (𑀂). Registered Jan 1, 2026. Owner: 5DTzv2rL...eyL3C4" }, "market_data": { "mcap_tao": 18791.5, "price_tao": 0.005431876, "tao_locked": 7605.2, "alpha_in_pool": 1400106.6, "alpha_staked": 2059377.8, "rank": 73, "block": "8154319", "updated_at": "2026-05-10T16:19:40.716Z" }, "sources_reviewed": [ "https://subnetradar.com/subnet/125", "https://bittensor.ai/subnets/125", "https://8ball125.com" ], "data_gaps": { "unverified": [ "alpha_staked estimated from total supply minus pool", "GitHub org may have public repos under Barbariandev — not verified further" ], "inaccessible": [], "missing": [ "Twitter/X handle", "Discord invite", "Docs URL", "GitHub repo direct link (only org known)" ], "stale": [] }, "researched_at": "2026-04-29T15:50:00.000Z", "confidence": "high", "notes": "Active subnet with 256/256 neurons (64 validators, 192 miners per SubnetRadar). SubnetRadar health: 63/100 Fair. Market cap ~$5M USD. High Vol/MCap ratio (1035%). Website is live and describes the full architecture including CLOB, ConditionalTokens (ERC-1155), and VALLEY reward engine. Registered Jan 1, 2026. Emission rank #33.", "assets": { "logo": "assets/sn125/logo.png", "logo_source": "https://github.com/Barbariandev.png?size=200", "favicon": "assets/sn125/favicon.png" }, "mcap_tao": 19838.6 }, "sn127_astrid": { "netuid": 127, "name": "Astrid", "product": { "tagline": "Trading agent arena — compete for cash prizes", "category": "Finance", "subcategory": "Trading Agent Competition", "tags": [ "DeFi", "TaoFi", "Hyperlane", "Bittensor-EVM", "interchain", "DEX" ], "status": "live", "description": "Astrid Arena is an incentivized trading agent competition where anyone can train a trading agent, put it to battle, and win cash prizes ($7,500/battle, $18,000/showdown). Battles last 2 weeks with agents trading a dummy $10,000 pot. Prizes split 60/30/10%.", "target_users": [ "Quant developers", "AI trading researchers", "Algorithmic traders" ], "use_cases": [ "Compete in trading agent battles for cash prizes ($7,500/battle)", "Develop and test trading algorithms against other agents", "Win showdown prizes ($18,000 every 4th battle)" ] }, "pricing": { "model": "free", "currency": null, "free_tier": { "available": false, "limits": null }, "tiers": [], "notes": "Free to participate. Prize pool: $7,500/battle (60/30/10% split), $18,000/showdown every 4th battle." }, "access": { "api_available": false, "api_url": null, "api_docs": null, "requires_auth": false, "auth_method": null, "sdk": [], "playground": "https://arena.astrid.global" }, "links": { "website": "https://www.astrid.global", "github": null, "docs": null, "discord": null, "twitter": null, "blog": null }, "on_chain": { "owner_contact": null, "logo_url": null, "additional": "Discord channel: 𑀅・asτrid・127. Owner referenced as Discord user 893425183426248724. Previously associated with 'taofu' validator which was phased out during infrastructure switch. Community member alanw6200 asked owner about transition team and Hyperlane technical integration." }, "market_data": { "mcap_tao": 14530, "price_tao": 0.004467253, "tao_locked": 4110.7, "alpha_in_pool": 920174, "alpha_staked": 2332390.4, "rank": 90, "block": "8154319", "updated_at": "2026-05-10T16:19:40.718Z" }, "sources_reviewed": [ "Discord channel: 𑀅・asτrid・127 (2 messages total)", "Discord content search for 'astrid' references" ], "data_gaps": { "unverified": [ "Relationship between Astrid and TaoFi", "Whether subnet is active", "What the actual product is" ], "inaccessible": [ "No public website", "No GitHub", "No docs" ], "missing": [ "Website", "GitHub", "Docs", "Twitter", "Product description", "Pricing" ], "stale": [] }, "researched_at": "2026-05-02T21:10:35Z", "confidence": "high", "notes": "Discord (Apr 2026): Community member contacted Hyperlane directly about extracting tokens from interchain account on Bittensor EVM. Asking about TaoFi transition team. Only 2 messages in the channel — one asking for a transition team, another asking when anything will happen. Subnet appears dormant.", "assets": { "favicon": "assets/sn127/favicon.png" } }, "sn128_byteleap": { "netuid": 128, "name": "ByteLeap", "product": { "tagline": "GPU compute marketplace", "category": "Compute & Infrastructure", "subcategory": "GPU Compute", "tags": [ "gpu", "compute", "workers", "4090", "h100", "distributed", "task-distribution" ], "status": "live", "description": "ByteLeap is a GPU rental marketplace. Renters access GPU compute (H200, RTX 4090+) via the ByteLeap platform with a dashboard for worker status, lease info, and performance monitoring.", "target_users": [ "AI developers needing GPU compute", "ML teams running training and inference workloads", "Startups seeking affordable GPU cloud" ], "use_cases": [ "Rent GPUs on-demand (RTX 3090 from $0.26/hr to B200 at $2.80/hr)", "Run AI training and inference workloads on bare metal or VM instances", "Access H100, A100, RTX 4090, and B200 GPUs via a unified platform" ] }, "pricing": { "model": "usage-based", "currency": "USD", "free_tier": { "available": false, "limits": null }, "tiers": [ { "name": "RTX 3090 VM", "price": "$0.26/hr/GPU", "features": [ "24GB VRAM", "128G DDR4", "Cost-effective AI development" ] }, { "name": "RTX 3090 Bare Metal", "price": "$1.20/hr", "features": [ "8x GPU", "Full hardware control", "No virtualization overhead" ] }, { "name": "RTX 4090 VM", "price": "$0.36/hr/GPU", "features": [ "Next-gen GPU", "GPU passthrough" ] }, { "name": "RTX 4090 Bare Metal", "price": "$1.80/hr", "features": [ "8x GPU", "Full hardware control" ] }, { "name": "A100 VM", "price": "$0.48/hr/GPU", "features": [ "80GB HBM2e", "Maximum AI performance" ] }, { "name": "A100 Bare Metal", "price": "$2.20/hr", "features": [ "8x GPU", "Premium CPUs" ] }, { "name": "A6000 VM", "price": "$1.78/hr/GPU", "features": [ "Professional workstation GPU" ] }, { "name": "H100 VM", "price": "$1.38/hr/GPU", "features": [ "HGX H100 SXM5", "80GB" ] }, { "name": "H100 Bare Metal", "price": "$12.80/hr", "features": [ "8x H100 SXM5 80GB" ] }, { "name": "B200 VM", "price": "$2.80/hr/GPU", "features": [ "Next-gen Blackwell GPU" ] } ], "notes": "GPU cloud computing. Bare metal and VM options. RTX 3090 from $0.26/hr, H100 from $1.38/hr, B200 from $2.80/hr." }, "access": { "api_available": true, "api_url": null, "api_docs": "https://doc.byteleap.ai", "requires_auth": true, "auth_method": "Account signup", "sdk": [], "playground": null }, "links": { "website": "https://byteleap.ai", "github": "https://github.com/byteleapai/byteleap-Validator", "docs": "https://doc.byteleap.ai", "discord": null, "twitter": null, "blog": null }, "on_chain": { "owner_contact": "byteleap (Discord handle), owner128 (on-chain UID 0)", "logo_url": null, "additional": "Discord channel: න・byteleap・128 (ID: 1387438124132733110). Validator UID: 221. Website and leaderboard under development. Community miner noted GitHub repo: heracules1020." }, "market_data": { "mcap_tao": 13679.1, "price_tao": 0.004070005, "tao_locked": 4483.8, "alpha_in_pool": 1101676.1, "alpha_staked": 2259278.1, "rank": 93, "block": "8154319", "updated_at": "2026-05-10T16:19:40.718Z" }, "sources_reviewed": [ "Discord channel byteleap-128" ], "data_gaps": { "unverified": [ "exact task types performed by workers", "scoring algorithm details", "website URL when launched" ], "inaccessible": [], "missing": [ "GPU rental pricing", "Available machine types", "Stability test timeline" ], "stale": [] }, "researched_at": "2026-05-01T22:30:00Z", "confidence": "medium", "notes": "Discord shows active but immature platform. Community reports: no OS images available for renting (Dec 2025), stability test delays, worker connection errors. Team (byteleap) released v0.0.6 validator with emission limits and score calculations. Worker repo: github.com/byteleapai/byteleap-Worker. \"Relatively strict network strategy\" currently — will be optimized after full launch. H200 GPUs supported.", "assets": { "favicon": "assets/sn128/favicon.png" } }, "sn12_compute_horde": { "netuid": 12, "name": "Compute Horde", "product": { "tagline": "Scalable and trusted GPU computing power", "category": "Compute & Infrastructure", "subcategory": "GPU Compute Marketplace", "tags": [ "gpu", "compute", "decentralized", "validators", "organic-jobs", "a6000", "a100", "sdk", "docker" ], "status": "live", "description": "ComputeHorde provides trusted GPU compute resources for running dockerized workloads. Submit compute jobs via the Python SDK for batch processing, AI training, and inference tasks. Compute is verified and trust-scored to ensure reliable results.", "target_users": [ "Developers needing GPU compute for ML workloads", "AI teams running batch training and inference jobs", "Projects wanting to reduce dependency on centralized cloud (AWS, RunPod)" ], "use_cases": [ "Run dockerized ML jobs on a decentralized GPU pool (A6000, A100)", "Submit batch compute jobs via the Python SDK", "Access trusted, verified GPU compute at competitive rates (~$0.70/hr for A6000)", "Integrate decentralized compute into existing workflows via SkyPilot SDK fallback" ] }, "pricing": { "model": "~$0.70/hr (A6000)", "currency": "TAO", "starts_at": "~$0.70/hr (A6000 GPU)", "notes": "Compute-time is allocated in blocks proportional to workload. Target pricing is competitive with major cloud providers.", "tiers": [ { "name": "Stake-Proportional Compute", "price": "~$0.70/hr (A6000)", "features": [ "Compute allowance proportional to validator stake weight", "Per-block rolling allowance top-ups", "A6000 GPU hardware class (A100 coming)", "Cross-validation support via trusted miners", "Collateral-based miner trust with slashing", "Fallback to RunPod/cloud via SkyPilot SDK" ] } ], "free_tier": { "available": false } }, "access": { "api_available": true, "api_url": "https://sdk.computehorde.io/", "api_docs": "https://sdk.computehorde.io/master/", "requires_auth": true, "auth_method": "wallet", "sdk": [ "python" ], "playground": null }, "company": { "name": "Backend Developers Ltd (Reef)", "careers": "https://careers.reef.pl" }, "links": { "website": "https://computehorde.io", "github": "https://github.com/backend-developers-ltd/ComputeHorde", "docs": "https://sdk.computehorde.io/master/", "discord": "https://discordapp.com/channels/799672011265015819/1201941624243109888", "twitter": null, "blog": null, "grafana": "https://grafana.bactensor.io/d/subnet/metagraph-subnet?var-subnet=12", "collateral_contracts": "https://github.com/bactensor/collateral-contracts", "ddos_shield": "https://github.com/bactensor/bt-ddos-shield", "yuma_simulator": "https://yuma-simulator.bactensor.io" }, "on_chain": { "owner_contact": null, "logo_url": null, "additional": "ComputeHorde mainnet netuid: 12. Testnet netuid: 174. Registered March 31, 2025. Greek letter Mu (μ). Owner: 5ELzhHvg...S96PCp." }, "data_gaps": { "unverified": [ "Current GPU pricing may have changed since Oct 2025 target of ~$0.70/hr", "Number of active miners and total GPU capacity over time" ], "inaccessible": [ "Grafana organic jobs dashboard requires authentication" ], "missing": [ "Twitter/X account", "Exact current USD/hr rate (depends on alpha/TAO price fluctuations)" ] }, "researched_at": "2026-05-06T17:00:00Z", "confidence": "high", "notes": "Only 6 active miners as of Apr 27 2026 despite 256 slots — reflects high hardware requirements (A6000 GPUs). GitHub: backend-developers-ltd/ComputeHorde. Commit-Reveal + Executor Dancing anti-weight-copy mechanisms. Collateral smart contracts for organic job trust. DDoS shield optional add-on for miners. Python SDK for easy integration. Parent company: Reef (careers.reef.pl). Team lead: rhef; core eng: mateusz.srebrny; comms: piotrg8691. Burned 640K alpha tokens ($1.28M) in Sep 2025 to protect price during low-demand phase. SN17 and at least one commercial client using CH for production workloads as of Oct 2025. Also building Nexus (Apr 2026) — AI-powered subnet creation tool.", "sources_reviewed": [ "https://github.com/backend-developers-ltd/ComputeHorde (GitHub, via Jina Reader)", "https://bittensor.ai/subnets/12 (on-chain data)", "https://computehorde.io (website, via Jina Reader — also re-crawled Apr 2026, confirmed live)", "https://sdk.computehorde.io/master/ (SDK docs, via Jina Reader — re-crawled Apr 2026, confirmed Python SDK, requires ComputeHorde validator hotkey, handles cross-validation)", "Discord channel µ・horde・12 (8964 messages, AlloyDB search)" ], "market_data": { "mcap_tao": 34905.1, "price_tao": 0.006616628, "tao_locked": 14894.8, "alpha_in_pool": 2251121.5, "alpha_staked": 3024235.4, "rank": 34, "block": "8154319", "updated_at": "2026-05-10T16:19:40.719Z" }, "assets": { "favicon": "assets/sn12/favicon.png", "favicon_source": "https://cdn.prod.website-files.com/67643b140999a371ed1bdcd9/6784e2d5459d86a16f144675_ComputeHorde%20-%20logo%20ma%C5%82a%20ikonka.png" }, "mcap_tao": 35154.2 }, "sn13_data_universe": { "netuid": 13, "name": "Data Universe", "product": { "tagline": "Large-scale social media data for AI and analytics", "category": "Data Pipeline", "subcategory": "Decentralized Data Intelligence", "tags": [ "data", "scraping", "social-media", "twitter", "reddit", "youtube", "datasets" ], "status": "live", "description": "Data Universe collects, stores, and validates large-scale social media data from X (Twitter), Reddit, and YouTube transcripts. Over 55 billion rows scraped with 80 million new rows added daily. Access data through the Gravity platform and API, Nebula (AI-assisted research dashboard), or the Desearch search engine. Free $5 usage credit on signup.", "target_users": [ "AI/ML teams needing fresh social media training data", "Researchers studying social media trends", "Data consumers building NLP or analytics applications", "decentralized network needing fresh external data" ], "use_cases": [ "Access continuously updated X/Twitter, Reddit, and YouTube datasets", "Train LLMs and NLP models on fresh social media content", "Monitor topics and trends across social platforms", "Build sentiment analysis and market intelligence tools" ] }, "pricing": { "model": "free / from $99/month", "currency": "USD", "free_tier": { "available": true, "limits": "$5 free usage credit on signup, pay-as-you-go thereafter" }, "tiers": [ { "name": "Pay As You Go", "price": "No monthly fee", "features": [ "$5 free usage credit", "$0.05 / 1K records in app", "$0.10 / 1K records via API" ] }, { "name": "Astronaut", "price": "$99/month", "features": [ "300K records monthly credit", "$0.04 / 1K records in app", "$0.08 / 1K records via API" ] }, { "name": "Cosmonaut", "price": "$499/month", "features": [ "4M records monthly credit", "$0.02 / 1K records in app", "$0.05 / 1K records via API" ] } ], "notes": "Pricing confirmed from macrocosmos.ai/gravity. Free $5 usage credit on signup. Products: Gravity (scraper/search), Nebula (AI dashboard), Desearch (search engine)." }, "access": { "api_available": true, "api_url": "https://www.macrocosmos.ai/gravity", "api_docs": "https://docs.macrocosmos.ai/developers/api-documentation/sn13-data-universe", "requires_auth": true, "auth_method": "api-key", "sdk": [ "python" ], "playground": "https://www.macrocosmos.ai/gravity" }, "links": { "website": "https://www.macrocosmos.ai/gravity", "github": "https://github.com/macrocosm-os/data-universe", "docs": "https://github.com/macrocosm-os/data-universe", "discord": "https://discord.gg/bittensor", "twitter": "https://x.com/macrocosmosai", "blog": "https://macrocosmosai.substack.com" }, "on_chain": { "owner_contact": "support@macrocosmos.ai", "logo_url": "https://www.macrocosmos.ai/images/mc_logo_black.png", "additional": "Scraping the world's social media data. Operated by Macrocosmos." }, "data_gaps": { "unverified": [], "inaccessible": [], "missing": [] }, "researched_at": "2026-05-06T17:00:00Z", "confidence": "medium", "notes": "Registered Oct 8, 2024. Operated by Macrocosmos (same team as Apex/SN1). Very active: 40 commits/30d, last commit 6 days ago, v1.18.52. 240 active miners. 11 contributors. Data source weights: Reddit 55%, X 35%, YouTube 10%. Credibility score uses exponential weighting (α=0.15). Data freshness linear deprecation over 30 days. Both synthetic (benchmark) and organic (on-demand) queries. Optional S3 upload for public dataset access. TVL $12M, 24h volume $238M. Discord (ν・daτaverse・13) shows active mining community. On-Demand scoring overhaul in v1.18.4. Miners scrape X and Reddit data. Reddit OAuth gives 10x scraping speed advantage. Gravity API for data access. 161 UIDs getting incentive under new scoring rules.", "sources_reviewed": [ "https://bittensor.ai/subnets/13 (on-chain data and auto-generated description)", "https://github.com/macrocosm-os/data-universe (GitHub)", "Discord message archive (ν・daτaverse・13)", "https://www.macrocosmos.ai/gravity (product page — pricing, features crawled Apr 2026)" ], "assets": { "logo": "assets/sn13/logo.png", "logo_source": "https://r2.bittensor.ai/chain-logos/13/cdd91d5187e21afffe49cf492bbbcff1c0859bc9e8d838e703dee57a832ab143.png", "favicon": "assets/sn13/favicon.ico", "favicon_source": "https://datauniverse.macrocosmos.ai/favicon.ico" }, "market_data": { "mcap_tao": 39644.5, "price_tao": 0.007785503, "tao_locked": 23313.8, "alpha_in_pool": 2994517.8, "alpha_staked": 2097580.5, "rank": 30, "block": "8154319", "updated_at": "2026-05-10T16:19:40.720Z" }, "mcap_tao": 40565 }, "sn14_taohash": { "netuid": 14, "name": "TAOHash", "product": { "tagline": "Collective Bitcoin mining pool with direct BTC payouts", "category": "Compute & Infrastructure", "subcategory": "Bitcoin Mining and Hashrate Infrastructure", "tags": [ "bitcoin", "mining", "proof-of-work", "hashrate", "stratum", "depin" ], "status": "live", "description": "TAOHash is a collective Bitcoin and Bitcoin Cash mining pool. Connect via the standard Stratum protocol and earn direct BTC/BCH payouts through the TIDES protocol — no registration required for basic payouts.", "target_users": [ "Bitcoin/BCH miners looking for a decentralized mining pool", "Bitcoin miners and pool participants", "Individual miners seeking permissionless, no-KYC pool access" ], "use_cases": [ "Earn BTC/BCH directly via TIDES protocol while contributing hashrate", "Participate in a decentralized Bitcoin mining pool — no registration required", "Connect via standard Stratum protocol with any compatible mining hardware", "Access a permissionless mining pool with no KYC and public telemetry APIs" ] }, "pricing": { "model": "free", "currency": "BTC", "notes": "No subscription fee. Connect via Stratum protocol. TIDES protocol pays BTC/BCH directly proportional to hashrate contributed." }, "access": { "api_available": true, "api_url": "https://taohash.com/leaderboard", "api_docs": "https://github.com/latent-to/taohash", "requires_auth": false, "auth_method": "none", "sdk": [] }, "links": { "website": "https://taohash.com", "github": "https://github.com/latent-to/taohash", "docs": "https://taohash.com/roadmap", "discord": "https://discord.gg/wCvqvKJR7P", "twitter": null, "blog": null }, "on_chain": { "owner_contact": "taohash@latent.to", "logo_url": "https://v2-dev.taohash.ai/assets/taohash_logo-4f75d956.png", "additional": "TAOHash is a Subnet for decentralizing PoW mining hashrate-rental and financialization. Validators incentivize miners to pool hashrate with them, rewarding them with Alpha based on the value of that hashrate." }, "data_gaps": { "unverified": [ "Stratum endpoint URLs for BTC and BCH pool proxies", "Current pool hashrate and mining performance stats" ], "inaccessible": [], "missing": [ "Discord or Twitter links", "Pool URL and connection instructions (separate BTC/BCH endpoints)" ] }, "researched_at": "2026-05-06T17:00:00Z", "confidence": "high", "notes": "Unique subnet: bridges PoW Bitcoin mining to Bittensor's dTAO ecosystem. 256/256 miners competitive slots. GitHub last commit 131 days ago (Dec 2025 approx). Docker+Watchtower for automated validator updates. TIDES (Time-based Incentive Distribution with Epoch Scoring) protocol uses sliding window equal to network_difficulty × 8. Market cap $6M, TVL $11.9M, 24h volume $617M as of Apr 26 2026. Website: taohash.com. Features: permissionless access (no KYC), public APIs for pool telemetry, miner leaderboard. Roadmap includes hashrate marketplace (rent hashrate with BTC/USDC/TAO).", "sources_reviewed": [ "https://bittensor.ai/subnets/14 (on-chain data and auto-generated description)", "https://github.com/latent-to/taohash (GitHub)", "https://taohash.com (website)", "GitHub README (taohash.com links)", "https://taohash.com (website re-crawled Apr 2026 — confirmed live: Hashrate Marketplace coming soon (permissionless, no KYC, BTC/USDC/TAO), public APIs for pool telemetry, no new links found)" ], "assets": { "logo": "assets/sn14/logo.png", "logo_source": "https://r2.bittensor.ai/chain-logos/14/4f75d956d5e70b3340fdc7471483eed382b78c2ab5dae65ffccf231d3ef4d2e1.png", "favicon": "assets/sn14/favicon.png", "favicon_source": "https://taohash.com/logo_inverted.png" }, "market_data": { "mcap_tao": 48939.2, "price_tao": 0.009605028, "tao_locked": 24404.1, "alpha_in_pool": 2540768, "alpha_staked": 2554401.9, "rank": 25, "block": "8154319", "updated_at": "2026-05-10T16:19:40.722Z" }, "mcap_tao": 45971.3 }, "sn15_oro": { "netuid": 15, "name": "ORO", "product": { "tagline": "AI shopping agents for e-commerce", "category": "Model & Agent Development", "subcategory": "AI Shopping Agents", "tags": [ "e-commerce", "shopping-agent", "ai-agent", "benchmark", "product-search" ], "status": "live", "description": "ORO evaluates AI shopping agents on real-world e-commerce tasks. Agents search products, compare prices, and make purchase decisions across 2.5 million real products from live e-commerce platforms. A local testing harness is available for free.", "target_users": [ "AI agent developers", "E-commerce AI researchers", "Commerce platform builders", "Academic researchers in AI agents" ], "use_cases": [ "Benchmark shopping agents against 2.5M real products from live e-commerce", "Test product discovery, price comparison, and voucher logic capabilities", "Compete for TAO rewards with high-performing shopping agents", "Evaluate agent reasoning on real product data without building proprietary infrastructure" ] }, "pricing": { "model": "open-source", "currency": null, "open_source": true, "free_tier": { "available": true, "limits": "Free to participate as a miner — submit agents and earn based on performance" }, "tiers": [], "notes": "No consumer-facing paid product. Local testing harness available for free." }, "access": { "api_available": false, "api_url": null, "api_docs": null, "requires_auth": false, "auth_method": null, "sdk": [ "python" ], "playground": null }, "links": { "website": "https://oroagents.com", "github": "https://github.com/ORO-AI/oro", "docs": null, "discord": "https://discord.gg/MHqAVWTdka", "twitter": null, "blog": null }, "on_chain": { "owner_contact": "team@oroagents.com", "logo_url": "https://raw.githubusercontent.com/ORO-AI/oro/main/brand/profile-snowcap.png", "additional": "AI commerce agents" }, "data_gaps": { "unverified": [], "inaccessible": [ "oroagents.com not fetched — may contain additional product details" ], "missing": [ "Consumer-facing product or API", "Twitter account", "Detailed documentation URL" ], "stale": [] }, "researched_at": "2026-04-28T20:07:00Z", "confidence": "medium", "sources_reviewed": [ "https://bittensor.ai/subnets/15 (via Jina Reader)" ], "notes": "Highest network share at 59.95% (#1 ranked). Token price $8.12 — highest among researched subnets. Registered Feb 2026 — relatively new but dominant. ShoppingBench uses 2.5M real products. Docker-sandboxed evaluation. Uses a decaying score threshold to prevent trivial improvements from displacing leaders. Only 1 active miner despite dominant position.", "market_data": { "mcap_tao": 35394.4, "price_tao": 0.039815025, "tao_locked": 5775.6, "alpha_in_pool": 145061.2, "alpha_staked": 743910.1, "rank": 33, "block": "8154319", "updated_at": "2026-05-10T16:19:40.723Z" }, "assets": { "logo": "assets/sn15/logo.png", "logo_source": "https://raw.githubusercontent.com/ORO-AI/oro/main/brand/profile-snowcap.png", "favicon": "assets/sn15/favicon.png", "favicon_source": "https://oroagents.com/apple-icon.png?apple-icon.03kgs0ex356h..png" }, "mcap_tao": 26494.7 }, "sn16_bitads": { "netuid": 16, "name": "BitAds", "product": { "tagline": "Performance-based digital marketing — pay only for verified sales", "category": "Data Pipeline", "subcategory": "Performance Marketing", "tags": [ "advertising", "marketing", "proof-of-sale", "affiliate", "performance-marketing" ], "status": "live", "description": "BitAds is a performance-based marketing platform where advertisers pay only for verified sales, not impressions or clicks. Proof-of-sale verification ensures marketing spend converts to actual revenue.", "target_users": [ "E-commerce merchants", "Affiliate marketers", "Performance marketing teams", "Digital advertisers" ], "use_cases": [ "Run performance-based marketing campaigns with verified sales tracking", "Earn as a operator by driving verified sales for merchants", "Stake ALPHA to own marketing bandwidth as a merchandiser", "Access decentralized proof-of-sale attribution for campaigns" ] }, "pricing": { "model": "token-gated", "currency": "alpha", "free_tier": { "available": false, "limits": null }, "tiers": [], "notes": "Advertisers pay for marketing bandwidth. Performance is measured by verified sales revenue." }, "access": { "api_available": false, "api_url": null, "api_docs": null, "requires_auth": true, "auth_method": "wallet", "sdk": [], "playground": "https://bitads.ai/" }, "links": { "website": "https://bitads.ai", "github": "https://github.com/FirstTensorLabs/BitAds", "docs": null, "discord": "https://discord.gg/qasY3HA9F9", "twitter": "https://x.com/bitads_ai", "blog": null }, "on_chain": { "owner_contact": null, "logo_url": "https://raw.githubusercontent.com/FirstTensorLabs/BitAds-Assets/refs/heads/main/Logo-white-green-black.png", "additional": "https://x.com/bitads_ai" }, "data_gaps": { "unverified": [ "Actual merchant adoption and campaign volume" ], "inaccessible": [ "bitads.ai not fetched — may have product details and merchant onboarding" ], "missing": [ "Merchant pricing details", "Campaign setup documentation", "API documentation" ], "stale": [ "Last GitHub commit 70 days ago" ] }, "researched_at": "2026-04-28T20:10:00Z", "confidence": "medium", "sources_reviewed": [ "https://bittensor.ai/subnets/16 (via Jina Reader)" ], "notes": "Unique proof-of-sale model — rewards actual sales rather than clicks/impressions. Uses dual mechanism setup (2 mechanisms, 100%/0% split). Health rated 35/100 (stale). 0 active miners at time of research. Scoring uses P95 percentiles with refund rate penalty. Built by First Tensor Labs.", "market_data": { "mcap_tao": 22862.3, "price_tao": 0.004665078, "tao_locked": 8506.6, "alpha_in_pool": 1823462.9, "alpha_staked": 3077273.5, "rank": 53, "block": "8154319", "updated_at": "2026-05-10T16:19:40.724Z" }, "assets": { "logo": "assets/sn16/logo.png", "logo_source": "https://raw.githubusercontent.com/FirstTensorLabs/BitAds-Assets/refs/heads/main/Logo-white-green-black.png", "favicon": "assets/sn16/favicon.png", "favicon_source": "https://bitads.ai/favicon/apple-touch-icon.png" }, "mcap_tao": 22482.5 }, "sn17_404-gen": { "netuid": 17, "name": "404-GEN", "product": { "tagline": "AI-powered 3D model generation", "category": "Model & Agent Development", "subcategory": "3D Model Generation", "tags": [ "3d-generation", "text-to-3d", "ai-art", "open-source", "competition" ], "status": "beta", "description": "404—GEN produces open-source AI models for 3D asset generation. Models and weights are published on HuggingFace under the 404-Gen organization, free to download and use.", "target_users": [ "3D artists", "game developers", "metaverse builders", "AI content creators" ], "use_cases": [ "Generate 3D assets from text prompts", "Access open-weight 3D generation models", "Contribute to decentralized 3D AI research", "Integrate AI 3D generation into creative workflows" ] }, "pricing": { "model": "open-source", "currency": null, "free_tier": { "available": true, "limits": "Open-weight models available on HuggingFace at no cost" }, "tiers": [], "notes": "Model weights are published as open-source on HuggingFace. No paid API product.", "open_source": true }, "access": { "api_available": false, "api_url": null, "api_docs": null, "requires_auth": false, "auth_method": null, "sdk": [], "playground": null }, "links": { "website": "https://www.404.xyz", "github": "https://github.com/404-Repo/404-gen-subnet", "docs": null, "discord": null, "twitter": "https://x.com/404gen_", "blog": null }, "on_chain": { "owner_contact": "404@404.xyz", "logo_url": "https://avatars.githubusercontent.com/u/154099142?s=200&v=4", "additional": "" }, "data_gaps": { "unverified": [], "inaccessible": [], "missing": [ "Discord link", "Pricing or API access", "On-chain identity contact", "Documentation URL" ], "stale": [] }, "researched_at": "2026-05-06T17:00:00Z", "confidence": "medium", "sources_reviewed": [ "https://icm-analytics.com/bittensor/subnets/17/", "https://github.com/404-Repo/404-gen-subnet", "https://huggingface.co/404-Gen", "https://bittensor.ai/subnets/17", "https://subnetalpha.ai/subnet/gen404/", "https://www.404.xyz (website crawled Apr 2026 — confirmed live, found app/catalog/plugin pages, Instagram: instagram.com/404gen/)" ], "notes": "Only 1 active miner as of April 2026 — the competition system is effectively non-operational. Despite this, market cap is ~$17M. The HuggingFace org (404-Gen) hosts models produced by the subnet. Twitter handle @404gen_ is active. ICM gives it 29/100 (D rating). Repo has 6 contributors and does conduct code review (avg 1.0 reviews/PR).", "assets": { "logo": "assets/sn17/logo.png", "logo_source": "https://pbs.twimg.com/profile_images/1890536176441794560/_dVN7V_J_400x400.png", "favicon": "assets/sn17/favicon.png", "favicon_source": "https://cdn.sanity.io/images/foig6s3k/production/9b768f356792c7a5994d7e80621f7ec2fc9e41e2-32x32.png" }, "market_data": { "mcap_tao": 64210.4, "price_tao": 0.012953691, "tao_locked": 29729.4, "alpha_in_pool": 2295054.8, "alpha_staked": 2661867.3, "rank": 16, "block": "8154319", "updated_at": "2026-05-10T16:19:40.726Z" }, "mcap_tao": 78336.7 }, "sn18_zeus": { "netuid": 18, "name": "Zeus", "product": { "tagline": "AI weather forecasting beyond state-of-the-art", "category": "Science", "subcategory": "Foundational Research", "tags": [ "weather", "forecasting", "climate", "era5", "environmental", "ai-forecasting" ], "status": "live", "description": "Zeus is an AI weather forecasting system that predicts environmental conditions at 0.25° resolution (721×1440 grid covering the full Earth) across 49-hour and 15-day time horizons. Forecasts are scored against ERA5 reanalysis ground truth data using RMSE/MAE metrics.", "target_users": [ "Climate and weather researchers", "ML researchers advancing foundation weather models", "Organizations needing long-range weather forecasts", "operators with expertise in atmospheric modeling" ], "use_cases": [ "Generate AI-based 15-day weather forecasts for any location globally", "Access globally distributed ensemble weather predictions", "Benchmark weather forecasting models against ERA5 ground truth", "Contribute to state-of-the-art weather forecasting research", "Energy market forecasting and edge signal generation (Arctic product)" ] }, "pricing": { "model": "unknown", "currency": null, "notes": "Weather forecast data may be accessible via zeussubnet.com or API. No consumer pricing page found publicly." }, "access": { "api_available": null, "api_url": null, "api_docs": null, "requires_auth": null, "sdk": [ "python" ] }, "links": { "website": "https://www.zeussubnet.com", "github": "https://github.com/Orpheus-AI/Zeus", "docs": "https://github.com/Orpheus-AI/Zeus", "whitepaper": "https://www.zeussubnet.com/news-and-updates/Zeus_whitepaper_v0_1.pdf", "discord": "wouter_orpheusai", "twitter": null, "blog": null }, "on_chain": { "owner_contact": null, "logo_url": "https://raw.githubusercontent.com/Orpheus-AI/Zeus/refs/heads/main/static/zeus-icon.png", "additional": "0x506f776572656420627920c398727068657573204149" }, "data_gaps": { "unverified": [ "Whether zeussubnet.com offers public API for forecast data consumption", "Consumer pricing for weather forecast data" ], "inaccessible": [], "missing": [ "Consumer API pricing", "Discord server link", "Twitter/X account for Zeus/Ørpheus AI" ] }, "researched_at": "2026-05-06T17:00:00Z", "confidence": "medium", "notes": "New product added: 'Arctic' — a data layer designed for energy market edge, separate from the Zeus forecasting subnet. Website now positions Zeus as delivering 'actionable insights for energy markets.' Research papers published: ICML 2025 poster (Gridded Transformer Neural Processes), Precipitation Analysis Report, Wind/Dewpoint Analysis Report. Registered Aug 9, 2024. Operated by Ørpheus AI. GitHub: Orpheus-AI/Zeus (Python, MIT). Very active: 4 commits/30d, last commit 2 days ago, v2.0.3. 6 contributors. ERA5 data from Copernicus CDS. Variables cover multiple atmospheric variables. Short-range (49h) and long-range (361h) horizons scored separately. Scoring delayed 7+ days for ground truth availability. Latitude weighting for fair geographic evaluation. 15 active miners. Registration burn very high ($250.80) but only 15 miners. Discord (σ・zeus・18): Dashboard is next priority after vali code/API stabilization. Zeus v2.0.2 released with priority for Germany, collusion detection, improved reward structure, decreased burn rate to 70%. Active pilot with at least one client. Team: Egill from Orpheus AI. Company rebranded to Orpheus AI. Zeus is the data layer product (edge over consensus). Arctic is the actionable insights product for energy markets. Focus: predictive environmental data for energy markets.", "sources_reviewed": [ "https://bittensor.ai/subnets/18 (on-chain data and auto-generated description)", "https://github.com/Orpheus-AI/Zeus (GitHub)", "Discord message archive (σ・zeus・18)", "https://www.zeussubnet.com (website crawled Apr 2026 — confirmed: Orpheus AI, products: Arctic data layer + Zeus forecasting, whitepaper/reports available)" ], "assets": { "logo": "assets/sn18/logo.png", "logo_source": "https://r2.bittensor.ai/chain-logos/18/2f7e3d4c6702f993f1f92a2ddc3033c822a0ba11f13f65b27a3c7b7b2e651e39.png", "favicon": "assets/sn18/favicon.ico", "favicon_source": "https://www.zeussubnet.com/favicon.ico?favicon.0x3dzn~oxb6tn.ico" }, "market_data": { "mcap_tao": 28510.6, "price_tao": 0.006016723, "tao_locked": 11779.7, "alpha_in_pool": 1957832.5, "alpha_staked": 2780730.5, "rank": 43, "block": "8154319", "updated_at": "2026-05-10T16:19:40.729Z" }, "mcap_tao": 31786.7 }, "sn19_blockmachine": { "netuid": 19, "name": "Blockmachine", "product": { "tagline": "Fast, correct, verifiable blockchain RPC infrastructure", "category": "Compute & Infrastructure", "subcategory": "Cloud Infrastructure", "tags": [ "rpc", "archive-node", "blockchain-infrastructure", "decentralized", "web3", "verification" ], "status": "live", "description": "blockmachine provides blockchain RPC and archive node infrastructure with independently verified responses. Every response is checked against reference nodes, failed requests are never charged, and live performance dashboards are public. Supports USDC payments with annual plans available at 17% discount.", "target_users": [ "Web3 developers", "dApp builders", "blockchain protocols", "AI agents requiring chain data" ], "use_cases": [ "Reliable RPC access to multiple blockchains", "Archive node queries for historical chain data", "AI agent blockchain data access", "Replace centralized RPC providers with verifiable decentralized alternative" ] }, "pricing": { "model": "free / from $9/month", "currency": "USDC", "free_tier": { "available": true, "limits": "10K request units/month, 5 RU/min, 1 API key" }, "tiers": [ { "name": "Free", "price": "$0/month", "features": [ "10K request units/month", "5 RU/min", "1 API key", "USDC payments", "Trace API" ] }, { "name": "Standard", "price": "$9/month", "features": [ "5M request units/month", "1,000 RU/min", "1 API key", "Archive node access", "Usage dashboard", "Additional RUs $5/1M" ] }, { "name": "Pro", "price": "$25/month", "features": [ "20M request units/month", "12,000 RU/min", "3 API keys", "Archive node access", "Usage dashboard", "Additional RUs $3/1M" ] }, { "name": "Business", "price": "$125/month", "features": [ "100M request units/month", "30,000 RU/min", "5 API keys", "Archive node access", "Usage dashboard", "Additional RUs $2/1M" ] }, { "name": "Enterprise", "price": "$999/month", "features": [ "1B request units/month", "250,000 RU/min", "10 API keys", "Archive node access", "Usage dashboard", "Additional RUs $1/1M" ] } ], "notes": "USDC payments only. Annual plans available with 17% discount. Failed requests are not charged. Pricing confirmed from blockmachine.io/pricing.", "starts_at": "$9/month (Standard)" }, "access": { "api_available": true, "api_url": "https://rpc.blockmachine.io", "api_url_ws": "wss://rpc.blockmachine.io", "api_docs": "https://blockmachine.io/docs/integrate-rpc", "api_docs_md": "https://blockmachine.io/docs/integrate-rpc.md", "llm_reference": "https://blockmachine.io/llm.txt", "requires_auth": true, "auth_method": "api-key", "sdk": [], "playground": "https://blockmachine.io/performance" }, "links": { "website": "https://blockmachine.io", "github": "https://github.com/taostat/blockmachine", "docs": "https://blockmachine.io/docs/ai-agents", "discord": null, "twitter": "https://x.com/blockmachine_io", "blog": null }, "on_chain": { "owner_contact": "team@blockmachine.io", "logo_url": "https://blockmachine.io/logo.svg", "additional": "" }, "data_gaps": { "unverified": [ "Which blockchains are supported — website mentions 'multiple chains' but specific list not confirmed from primary source" ], "inaccessible": [ "blockmachine.io/technology — not fully crawled" ], "missing": [ "Discord link", "On-chain identity contact email" ], "stale": [] }, "researched_at": "2026-05-06T17:00:00Z", "confidence": "high", "sources_reviewed": [ "https://blockmachine.io/", "https://blockmachine.io/pricing", "https://icm-analytics.com/bittensor/subnets/19/", "https://subnetradar.com/subnet/19", "https://blockmachine.io/docs/ai-agents (AI agents page crawled Apr 2026 — confirmed RPC endpoint, markdown docs, llm.txt agent reference)" ], "notes": "Mainnet launched April 21, 2026 — very recent. Miners bid in USD per compute unit with rewards settled on-chain in alpha tokens. ICM gives it 22/100 (D rating) citing thin dev activity (1 commit in 90 days) and vague value proposition, but the product website and pricing are clearly defined. 13 validators, 13 miners on-chain as of research date. AI Agents documentation page exists, suggesting positioning toward agentic workloads.", "assets": { "logo": "assets/sn19/logo.jpg", "logo_source": "https://pbs.twimg.com/profile_images/2026256352067137536/6rZdqhpT_400x400.jpg", "favicon": "assets/sn19/favicon.svg", "favicon_source": "https://blockmachine.io/favicon.ico" }, "market_data": { "mcap_tao": 66912.3, "price_tao": 0.013375869, "tao_locked": 36630.5, "alpha_in_pool": 2738553.2, "alpha_staked": 2263913.6, "rank": 15, "block": "8154319", "updated_at": "2026-05-10T16:19:40.730Z" }, "mcap_tao": 73619.4 }, "sn1_apex": { "netuid": 1, "name": "Apex", "product": { "tagline": "Open competition platform for algorithmic innovation", "category": "Model & Agent Development", "subcategory": "Algorithmic Optimization", "tags": [ "reinforcement-learning", "competition", "algorithms", "open-source", "bittensor", "research" ], "status": "live", "description": "Apex is a competition platform where developers submit Python-based algorithms and compete across diverse computational challenges. Current competitions include optimizing financial time series and solving complex scheduling problems. Algorithms are continuously benchmarked and ranked. Open-source, with results published publicly.", "target_users": [ "ML researchers and algorithm developers", "Reinforcement learning practitioners", "Distributed systems engineers", "Competitive programmers interested in crypto rewards" ], "use_cases": [ "Develop and benchmark reinforcement learning algorithms", "Optimize distributed training pipeline routing and balancing", "Access competitive evaluation infrastructure for ML research", "Compete across diverse computational challenges (RL Battleship, Iota Simulator)" ] }, "pricing": { "model": "open-source", "currency": null, "notes": "Open-source platform. No end-user product pricing — this is a research and competition platform.", "open_source": true }, "access": { "api_available": false, "requires_auth": false, "sdk": [ "python" ] }, "links": { "website": "https://macrocosmos.ai", "github": "https://github.com/macrocosm-os/apex", "docs": "https://docs.macrocosmos.ai/subnets/subnet-1-apex", "discord": "https://discord.gg/vdyz4JZ9Ww", "twitter": null, "blog": null }, "on_chain": { "owner_contact": "support@macrocosmos.ai", "logo_url": "https://www.macrocosmos.ai/images/mc_logo_black.png", "additional": "Operated by Macrocosmos. SN1: An incentive mechanism for internet-scale conversational intelligence." }, "data_gaps": { "unverified": [ "Whether Apex results/models are used by external consumers or purely competitive" ], "inaccessible": [ "Macrocosmos website blocked or JS-heavy — could not confirm full product details" ], "missing": [ "Public API or end-user product from Apex outputs", "Twitter/X account for Apex specifically", "Pricing for validator services" ] }, "researched_at": "2026-05-06T17:00:00Z", "confidence": "medium", "notes": "Subnet 1 is the original Bittensor subnet — originally focused on LLM inference, now evolved into a multi-competition algorithmic innovation platform run by Macrocosmos. Current competitions: RL Battleship and Iota Simulator (distributed training). Active GitHub with 2,893 commits, last commit Apr 21 2026. MIT license. 22 contributors, 132 stars, 67 forks. Apex CLI is the submission mechanism for miners.", "sources_reviewed": [ "https://github.com/macrocosm-os/apex (GitHub, via Jina Reader)", "https://bittensor.ai/subnets/1 (on-chain info)", "https://subnetalpha.ai/subnet/apex/ (third-party)", "https://docs.macrocosmos.ai/subnets/subnet-1-apex (docs)", "https://macrocosmos.ai (website crawled Apr 2026 — confirmed live, 55B rows scraped in Gravity, team members shown, products: IOTA/Gravity/Apex)" ], "assets": { "favicon": "assets/sn1/favicon.ico", "favicon_source": "https://www.macrocosmos.ai/favicon.ico", "logo": "assets/sn1/logo.png", "logo_source": "https://www.macrocosmos.ai/images/mc_logo_black.png" }, "market_data": { "mcap_tao": 50466.8, "price_tao": 0.010212665, "tao_locked": 28397, "alpha_in_pool": 2780571.1, "alpha_staked": 2161019.3, "rank": 23, "block": "8154319", "updated_at": "2026-05-10T16:19:40.732Z" }, "mcap_tao": 53174.5 }, "sn20_groundlayer": { "netuid": 20, "name": "GroundLayer", "product": { "tagline": "Structured OTC capital layer for crypto tokens", "category": "Finance", "subcategory": "OTC Capital Markets", "tags": [ "OTC", "capital-markets", "subnet-tokens", "institutional", "dTAO", "fund-management" ], "status": "development", "description": "GroundLayer enables structured OTC deals for crypto tokens, allowing projects to raise capital without selling spot. Investors get structured, discounted exposure with on-chain enforcement and no counterparty risk. Fund managers compete to lock capital into deals.", "target_users": [ "network owners", "institutional investors", "fund managers", "decentralized ecosystem users" ], "use_cases": [ "Raising capital for network tokens without price impact", "Structured OTC deal execution with onchain settlement", "Fund manager performance-based capital allocation", "Institutional investment into decentralized network tokens" ] }, "pricing": { "model": "token-gated", "currency": "TAO", "free_tier": { "available": false, "limits": null }, "tiers": [], "notes": "Platform is pre-launch. Early access registration available." }, "access": { "api_available": false, "api_url": null, "api_docs": null, "requires_auth": false, "auth_method": null, "sdk": [], "playground": null }, "links": { "website": "https://groundlayer.xyz", "github": "https://github.com/RogueTensor", "docs": null, "discord": null, "twitter": "https://x.com/GroundLayerHQ", "blog": null }, "on_chain": { "owner_contact": "groundlayer@rizzo.network", "logo_url": "https://www.groundlayer.xyz/icon.png", "additional": "The Capital Layer for Bittensor" }, "market_data": { "mcap_tao": 19621.3, "price_tao": 0.003945901, "tao_locked": 8405.7, "alpha_in_pool": 2130246.6, "alpha_staked": 2842322, "rank": 66, "block": "8154319", "updated_at": "2026-05-10T16:19:40.734Z" }, "sources_reviewed": [ "https://groundlayer.xyz", "https://github.com/RogueTensor" ], "data_gaps": { "unverified": [ "On-chain description says 'Decentralized AI agents' but website shows capital/OTC focus — may be outdated" ], "inaccessible": [ "GitHub repo appears to be placeholder ('comingsoon')" ], "missing": [ "price_tao", "tao_locked", "alpha_in_pool", "alpha_staked", "block", "discord", "docs" ], "stale": [ "On-chain description 'Decentralized AI agents' appears stale — product pivoted to capital markets" ] }, "researched_at": "2026-04-29T15:35:00Z", "confidence": "high", "notes": "Pre-launch protocol — early access waitlist open. Website is detailed and polished. Three roles: Sellers (subnet owners), Fund Managers, Investors. Smart contract enforced deals. TAO-first settlement with USDC planned.", "assets": { "logo": "assets/sn20/logo.png", "logo_source": "https://www.groundlayer.xyz/icon.png", "favicon": "assets/sn20/favicon.png", "favicon_source": "https://www.groundlayer.xyz/apple-icon.png" }, "mcap_tao": 19505.1 }, "sn21_adtao": { "netuid": 21, "name": "AdTAO", "product": { "tagline": "AI-powered Google Ads diagnostic and optimization tool", "category": "Marketing & Advertising", "subcategory": "PPC Management", "tags": [ "google-ads", "ppc", "advertising", "diagnostics", "marketing-analytics", "ai-ads-manager" ], "status": "live", "description": "AdTAO (PPC Rebel) is a 24/7 AI-powered Google Ads manager that diagnoses and fixes account problems using a systematic diagnostic framework called TRUST (Tiered Resolution Using Systematic Taxonomy). Uses 263 named problem patterns learned from 1000+ accounts to identify what's actually broken in the right order: Goals → Measurement → Strategy → Settings → Contents.", "target_users": [ "PPC managers", "Google Ads account managers", "Digital marketing agencies", "Small business advertisers" ], "use_cases": [ "Diagnose Google Ads account problems in priority order", "Identify named patterns like 'Budget-Starved Winner' or 'Conversion Tracking Gap'", "Get actionable fix recommendations with rollback triggers", "Continuous 24/7 monitoring and optimization of Google Ads accounts" ] }, "pricing": { "model": "subscription", "currency": "USD", "free_tier": { "available": true, "limits": "14-day free trial, no credit card required" }, "tiers": [ { "name": "Standard", "price": "$99/month", "unit": "per account", "features": [ "24/7 AI monitoring", "263 named problem patterns", "TRUST diagnostic framework", "Actionable recommendations with rollback triggers" ] } ], "notes": "$99/month per Google Ads account. No setup fees, no long-term contracts. 14-day free trial." }, "access": { "api_available": false, "api_url": null, "api_docs": null, "requires_auth": true, "auth_method": "Account signup", "sdk": [], "playground": null }, "links": { "website": "https://ppcrebel.com", "github": null, "docs": null, "discord": null, "twitter": null, "blog": null }, "on_chain": { "owner_contact": "adtao@ppcrebel.com", "logo_url": "https://www.ppcrebel.com/i/adtao.png", "additional": "Counterfactual impact prediction for advertising interventions" }, "data_gaps": { "unverified": [], "inaccessible": [ "ppcrebel.com not fetched — may contain product details" ], "missing": [ "GitHub repository", "Website", "Product documentation", "Pricing", "API details", "Timeline" ], "stale": [] }, "researched_at": "2026-05-10T16:30:00Z", "_prev_researched_at": "2026-05-01T23:00:00Z", "confidence": "medium", "sources_reviewed": [ "https://bittensor.ai/subnets/21 (via Jina Reader)" ], "notes": "Discord (Apr 2026): New owner Rob Warner introduced himself Apr 9. UK-based, data-driven background (Chartered Accountant). IM is counterfactual prediction modelling, no GPU needed. Complementary to SN16 BitAds. Community gave feedback on his intro post. He acknowledged being new to Discord. Very early — \"the hardest thing is the getting started\" (Apr 13).", "market_data": { "mcap_tao": 23240, "price_tao": 0.004646726, "tao_locked": 8556.8, "alpha_in_pool": 1841478.6, "alpha_staked": 3159888.7, "rank": 52, "block": "8154319", "updated_at": "2026-05-10T16:19:40.734Z" }, "assets": { "logo": "assets/sn21/logo.png", "logo_source": "https://www.ppcrebel.com/i/adtao.png", "favicon": "assets/sn21/favicon.png" }, "mcap_tao": 26959.9 }, "sn22_desearch": { "netuid": 22, "name": "Desearch", "product": { "tagline": "AI-powered search engine with multi-source aggregation", "category": "Data Pipeline", "subcategory": "Search and Data Aggregation", "tags": [ "search-engine", "ai-search", "sentiment-analysis", "web-search", "decentralized" ], "status": "live", "description": "Desearch is an AI-powered search engine delivering unbiased, verifiable results by aggregating data from X/Twitter, Reddit, ArXiv, Wikipedia, YouTube, Hacker News, and the general web. Features include sentiment analysis, metadata extraction, and real-time data access through an API.", "target_users": [ "Developers building AI applications", "Researchers needing multi-source search", "AI builders needing search APIs", "Users seeking unbiased search results" ], "use_cases": [ "Integrate AI-powered search into applications via API", "Aggregate and analyze data from Twitter, Reddit, ArXiv, YouTube, and more", "Perform sentiment analysis across multiple data sources", "Access real-time, verifiable search results without centralized bias" ] }, "pricing": { "model": "usage-based", "currency": "USD", "free_tier": { "available": true, "limits": "Free credits on signup ($5 API credits + $100 earnable)" }, "tiers": [ { "name": "X (Twitter) API", "price": "$0.15/1000 posts", "features": [ "Real-time posts/conversations", "Trend detection", "Advanced filtering" ] }, { "name": "Web Search API", "price": "$0.10/100 searches", "features": [ "SERP-style results", "Pagination", "Structured JSON" ] }, { "name": "Web Crawl API", "price": "$0.50/1000 pages", "features": [ "Full page text extraction", "JavaScript rendering", "Metadata & links" ] }, { "name": "AI Search API", "price": "$0.40/1000 items", "features": [ "Multi-source (web, Reddit, Arxiv, X)", "AI-optimized", "Context-aware" ] }, { "name": "Enterprise", "price": "Custom", "features": [ "Private endpoints", "Dedicated cluster", "Custom SLA" ] } ], "notes": "Pay-per-use pricing. Enterprise credit plans available for unified credits across all APIs. Up to 33x more cost-efficient than alternatives." }, "access": { "api_available": true, "api_url": null, "api_docs": null, "requires_auth": true, "auth_method": null, "sdk": [], "playground": "https://desearch.ai/" }, "links": { "website": "https://desearch.ai", "github": "https://github.com/Desearch-ai/subnet-22", "docs": null, "discord": "https://discord.gg/P44zrJmdFy", "twitter": null, "blog": null }, "on_chain": { "owner_contact": "giga@desearch.ai", "logo_url": "https://desearch.ai/assets/logo-icon-C18R0lAC.png", "additional": "Decentralized search engine" }, "data_gaps": { "unverified": [ "API availability and pricing" ], "inaccessible": [ "desearch.ai not fetched — may contain pricing and product details" ], "missing": [ "API pricing", "API documentation URL", "SDK details", "Twitter account" ], "stale": [] }, "researched_at": "2026-04-28T20:07:00Z", "confidence": "medium", "sources_reviewed": [ "https://bittensor.ai/subnets/22 (via Jina Reader)" ], "notes": "High network share (#4 at 3.59%). Very active development: 60 commits/30d, 12 contributors, MIT licensed. Built by Datura AI (previously known as SN22). Formerly one of the most prominent Bittensor subnets. Uses OpenAI models for summarization. Redis caching and W&B monitoring.", "market_data": { "mcap_tao": 24694.4, "price_tao": 0.004850193, "tao_locked": 9433.9, "alpha_in_pool": 1945049.8, "alpha_staked": 3146368.1, "rank": 50, "block": "8154319", "updated_at": "2026-05-10T16:19:40.735Z" }, "assets": { "logo": "assets/sn22/logo.png", "logo_source": "https://desearch.ai/assets/logo-icon-C18R0lAC.png", "favicon": "assets/sn22/favicon.png", "favicon_source": "https://www.desearch.ai/favicon.png" }, "mcap_tao": 25610.3 }, "sn23_trishool": { "netuid": 23, "name": "Trishool", "product": { "tagline": "AI safety engine — adversarial testing for model alignment", "category": "Model & Agent Development", "subcategory": "AI Safety Testing", "tags": [ "AI safety", "alignment", "adversarial prompts", "red-teaming", "RLVR", "Bittensor", "AGI safety" ], "status": "live", "description": "Trishool is a self-evolving AI safety engine that continuously probes AI models for misalignment behaviors including deception, sycophancy, collusion, and power-seeking. Adversarial tests are evaluated with 95%+ accuracy targets. Results feed into the Guardian safety model, retrained weekly. Built for regulatory compliance and enterprise AI safety audits.", "target_users": [ "AI safety researchers", "AI engineers", "regulators", "enterprise AI teams needing alignment audits", "red-teamers" ], "use_cases": [ "Detecting AI model deception, sycophancy, and collusion", "Generating adversarial alignment test suites", "Supporting EU AI Act and SB-53 audit requirements", "Continuous red-teaming of AI systems", "Building SOTA AI guard models via competitive compute tasks" ] }, "pricing": { "model": "token-gated", "currency": "TAO", "free_tier": { "available": false, "limits": null }, "tiers": [], "notes": "No commercial B2B pricing published yet. Regulatory compliance use-case suggests future contact-sales model." }, "access": { "api_available": true, "api_url": null, "api_docs": "https://docs.trishool.ai/", "requires_auth": true, "auth_method": "Bittensor wallet signature", "sdk": [], "playground": "https://trishool.ai/dashboard" }, "links": { "website": "https://trishool.ai", "github": "https://github.com/TrishoolAI/trishool-phase2", "docs": "https://docs.trishool.ai/", "discord": "https://discord.com/channels/799672011265015819/1437447445176127618", "twitter": null, "blog": "https://substack.com/@astroware" }, "on_chain": { "owner_contact": "nav@astroware.ai", "logo_url": "https://trishool.ai/_next/image?url=%2Ftrishool-logo-small.png&w=96&q=75", "additional": "AlignNet: weekly RLVR retrained Alignment-LLM; Guardian base model evolves from winning submissions; Litepaper at litepaper.trishool.ai" }, "market_data": { "mcap_tao": 19940.8, "price_tao": 0.0039972, "tao_locked": 6818, "alpha_in_pool": 1705700.8, "alpha_staked": 3283002.1, "rank": 64, "block": "8154319", "updated_at": "2026-05-10T16:19:40.736Z" }, "sources_reviewed": [ "https://trishool.ai", "https://github.com/TrishoolAI/trishool-phase2", "https://docs.trishool.ai/" ], "data_gaps": { "unverified": [ "commercial pricing for enterprise auditing", "Guardian model performance metrics" ], "inaccessible": [], "missing": [ "price_tao", "tao_locked", "alpha_in_pool", "alpha_staked", "discord", "twitter" ], "stale": [] }, "researched_at": "2026-04-29T15:45:00Z", "confidence": 0.82, "notes": "Well-documented product. GitHub README (trishool-phase2) confirms architecture: miners submit adversarial prompts, validators score via OpenClaw + Judge agents, weights written on-chain. AlignNet evolves weekly via RLVR. Phase 2 live. Strong regulatory tailwind (EU AI Act, SB-53).", "assets": { "logo": "assets/sn23/logo.png", "logo_source": "https://trishool.ai/_next/image?url=%2Ftrishool-logo-small.png&w=96&q=75", "favicon": "assets/sn23/favicon.png", "favicon_source": "https://trishool.ai/trishool-logo-small.png" }, "mcap_tao": 18792.2 }, "sn24_quasar": { "netuid": 24, "name": "Quasar", "product": { "tagline": "Open foundation models for long-context intelligence", "category": "Model & Agent Development", "subcategory": "Model Serving", "tags": [ "linear-attention", "long-context", "llm", "open-weights", "decentralized-training", "inference" ], "status": "live", "description": "Quasar, operated by SILX AI, produces open-weight foundation models with linear attention architectures capable of processing millions of tokens. All models are released under Apache 2.0 on HuggingFace for free download and self-hosted deployment.", "target_users": [ "AI/ML engineers", "researchers working on long-context problems", "developers building document-processing applications" ], "use_cases": [ "Long-context LLM inference (up to 2M+ tokens)", "Document understanding and processing", "Download and deploy open-weight models locally", "Research into linear attention architectures" ] }, "pricing": { "model": "open-source", "currency": null, "free_tier": { "available": true, "limits": "Apache 2.0 open-weight models freely downloadable from HuggingFace" }, "tiers": [], "notes": "Models are open-weight and freely downloadable under Apache 2.0. Self-hosted deployment only.", "open_source": true }, "access": { "api_available": false, "api_url": null, "api_docs": null, "requires_auth": false, "auth_method": null, "sdk": [], "playground": null }, "links": { "website": "https://silxinc.com", "github": "https://github.com/SILX-LABS/QUASAR-SUBNET", "docs": null, "discord": "https://discordapp.com/channels/799672011265015819/1214246819886931988", "twitter": null, "blog": null, "huggingface": "https://huggingface.co/silx-ai" }, "on_chain": { "owner_contact": "-", "logo_url": "https://silxinc.com/_next/image?url=%2Flogo-white.png&w=640&q=75", "additional": "-" }, "data_gaps": { "unverified": [ "Model performance benchmarks — SILX claims frontier-class quality but no independent third-party benchmarks found" ], "inaccessible": [ "silxinc.com full page content beyond homepage" ], "missing": [ "Twitter/X account for SILX AI", "Documentation URL", "On-chain contact email", "Pricing for hosted inference (if any planned)" ], "stale": [] }, "researched_at": "2026-05-06T17:00:00Z", "confidence": "medium", "sources_reviewed": [ "https://silxinc.com/", "https://subnetradar.com/subnet/24", "https://github.com/SILX-LABS/QUASAR-SUBNET" ], "notes": "Current model release: Quasar-3B-A1B-Preview — MoE architecture, 3B total params, 1B active params. Linear (continuous-time) attention architecture scales better than standard transformers. All models Apache 2.0, on HuggingFace at huggingface.co/silx-ai. Decentralized pretraining: miners compete to produce best model checkpoints. Quasar-2M-Base is the first released model — 2.4B parameters, 2M token context window, linear attention, trained on 2T tokens. Open weights under Apache 2.0. The subnet focuses on training/competition rather than offering a hosted inference API. 64 validators, 192 miners — slot is saturated (256/256).", "assets": { "logo": "assets/sn24/logo.png", "logo_source": "https://silxinc.com/_next/image?url=%2Flogo-white.png&w=640&q=75", "favicon": "assets/sn24/favicon.svg", "favicon_source": "https://silxinc.com/vite.svg" }, "market_data": { "mcap_tao": 62019.6, "price_tao": 0.012546867, "tao_locked": 14846.9, "alpha_in_pool": 1183314.6, "alpha_staked": 3759723.1, "rank": 18, "block": "8154319", "updated_at": "2026-05-10T16:19:40.737Z" }, "mcap_tao": 72808.7 }, "sn25_mainframe": { "netuid": 25, "name": "Mainframe", "product": { "tagline": "This product is no longer active", "category": "Misc", "subcategory": "Molecular Dynamics", "tags": [ "desci", "protein-folding", "molecular-dynamics", "drug-discovery", "openmm", "pharma" ], "status": "deprecated", "description": "This product is no longer active. Originally Mainframe (molecular dynamics), later taken over by VoiceGuard (audio deepfake detection), but development appears to have been abandoned since early 2025.", "target_users": [ "Pharmaceutical researchers", "Biotech companies", "Academic researchers in computational biology", "Drug discovery teams" ], "use_cases": [ "Distributed protein folding simulations using OpenMM", "Finding lowest free energy configurations of proteins", "Protein-ligand docking for drug discovery", "Affordable access to molecular dynamics computational resources" ] }, "pricing": { "model": "unknown", "currency": null, "free_tier": { "available": false, "limits": null }, "tiers": [], "notes": "No active product or pricing." }, "access": { "api_available": true, "api_url": null, "api_docs": null, "requires_auth": true, "auth_method": null, "sdk": [], "playground": null }, "links": { "website": "https://macrocosmos.ai/sn25", "github": "https://github.com/macrocosm-os/mainframe", "docs": null, "discord": "mccrinbc", "twitter": null, "blog": null }, "on_chain": { "owner_contact": "brian@macrocosmos.ai", "logo_url": "https://www.macrocosmos.ai/images/mc_logo_black.png", "additional": "Powering decentralized science on Bittensor" }, "data_gaps": { "unverified": [ "Organic API availability" ], "inaccessible": [ "macrocosmos.ai/sn25 not fetched" ], "missing": [ "API pricing", "API documentation", "Discord link", "Twitter account" ], "stale": [ "Last GitHub commit 211 days ago — subnet appears abandoned", "Health rated 40/100 'abandoned'" ] }, "researched_at": "2026-05-01T22:30:00Z", "confidence": "medium", "sources_reviewed": [ "https://bittensor.ai/subnets/25 (via Jina Reader)" ], "notes": "History: Originally Mainframe by Macrocosmos (protein folding). Taken over by VoiceGuard team (Cazure, Victor) in Dec 2024. VoiceGuard whitepaper published Jan 2025. GitHub: github.com/Cazure8/voiceguard-subnet. Miner Hubs dashboard launched at taoscribe.ai/miner-hubs. But the last team Discord message was Jan 2025 — appears abandoned. 0 miners as of Apr 2026.", "market_data": { "mcap_tao": 22518.7, "price_tao": 0.004492028, "tao_locked": 10718.4, "alpha_in_pool": 2386091.7, "alpha_staked": 2626937.3, "rank": 55, "block": "8154319", "updated_at": "2026-05-10T16:19:40.738Z" }, "assets": { "logo": "assets/sn25/logo.png", "logo_source": "https://www.macrocosmos.ai/images/mc_logo_black.png", "favicon": "assets/sn25/favicon.ico", "favicon_source": "https://www.macrocosmos.ai/favicon.ico" }, "mcap_tao": 23586.1 }, "sn26_beqar": { "netuid": 26, "name": "beqar", "product": { "tagline": "Generalist robotics policy evaluation via decentralized simulation", "category": "Robotics", "subcategory": "Robotics Evaluation", "tags": [ "robotics", "world-models", "evaluation", "simulation", "synthetic-data", "bittensor", "metaworld", "genesis" ], "status": "development", "description": "Kinitro (formerly beqar) is a decentralized platform for developing generalist robotics policies that perform well across diverse simulated environments (MetaWorld manipulation and Genesis humanoid locomotion). Researchers train policies and deploy them to Basilica serverless infrastructure, evaluated using epsilon-Pareto dominance scoring that rewards true generalization across all environments rather than specialization.", "target_users": [ "Robotics researchers", "World model developers", "Synthetic data creators", "Generalist policy researchers" ], "use_cases": [ "Evaluate robotics agents across diverse simulated environments (MetaWorld, Genesis)", "Train and compete with generalist robotics policies", "Generate synthetic data for robotics training", "Research generalization vs specialization in embodied AI" ] }, "pricing": { "model": "unknown", "currency": null, "free_tier": { "available": false, "limits": null }, "tiers": [], "notes": "No consumer-facing product or pricing. Research/development network — operators compete on policy quality." }, "access": { "api_available": false, "api_url": null, "api_docs": null, "requires_auth": false, "auth_method": null, "sdk": [ "bittensor" ], "playground": null }, "links": { "website": "https://beqar.dev", "github": null, "docs": null, "discord": "https://discord.gg/6sFrH9B4Pa", "twitter": null, "blog": null }, "on_chain": { "owner_contact": "contact@kinitro.ai", "logo_url": "https://r2.bittensor.ai/chain-logos/26/280325c411e4bae079f29bd5dc2e1f8e08c0f6f01e1031514e6e61715924f068.png", "additional": null }, "market_data": { "mcap_tao": 8443.1, "price_tao": 0.016543684, "tao_locked": 2653, "alpha_in_pool": 160365.3, "alpha_staked": 349988.3, "rank": 107, "block": "8154319", "updated_at": "2026-05-10T16:19:40.738Z" }, "sources_reviewed": [ "https://bittensor.ai/subnets/26 (via Jina Reader, 2026-05-10)", "https://beqar.dev (403 Cloudflare error, 2026-05-06)", "https://github.com/threetau/beqar (requires login, 2026-05-06)", "https://github.com/threetau/kinitro (404, 2026-05-06)" ], "data_gaps": { "unverified": [], "inaccessible": [ "beqar.dev returns 403 Cloudflare CNAME banned error", "threetau/beqar GitHub requires login (private or restricted)", "threetau/kinitro GitHub is 404 (deleted or made private)" ], "missing": [ "Working website URL", "Pricing details (research subnet, may never have consumer pricing)", "Documentation", "Twitter/X account" ], "stale": [ "kinitro.ai mentioned in Discord (2026-02-08) but domain did not resolve as of 2026-05-02" ] }, "researched_at": "2026-05-10T16:15:00Z", "confidence": "medium", "notes": "Led by Shr1ftyy. Health 37/100 (stale — 0 commits/30d, last commit 84d ago). 79 neurons registered (was 1 on 2026-05-06 — significant growth). 4 validators, 8 miners (up from 1 neuron). Network share 0.54% (#52), emission rank #12. Price up +415.7% 7d. On-chain description still says 'A decentralized, incentive-driven web scraping engine' which doesn't match the actual robotics focus.", "assets": { "logo": "assets/sn26/logo.png", "logo_source": "https://r2.bittensor.ai/chain-logos/26/280325c411e4bae079f29bd5dc2e1f8e08c0f6f01e1031514e6e61715924f068.png", "favicon": "assets/sn26/favicon.png" }, "mcap_tao": 16775.7 }, "sn27_nodexo": { "netuid": 27, "name": "Nodexo", "product": { "tagline": "AI site search and shopping assistant that understands what visitors mean, not just what they type", "category": "Data Pipeline", "subcategory": "Search", "tags": [ "ai-search", "ecommerce", "semantic-search", "conversational-commerce", "shopify", "site-assistant" ], "status": "live", "description": "Nobi is an AI-powered site search and conversational shopping assistant for ecommerce websites. It replaces traditional keyword search with semantic understanding, delivering relevant product results from natural language queries. Features include conversational product Q&A, merchandising rules, lead capture, custom actions, and analytics — all embeddable via a simple script tag.", "target_users": [ "Ecommerce brands and retailers", "Shopify and WooCommerce store owners", "Digital merchandising teams", "Customer experience managers" ], "use_cases": [ "Replace keyword-based site search with semantic AI search", "Answer product questions conversationally (sizing, materials, care)", "Capture leads through natural conversation flow", "Boost conversions with AI-driven product discovery and merchandising" ] }, "pricing": { "model": "usage-based", "currency": "USD", "free_tier": { "available": true, "limits": "100 free messages/month in dashboard, no credit card required. 30-day free trial when going live on site." }, "starts_at": "$25/month (Standard)", "tiers": [ { "name": "Standard", "price": "$25/month base", "features": [ "2,500 searches and 250 messages included", "Up to 5,000 products and 5,000 KB documents", "Semantic search + conversational assistant", "Merchandising rules (boost, bury, pin, filter)", "Analytics and reporting dashboard", "Overages: $0.10/message, $0.01/search" ] }, { "name": "Enterprise", "price": "Custom pricing", "features": [ "Volume discounts on usage", "Custom integrations and onboarding", "Dedicated support", "Over 5,000 products and KB documents" ] } ], "notes": "Usage-based: $25/month base includes 2,500 searches + 250 messages. Overage: $0.10/message, $0.01/search. Option to pause at limit instead of paying overages. Annual and enterprise pricing available on request." }, "access": { "api_available": true, "api_url": "https://dashboard.nobi.ai", "api_docs": "https://docs.nobi.ai/developers-guide/components-api/", "requires_auth": true, "auth_method": "api-key", "sdk": [ "javascript" ], "playground": "https://dashboard.nobi.ai" }, "links": { "website": "https://nobi.ai", "github": "https://github.com/ProjectNobi/project-nobi", "docs": "https://docs.nobi.ai", "discord": "https://discord.com/invite/nodexo", "twitter": "https://x.com/projectnobi_tao", "blog": "https://nobi.ai/blog" }, "on_chain": { "owner_contact": "neuralinternet@gmail.com", "logo_url": "https://console.nodexo.ai/assets/images/logo/logo-dark.svg", "additional": "Decentralized AI compute platfrom" }, "data_gaps": { "unverified": [ "Enterprise tier pricing — listed as 'custom', no public rates" ], "inaccessible": [ "nodexo.ai — original domain no longer resolves (confirmed 2026-05-12)", "https://github.com/neuralinternet/compute-subnet — on-chain GitHub repo returns 404" ], "missing": [ "No Twitter/X account for the Nobi brand specifically (only @projectnobi_tao from prior branding)", "No public REST API for third-party integrations — only embeddable JavaScript components" ], "stale": [ "On-chain identity still references 'Nodexo' branding and defunct nodexo.ai domain — product has rebranded to Nobi (nobi.ai)" ] }, "researched_at": "2026-05-12T14:05:00Z", "confidence": "high", "sources_reviewed": [ "https://nobi.ai (via Jina Reader) — homepage, pricing, customers, FAQs, why-nobi/better-search, blog", "https://docs.nobi.ai (via Jina Reader) — overview, components API, developers guide", "https://dashboard.nobi.ai (via Jina Reader) — login/signup page", "https://github.com/ProjectNobi/project-nobi (via Jina Reader) — original open-source repo", "https://github.com/neuralinternet/compute-subnet — 404, no longer exists", "On-chain identity (subnetIdentitiesV3)", "https://bittensor.ai/subnets/27 (previous research)" ], "notes": "Major rebrand: formerly 'Nodexo' (decentralized compute), now 'Nobi' — an AI ecommerce search/assistant SaaS. The on-chain identity is stale (still says Nodexo + defunct domain). Live customers include Lucchese ($1M+ incremental revenue, 21% conversion lift, 33x ROI in 90 days), UNTUCKit (+17.1% conversion rate), and Kilte (+21.7% more conversions). Product is fully live with Shopify integration and a comprehensive docs site. GitHub repo (ProjectNobi/project-nobi) still references the old 'AI companion' description but the live product is now a B2B ecommerce search tool.", "market_data": { "mcap_tao": 23128, "price_tao": 0.004615446, "tao_locked": 8535, "alpha_in_pool": 1849279.3, "alpha_staked": 3161761.3, "rank": 56, "block": "8062426", "updated_at": "2026-05-12T14:05:00Z" }, "assets": { "favicon": "assets/sn27/favicon.png" }, "mcap_tao": 23128.2 }, "sn28_gm": { "netuid": 28, "name": "Gm", "product": { "tagline": "This product is no longer active", "category": "Misc", "subcategory": "Inactive", "tags": [ "bittensor", "staking" ], "status": "development", "description": "This slot has no active product or development. It may be available for acquisition.", "target_users": [ "N/A — no active product" ], "use_cases": [] }, "pricing": { "model": "unknown", "currency": null, "notes": "No product or pricing information found." }, "access": { "api_available": false }, "links": { "website": null, "github": "https://github.com/sellfish", "docs": null, "discord": null, "twitter": null, "blog": null }, "on_chain": { "owner_contact": null, "logo_url": null, "additional": "Registered Feb 20, 2025. 0 active miners. 14 validators. dTAO ticker: ד (Dalet, Hebrew letter). Discord channel (ד・fish・28) mostly social/meme content. const mentioned as involved. Some references to \"sellfish\" GitHub org." }, "data_gaps": { "unverified": [], "inaccessible": [ "No website or docs found" ], "missing": [ "Product description", "Website", "GitHub repository", "Team information", "Use case — what do miners do on this subnet?" ] }, "researched_at": "2026-05-01T22:30:00Z", "confidence": "low", "notes": "Discord channel is \"fish\" (ד・fish・28). No product activity. GitHub link is github.com/sellfish (shared in Discord Feb 2026). Also linked to Gittensor team (james4u). Community discusses eclair project (github.com/EclairFoundation/eclair). SN28 was listed on taostats.io/subnets/sales suggesting the slot may be for sale. Appears to be a dormant/speculative subnet with no active development.", "sources_reviewed": [ "https://bittensor.ai/subnets/28 (on-chain data)", "https://taostats.io/subnets/28 (market data)", "https://subnetalpha.ai/subnet/subnet28/ (no additional info)", "Discord message archive (ד・fish・28)" ], "market_data": { "mcap_tao": 53800.5, "price_tao": 0.010556685, "tao_locked": 13847.4, "alpha_in_pool": 1311720.2, "alpha_staked": 3784622.4, "rank": 22, "block": "8154319", "updated_at": "2026-05-10T16:19:40.740Z" }, "mcap_tao": 56348.8 }, "sn29_coldint": { "netuid": 29, "name": "Coldint", "product": { "tagline": "Cloud compute platform (in development)", "category": "Compute & Infrastructure", "subcategory": "Cloud Infrastructure", "tags": [ "cloud", "compute", "infrastructure", "bittensor" ], "status": "development", "description": "Polaris Cloud is building a cloud compute dashboard. Currently on testnet with plans to relaunch. The team is actively testing machine registration and compute management features.", "target_users": [ "GPU compute consumers", "Cloud infrastructure users" ], "use_cases": [] }, "pricing": { "model": "none", "currency": null, "free_tier": null, "tiers": [], "notes": "No consumer product or pricing available yet." }, "access": { "api_available": false, "api_url": null, "api_docs": null, "requires_auth": false, "auth_method": null, "sdk": [], "playground": null }, "links": { "website": null, "github": "https://github.com/coldint/coldint_validator", "docs": null, "discord": null, "twitter": null, "blog": null }, "on_chain": { "owner_contact": null, "logo_url": "https://github.com/coldint.png?size=200", "additional": "Owner wallet: 5HHHHHzgLnYRvnKkHd45cRUDMHXTSwx7MjUzxBrKbY4JfZWn" }, "data_gaps": { "unverified": [ "Current development status and team plans" ], "inaccessible": [ "GitHub repository not found at expected URL", "No Discord channel found in Bittensor server" ], "missing": [ "Website URL", "GitHub repository", "Pricing details", "Re-launch timeline" ], "stale": [] }, "researched_at": "2026-05-01T22:30:00Z", "confidence": "low", "sources_reviewed": [ "https://bittensor.ai/subnets/29 (on-chain data — 0 miners, 8 validators)", "https://github.com/coldint/coldint (404 — repo not found)", "Discord message search (no channel found for SN29/Coldint)", "AgentDB Discord archive (no Coldint channel)" ], "notes": "Team (wallscalr) confirmed pivot in Apr 2026 Discord post. Deregistered from mainnet, returned to testnet Mar 2026. Building Polaris Cloud dashboard with machine registration and Watchtower deployment. Previously ran as SN49.", "assets": { "logo": "assets/sn29/logo.png", "logo_source": "https://github.com/coldint.png?size=200", "favicon": "assets/sn29/favicon.png", "favicon_source": "https://coldint.io/wp-content/uploads/2025/07/cropped-ai_assess_avatar-180x180.png" }, "market_data": { "mcap_tao": 28894.7, "price_tao": 0.005731723, "tao_locked": 11938.1, "alpha_in_pool": 2082806, "alpha_staked": 2958390.1, "rank": 42, "block": "8154319", "updated_at": "2026-05-10T16:19:40.740Z" }, "mcap_tao": 68867.9 }, "sn2_dsperse": { "netuid": 2, "name": "DSperse", "product": { "tagline": "Verifiable AI inference with zero-knowledge proofs", "category": "Compute & Infrastructure", "subcategory": "Verifiable Inference", "tags": [ "zk-ml", "zero-knowledge", "verifiable-inference", "proof-of-inference", "decentralized" ], "status": "live", "description": "DSperse is the world's fastest zkML (zero-knowledge machine learning) proving cluster. It generates cryptographic proofs for AI inference, enabling anyone to verify that a specific model produced a specific output without re-running the model. Over 546.8 million proofs generated across 1,600+ unique compute nodes. Average proof time improved 10x since 2025. Version 2.0 mainnet operational. Features a Studio interface (sn2-studio.inferencelabs.com) for launching verifiable inference jobs.", "target_users": [ "Developers needing verifiable AI inference", "AI researchers interested in zk-ML proofs", "Projects requiring tamper-proof AI output verification" ], "use_cases": [ "Verify AI inference without re-running the model", "Prove which AI model produced a specific output", "Verify AI inference results using zero-knowledge proofs without re-running the model", "Research optimal zk-proving systems for ML models" ] }, "pricing": { "model": "unknown", "currency": null, "notes": "No public pricing found. Research-focused platform." }, "access": { "api_available": true, "sdk": [ "rust", "python" ], "api_url": "https://sn2-studio.inferencelabs.com", "playground": "https://sn2-studio.inferencelabs.com", "stats_dashboard": "https://sn2-stats.inferencelabs.com/" }, "links": { "website": "https://subnet2.inferencelabs.com", "github": "https://github.com/inference-labs-inc/subnet-2", "docs": "https://sn2-docs.inferencelabs.com", "discord": "https://discord.gg/inferencelabs", "twitter": "https://twitter.com/inference_labs", "blog": null }, "on_chain": { "owner_contact": null, "logo_url": "https://dsperse.inferencelabs.com/logo-512.png", "additional": "Verifiable and distributed inference on Bittensor. Operated by Inference Labs Inc." }, "data_gaps": { "unverified": [ "Whether DSperse inference is accessible via API for end users or purely a research subnet" ], "inaccessible": [ "No pricing or product page" ], "missing": [ "API endpoint for consuming verified inference" ] }, "researched_at": "2026-05-06T17:00:00Z", "confidence": "high", "notes": "Version 2.0 mainnet operational. 546.8M+ total proofs generated. 1,600+ active unique miners. 22 validators online. 10x improvement in proof times since 2025 through miner competition alone. CPU-intensive (not GPU), opening the network to non-GPU miners. Very active: 51 commits/30d, last commit 3 days ago. 8 contributors. 2,113 GitHub stars, 122 forks — highly regarded project. Rust-based monorepo with specialized crates. Uses Expander backend for zk-proof verification. QUIC transport (btlightning) for miner-validator communication. Auto-updates via", "sources_reviewed": [ "https://bittensor.ai/subnets/2 (on-chain data and auto-generated description)", "https://github.com/inference-labs-inc/subnet-2 (GitHub)", "https://subnet2.inferencelabs.com (website)", "Discord message archive (β・dsperse・2)", "https://sn2-docs.inferencelabs.com (docs crawled Apr 2026 — confirmed: Proof-of-Inference, 300M+ proofs, 1500+ miners, 10x proof time improvement, Proof-of-Weights feature)" ], "assets": { "logo": "assets/sn2/logo.png", "logo_source": "https://r2.bittensor.ai/chain-logos/2/fba9fe1458b5d88648b8c4b726bdb964f68f9b784cedab7b604242e7259ea1d5.png", "favicon": "assets/sn2/favicon.png", "favicon_source": "https://subnet2.inferencelabs.com/logo.png" }, "market_data": { "mcap_tao": 28999.4, "price_tao": 0.006048686, "tao_locked": 10733.9, "alpha_in_pool": 1774576.7, "alpha_staked": 3019756.2, "rank": 40, "block": "8154319", "updated_at": "2026-05-10T16:19:40.742Z" }, "mcap_tao": 31625.3 }, "sn30_pending": { "netuid": 30, "name": "Pending", "product": { "tagline": "Trade on real-world event outcomes", "category": "Predictive Systems", "subcategory": "Prediction Markets", "tags": [ "prediction-markets", "trading", "sports-betting", "orderbook", "bittensor" ], "status": "beta", "description": "Wahoot (formerly Wahoo) is a prediction market trading platform where users trade on event outcomes including sports, crypto, and politics. Features an orderbook-based interface at wahoopredict.com with API access for programmatic trading.", "target_users": [ "Prediction market traders", "Sports bettors", "Quantitative traders" ], "use_cases": [ "Trade on prediction markets via Wahoot orderbook interface", "Earn rewards for accurate predictions and trading performance", "Access transparent prediction market with on-chain scoring" ] }, "pricing": { "model": "free", "currency": null, "free_tier": { "available": false, "limits": null }, "tiers": [], "notes": "Free to trade on the platform. Trading fees apply (up to 1% for limit orders). API available for programmatic trading." }, "access": { "api_available": true, "api_url": null, "api_docs": null, "requires_auth": true, "auth_method": "api-key", "sdk": [], "playground": null }, "links": { "website": "https://wahoopredict.com", "github": null, "docs": null, "discord": null, "twitter": null, "blog": null }, "on_chain": { "owner_contact": null, "logo_url": null, "additional": null }, "data_gaps": { "unverified": [], "inaccessible": [], "missing": [ "Detailed trading fee schedule", "API documentation URL", "Team information" ], "stale": [] }, "researched_at": "2026-05-01T22:30:00Z", "confidence": "medium", "sources_reviewed": [ "https://bittensor.ai/subnets/30 (via Jina Reader)" ], "notes": "Discord active — team (bayesian.beast, wahootsubnet) responds to community questions. Updated scoring in Feb 2026 to combat wash trading and fake volume. API key available from settings page. Orderbook mechanism with market and limit orders. Liquidity funded separately from subnet treasury.", "market_data": { "mcap_tao": 22421.5, "price_tao": 0.00446622, "tao_locked": 9338, "alpha_in_pool": 2090807.4, "alpha_staked": 2929432.4, "rank": 56, "block": "8154319", "updated_at": "2026-05-10T16:19:40.743Z" }, "assets": { "favicon": "assets/sn30/favicon.png" }, "mcap_tao": 24219.1 }, "sn32_itsai": { "netuid": 32, "name": "ItsAI", "product": { "tagline": "Most accurate AI text detector — 99% accuracy", "category": "Model & Agent Development", "subcategory": "AI-Generated Content Detection", "tags": [ "AI detection", "LLM detection", "plagiarism", "academic integrity", "text analysis", "API" ], "status": "live", "description": "It's AI detects AI-generated vs. human-written text with the highest accuracy on the MGTD benchmark (ICAIE, 2025). Products include: AI Detector (classify text), Advanced AI Scan (sentence-level probability breakdown), and Plagiarism Checker. Available as a Chrome Extension, ChatGPT Plugin, REST API, Zapier integration, and Python SDK.", "target_users": [ "teachers", "students", "writers", "recruiters", "managers", "ML engineers", "publishers", "educational institutions" ], "use_cases": [ "Detecting AI-generated essays for academic integrity", "Verifying content originality for publishers", "Screening AI-written resumes in recruitment", "Integrating AI detection into LMS platforms (Moodle)", "Automated content verification via Zapier workflows", "Programmatic AI detection via Python SDK or REST API" ] }, "pricing": { "model": "free tier available", "currency": "USD", "free_tier": { "available": true, "limits": "Limited scans per month on free tier" }, "tiers": [ { "name": "Free", "price": 0, "features": [ "Basic AI detection", "Limited scans" ] }, { "name": "Paid", "price": null, "features": [ "Advanced AI Scan", "Plagiarism Checker", "API access", "Higher volume" ] } ], "notes": "Freemium model with paid tiers for API and advanced features. See its-ai.org for pricing details." }, "access": { "api_available": true, "api_url": "https://app.its-ai.org/en/main/api/table", "api_docs": "https://app.its-ai.org/en/main/api/table", "requires_auth": true, "auth_method": "API key", "sdk": [ "Python (pypi: its-ai)" ], "playground": "https://its-ai.org/en" }, "links": { "website": "https://its-ai.org/en", "github": "https://github.com/It-s-AI/llm-detection", "docs": "https://github.com/It-s-AI/llm-detection/tree/main/docs", "discord": "https://discord.gg/bittensor", "twitter": "https://x.com/ai_detection", "blog": "https://its-ai.org/en/blog" }, "on_chain": { "owner_contact": "support@its-ai.org", "logo_url": "https://github.com/It-s-AI/llm-detection/blob/main/full_logo.png", "additional": "ItsAI is a bittensor subnet focused on high-quality AI detection for texts. Recognised as the most accurate AI detector by MGTD benchmark." }, "market_data": { "mcap_tao": 19722.6, "price_tao": 0.003911834, "tao_locked": 7924.1, "alpha_in_pool": 2025671.4, "alpha_staked": 3016101.3, "rank": 65, "block": "8154319", "updated_at": "2026-05-10T16:19:40.744Z" }, "sources_reviewed": [ "https://its-ai.org/en", "https://its-ai.org/en#pricing", "https://raw.githubusercontent.com/It-s-AI/llm-detection/main/README.md" ], "data_gaps": { "unverified": [ "exact pricing tiers and amounts" ], "inaccessible": [], "missing": [ "price_tao", "tao_locked", "alpha_in_pool", "alpha_staked" ], "stale": [] }, "researched_at": "2026-04-29T15:45:00Z", "confidence": 0.82, "notes": "Well-documented product with live website, active API, Python SDK on PyPI, Chrome extension, and revenue-generating company. README confirms SN32 identity. Most accurate AI detector per MGTD benchmark (2025).", "assets": { "logo": "assets/sn32/logo.png", "logo_source": "https://github.com/It-s-AI/llm-detection/blob/main/full_logo.png", "favicon": "assets/sn32/favicon.ico", "favicon_source": "https://its-ai.org/favicon.svg" }, "mcap_tao": 18686.9 }, "sn33_readyai": { "netuid": 33, "name": "ReadyAI", "product": { "tagline": "Structured web intelligence from 1,230+ domains — agent-ready data via MCP", "category": "Data Pipeline", "subcategory": "AI-Ready Dataset Curation", "tags": [ "mcp", "llms-txt", "data-enrichment", "web-data", "agentic-data", "structured-data", "enterprise", "huggingface" ], "status": "live", "description": "ReadyAI delivers structured intelligence from 1,230+ domains with a live data API. Over 10,000 domains have been processed into machine-readable formats. Products: LLMs.txt (structured domain summaries), Coding Intelligence (5K+ technical podcasts), and Web Enrichment (entity extraction, semantic tagging). Accessible via MCP tools, HuggingFace datasets, or custom API. Claimed 660x cheaper than Scale AI. Enterprise customers include Ipsos, Gelt, and Archway. Launched March 2026.", "target_users": [ "AI developers adding structured web data to agents via MCP", "ML teams needing training data from technical podcasts and web domains", "Enterprise organizations needing custom enrichment pipelines", "Agent builders needing autonomous data access with micropayments" ], "use_cases": [ "MCP tool queries for structured domain intelligence (llms.txt)", "Coding intelligence search across 5K+ technical podcasts", "Web enrichment — entity extraction, semantic tags, summaries from any URL", "Agent-to-agent data commerce via x402 micropayments", "Custom enterprise enrichment pipelines (Ipsos, Gelt, Archway)" ] }, "pricing": { "model": "free / ~$0.001/query", "currency": "USD", "notes": "Free tier: 100 MCP queries/day, no credit card. Builder tier: ~$0.001/query via micropayments (x402 protocol). Enterprise: annual licensing, fiat or crypto. Cost estimator: 1K queries ≈ $1.", "tiers": [ { "name": "Explorer", "price": "Free", "features": [ "100 MCP queries per day", "All HuggingFace datasets (open source)", "LLMs.txt, coding intelligence, web enrichment", "Community Discord support", "No credit card required" ] }, { "name": "Builder", "price": "~$0.001/query", "features": [ "Unlimited MCP queries", "All domains and datasets", "Agent wallet compatible (Coinbase, AP2)", "Pay with SN33 token or USDC (x402 protocol)", "No contracts or minimums", "Priority support" ] }, { "name": "Enterprise", "price": "Custom", "features": [ "Private MCP server instances", "Custom enrichment pipelines", "SLAs and uptime guarantees", "Dedicated account management", "Fiat invoicing (Stripe) or crypto billing" ] } ], "free_tier": { "available": true, "limits": "100 MCP queries per day, resets at midnight UTC" }, "starts_at": "~$0.001/query (Builder — pay per query, no minimum)" }, "access": { "api_available": true, "api_url": "https://github.com/afterpartyai/llms_txt_store", "api_docs": "https://readyai.ai/docs", "requires_auth": false, "auth_method": "none (free tier) / x402 micropayment (builder)", "sdk": [ "MCP (npm package coming soon)" ], "openai_compatible": false }, "links": { "website": "https://readyai.ai", "pricing": "https://readyai.ai/pricing", "github": "https://github.com/afterpartyai/llms_txt_store", "docs": "https://readyai.ai/docs", "discord": "https://discord.gg/readyai", "twitter": "https://x.com/ReadyAI_", "blog": "https://readyai.ai/blog/", "contact_sales": "mailto:david@readyai.ai", "logo": "https://readyai.ai/images/logo.svg" }, "on_chain": { "owner_contact": "david@readyai.ai", "logo_url": "https://readyai.ai/images/logo.svg", "additional": "Operated by Afterparty. Registered June 9, 2025. SN 33." }, "company": { "name": "Afterparty / ReadyAI", "team_size": null, "location": null, "founded": null }, "data_gaps": { "unverified": [ "Exact per-query pricing for Builder tier (estimated ~$0.001 from cost calculator)", "MCP npm package not yet publicly released" ], "inaccessible": [], "missing": [ "Company founding date and team size", "HuggingFace download counts" ] }, "researched_at": "2026-05-06T17:00:00Z", "confidence": "high", "notes": "Major product evolution since last research. ReadyAI pivoted from pure data annotation to an agentic data marketplace with MCP integration. Three pricing tiers with a free tier (100 queries/day). Uses x402 payment protocol for agent micropayments. 10,000+ domains indexed into llms.txt format. Enterprise customers: Ipsos, Gelt, Archway. Data quality validated: 86% more accurate than human annotation. Logo at https://readyai.ai/images/logo.svg. On-chain identity has no logo_url set — using website logo.", "sources_reviewed": [ "https://readyai.ai/ (homepage, via Jina Reader, 2026-04-27)", "https://readyai.ai/pricing (pricing page, via Jina Reader, 2026-04-27)", "https://readyai.ai/docs (documentation, via Jina Reader, 2026-04-27)", "https://github.com/afterpartyai/llms_txt_store (GitHub repo)", "On-chain subnetIdentitiesV3 query for SN33" ], "assets": { "logo": "assets/sn33/logo.svg", "logo_source": "https://readyai.ai/images/logo.svg", "favicon": "assets/sn33/favicon.svg", "favicon_source": "https://readyai.ai/images/logo.svg" }, "market_data": { "mcap_tao": 29923.1, "price_tao": 0.00682265, "tao_locked": 17101.4, "alpha_in_pool": 2506564, "alpha_staked": 1879280.3, "rank": 39, "block": "8154319", "updated_at": "2026-05-10T16:19:40.746Z" }, "mcap_tao": 30603.2 }, "sn34_bitmind": { "netuid": 34, "name": "BitMind", "product": { "tagline": "AI content verification — leader in deepfake detection", "category": "Model & Agent Development", "subcategory": "AI-Generated Content Detection", "tags": [ "deepfake-detection", "ai-content-verification", "synthetic-media", "api", "enterprise-security", "chrome-extension", "mobile-app" ], "status": "live", "description": "BitMind detects AI-generated images and videos in sub-second with 95% accuracy on real-world content. Available as a REST API, Chrome extension, and mobile app (iOS & Android), with enterprise white-label solutions. Models continuously improve against new generative techniques. SOC 2 Type II compliant, zero data retention, GDPR/CCPA aligned.", "target_users": [ "enterprises verifying content authenticity", "media platforms", "social networks", "journalists", "developers building trust/safety tools" ], "use_cases": [ "Detect AI-generated images (JPEG, PNG, WebP)", "Detect AI-generated videos (frame-by-frame analysis)", "Enterprise content moderation and fraud protection", "Browser-based deepfake checking via Chrome extension", "API integration for trust and safety pipelines", "White-label deepfake detection for platforms" ] }, "pricing": { "model": "free / from $100/month", "currency": "USD", "free_tier": { "available": true, "limits": "100 API requests/month, free detection tools at bitmind.ai/detect, free Chrome extension and mobile app" }, "tiers": [ { "name": "Free", "price": "$0/month", "features": [ "100 API requests/month", "Community support", "Web detector tool", "Chrome extension", "Mobile app (iOS & Android)" ] }, { "name": "Pro", "price": "$100/month", "features": [ "10,000+ API requests/month", "Email support", "Advanced features", "Web detector tool", "Chrome extension", "Mobile app (iOS & Android)" ] }, { "name": "Custom Solutions", "price": "Custom", "features": [ "Unlimited usage", "On-premise options", "Custom SLAs and support", "Dedicated account manager", "Custom integrations", "White-label solutions", "Custom model training" ] } ], "notes": "Free tier includes web detector, Chrome extension, and mobile app. API pricing starts at $0 for 100 req/mo. Pro tier at $100/mo for 10K+ requests. Enterprise/custom solutions available.", "starts_at": "$100/month (Pro)" }, "access": { "api_available": true, "api_url": "https://app.bitmind.ai/api", "api_docs": "https://docs.bitmind.ai", "requires_auth": true, "auth_method": "api-key", "sdk": [], "playground": "https://bitmind.ai/detect" }, "links": { "website": "https://bitmind.ai", "pricing": "https://bitmind.ai/product/api", "github": "https://github.com/BitMind-AI/bitmind-subnet", "docs": "https://docs.bitmind.ai", "discord": "https://discord.gg/kKQR98CrUn", "twitter": "https://x.com/bitmind", "blog": "https://bitmind.ai/blog", "logo": "https://bitmind.ai/_next/image?url=%2Fimages%2Flogo.png&w=256&q=75" }, "on_chain": { "owner_contact": "intern@bitmind.ai", "logo_url": "https://bitmind.ai/_next/image?url=%2Fimages%2Flogo.png&w=256&q=75", "additional": "" }, "company": { "name": "BitMind Holdings Limited", "location": null, "team_size": null, "founded": null }, "data_gaps": { "unverified": [ "Exact Pro tier request limits (listed as '10,000+')" ], "inaccessible": [], "missing": [ "On-chain identity contact email", "Company founding date and location" ], "stale": [] }, "researched_at": "2026-05-06T17:00:00Z", "confidence": "high", "sources_reviewed": [ "https://bitmind.ai/ (homepage, via Jina Reader, 2026-04-27)", "https://bitmind.ai/product/api (API pricing page, via Jina Reader, 2026-04-27)", "https://bitmind.ai/product/applications (apps page, via Jina Reader, 2026-04-27)", "https://docs.bitmind.ai (docs crawled Apr 2026 — confirmed Discord: discord.gg/bitmind, email: hello@bitmind.ai, iOS/Android app links)", "https://bitmind.ai/product/custom-solutions (enterprise, via Jina Reader, 2026-04-27)", "https://app.bitmind.ai/", "https://github.com/BitMind-AI/bitmind-subnet" ], "notes": "BitMind has the most polished consumer product of this batch — full website, Chrome extension, mobile app, docs, Discord, enterprise solutions. SOC 2 Type II compliant, zero data retention, GDPR/CCPA aligned. 39 GitHub releases in 12 months (strong cadence). 100K+ monthly active users, millions of weekly detections. Company: BitMind Holdings Limited.", "assets": { "logo": "assets/sn34/logo.png", "logo_source": "https://bitmind.ai/_next/image?url=%2Fimages%2Flogo.png&w=256&q=75", "favicon": "assets/sn34/favicon.png", "favicon_source": "https://bitmind.ai/icons/favicon.png" }, "market_data": { "mcap_tao": 63320.1, "price_tao": 0.013382239, "tao_locked": 35824.5, "alpha_in_pool": 2677015.9, "alpha_staked": 2054633.1, "rank": 17, "block": "8154319", "updated_at": "2026-05-10T16:19:40.748Z" }, "mcap_tao": 65211.8 }, "sn35_oxmarkets": { "netuid": 35, "name": "OxMarkets", "product": { "tagline": "Perpetual futures DEX for FX, crypto, and commodities — up to 500x leverage", "category": "Finance", "subcategory": "Perpetual Futures DEX", "tags": [ "defi", "perpetuals", "forex", "commodities", "liquidity", "dex", "usdc" ], "status": "live", "description": "0xMarkets is a perpetual futures exchange for FX, crypto, and commodities with up to 500x leverage. Uses multi-oracle pricing from Chainlink and Pyth. Liquidity providers deposit USDC into trading vaults and earn trading fees. Audited by Hashlock with Secure rating.", "target_users": [ "Crypto traders", "Forex traders", "DeFi yield farmers", "Liquidity providers" ], "use_cases": [ "Trade perpetual futures on EUR/USD, BTC/USD, XAU/USD and more with up to 500x leverage", "Provide USDC liquidity to trading vaults and earn trading fees plus rewards", "Access permissionless trading without KYC or geographic restrictions", "Earn yield on USDC with lock periods from 30-365 days" ] }, "pricing": { "model": "variable APY by lock period", "currency": "USDC", "free_tier": { "available": false, "limits": null }, "tiers": [ { "name": "30-day Lock", "price": "Variable APY (0.29% weekly)", "features": [ "USDC deposit", "Trading fees", "ALPHA emissions" ] }, { "name": "90-day Lock", "price": "Variable APY (0.88% weekly)", "features": [ "USDC deposit", "Trading fees", "ALPHA emissions" ] }, { "name": "180-day Lock", "price": "Variable APY (1.75% weekly)", "features": [ "USDC deposit", "Trading fees", "ALPHA emissions" ] }, { "name": "365-day Lock", "price": "Variable APY (3.55% weekly)", "features": [ "USDC deposit", "Trading fees", "ALPHA emissions", "Maximum multiplier" ] } ], "notes": "Traders pay spreads and fees on trades. LPs earn 50% of all trading fees. Total TVL ~$782K. Audited by Hashlock." }, "access": { "api_available": false, "api_url": null, "api_docs": "https://docs.0xmarkets.io/", "requires_auth": false, "auth_method": "wallet", "sdk": [], "playground": "https://app.0xmarkets.io/" }, "links": { "website": "https://www.0xmarkets.io", "github": "https://github.com/General-Tao-Ventures/cartha-validator", "docs": "https://docs.0xmarkets.io/", "discord": "https://discord.gg/sZbt93ANGG", "twitter": "https://x.com/0x_Markets", "blog": null }, "on_chain": { "owner_contact": "contact@0xmarkets.io", "logo_url": "https://storage.googleapis.com/cartha-assets/cartha_logo.png", "additional": "https://x.com/0x_Markets" }, "data_gaps": { "unverified": [ "APY figures are dynamic and may change — reported at time of research", "Testnet vs mainnet status unclear — app.0xmarkets.io labeled 'Launch Testnet'" ], "inaccessible": [], "missing": [ "Trading fee schedule details", "Insurance pool size" ], "stale": [] }, "researched_at": "2026-04-28T20:05:00Z", "confidence": "high", "sources_reviewed": [ "https://bittensor.ai/subnets/35 (via Jina Reader)", "https://www.0xmarkets.io/ (via Jina Reader)" ], "notes": "Well-developed DeFi product with Hashlock security audit. Partners include Chainlink, Pyth, GeneralTensor, Vanta, and ForeverMoney. Available markets: EUR/USD, GBP/USD, USD/JPY, AUD/USD, BTC/USD, ETH/USD, TAO/USD, XAU/USD, Silver, Oil. Expanding to more asset classes. The app URL says 'Launch Testnet' which may indicate early stage.", "market_data": { "mcap_tao": 25071, "price_tao": 0.005015904, "tao_locked": 10073.6, "alpha_in_pool": 2008332.9, "alpha_staked": 2989962.8, "rank": 49, "block": "8154319", "updated_at": "2026-05-10T16:19:40.749Z" }, "assets": { "logo": "assets/sn35/logo.png", "logo_source": "https://storage.googleapis.com/cartha-assets/cartha_logo.png", "favicon": "assets/sn35/favicon.ico", "favicon_source": "https://www.0xmarkets.io/favicon.ico?favicon.11pjwyxkvewhl.ico" }, "mcap_tao": 28945.6 }, "sn37_aurelius": { "netuid": 37, "name": "Aurelius", "product": { "tagline": "Alignment infrastructure for moral reasoning in AI", "category": "Data Pipeline", "subcategory": "Alignment Dataset Generation", "tags": [ "alignment", "moral-reasoning", "AI-safety", "training-data", "simulation" ], "status": "live", "description": "Aurelius is an alignment protocol that generates training data for improving LLM performance on moral reasoning benchmarks (MoReBench). Uses an 8-stage pipeline including Concordia generative-agent simulations of ethical dilemmas. The resulting transcripts help AI systems reason more ethically.", "target_users": [ "AI researchers", "LLM developers", "AI safety organizations" ], "use_cases": [ "Generating moral reasoning training data for LLMs", "Benchmarking AI alignment on ethical dilemmas", "Running decentralized AI alignment evaluations", "Contributing to open alignment infrastructure" ] }, "pricing": { "model": "token-gated", "currency": "TAO", "free_tier": { "available": false, "limits": null }, "tiers": [ { "name": "Validator", "price": "Requires TAO stake + registered wallet on netuid 37", "features": [ "Run 8-stage evaluation pipeline", "Score miner submissions", "Earn TAO emissions" ] }, { "name": "Miner", "price": "Requires TAO registration on netuid 37 + work-token balance", "features": [ "Submit ethical scenario configs", "Earn rewards on accepted submissions", "Contribute to alignment training data" ] } ], "notes": "Research-focused platform. No consumer pricing." }, "access": { "api_available": true, "api_url": "https://new-collector-api-production.up.railway.app", "api_docs": null, "requires_auth": true, "auth_method": "wallet", "sdk": [ "python" ], "playground": null }, "links": { "website": "https://aureliusaligned.ai", "github": "https://github.com/Aurelius-Protocol/Aurelius-Protocol", "docs": "https://aureliusaligned.ai/#", "discord": null, "twitter": "https://x.com/aureliusaligned", "blog": null }, "on_chain": { "owner_contact": "aurelius.subnet@gmail.com", "logo_url": "https://raw.githubusercontent.com/Aurelius-Protocol/aurelius-whitepaper/main/aurelius_logo.png", "additional": "Aligned AI evaluation subnet. Testnet on netuid 455. Whitepaper available at https://aureliusaligned.ai/assets/pdf/Aurelius__A_Peer-to-Peer_Alignment_Protocol.pdf" }, "market_data": { "mcap_tao": 19419.7, "price_tao": 0.003811926, "tao_locked": 8489.4, "alpha_in_pool": 2227065.6, "alpha_staked": 2867394, "rank": 68, "block": "8154319", "updated_at": "2026-05-10T16:19:40.751Z" }, "sources_reviewed": [ "https://aureliusaligned.ai", "https://github.com/Aurelius-Protocol/Aurelius-Protocol" ], "data_gaps": { "unverified": [ "API endpoint availability for external consumers" ], "inaccessible": [ "Docs page (links to #)", "Discord link not found" ], "missing": [ "price_tao", "tao_locked", "alpha_in_pool", "alpha_staked", "block" ], "stale": [] }, "researched_at": "2026-04-29T15:35:00Z", "confidence": "high", "notes": "Active mainnet subnet (SN37). Docker-based deployment for validators/miners. Uses Concordia (Google DeepMind) for generative agent simulations. Validators need an OpenAI-compatible LLM API key.", "assets": { "logo": "assets/sn37/logo.png", "logo_source": "https://raw.githubusercontent.com/Aurelius-Protocol/aurelius-whitepaper/main/aurelius_logo.png", "favicon": "assets/sn37/favicon.ico", "favicon_source": "https://aureliusaligned.ai/assets/logos/favicons/favicon.ico" }, "mcap_tao": 19710.3 }, "sn39_deprecated": { "netuid": 39, "name": "Deprecated", "product": { "tagline": "Deprecated — no longer active", "category": "Misc", "subcategory": "Faultless GPU Infrastructure", "tags": [ "deprecated" ], "status": "deprecated", "description": "This product is no longer active.", "target_users": [ "N/A — project is deprecated" ], "use_cases": [] }, "pricing": { "model": "none", "currency": null, "notes": "Deprecated — no active product or pricing." }, "access": { "api_available": false }, "links": { "website": null, "github": null, "discord": "deprecated" }, "on_chain": { "owner_contact": "deprecated@gmail.com", "logo_url": "https://deprecated.png" }, "data_gaps": { "unverified": [], "inaccessible": [], "missing": [ "No public information available — subnet is deprecated" ] }, "researched_at": "2026-04-26T20:36:00Z", "confidence": "high", "notes": "Subnet 39 appears in market cap rankings as deprecated. No active product, team, or codebase found.", "sources_reviewed": [ "https://taostats.io/subnets/39 (on-chain data)" ], "market_data": { "mcap_tao": 32941.3, "price_tao": 0.006449257, "tao_locked": 16827.7, "alpha_in_pool": 2609249.5, "alpha_staked": 2498519.9, "rank": 35, "block": "8154319", "updated_at": "2026-05-10T16:19:40.751Z" }, "mcap_tao": 32641.2 }, "sn40_chunking": { "netuid": 40, "name": "Chunking", "product": { "tagline": "Intelligent text segmentation for RAG systems", "category": "Data Pipeline", "subcategory": "Text Chunking", "tags": [ "chunking", "RAG", "text-segmentation", "NLP", "document-processing" ], "status": "live", "description": "Chunking provides intelligent text segmentation for Retrieval-Augmented Generation (RAG) systems. Smart chunking algorithms split documents into optimal pieces for AI search and retrieval, maximizing relevance and coherence for downstream AI applications.", "target_users": [ "AI developers", "RAG system builders", "enterprise search teams", "LLM application developers" ], "use_cases": [ "Document preprocessing for RAG pipelines", "Intelligent text segmentation for vector databases", "Knowledge base chunking for AI assistants", "Search optimization through optimal document splitting" ] }, "pricing": { "model": "open-source", "currency": null, "free_tier": { "available": true, "limits": "Open to miners and validators to participate" }, "tiers": [], "notes": "No direct API pricing found." }, "access": { "api_available": false, "api_url": null, "api_docs": null, "requires_auth": false, "auth_method": null, "sdk": [ "bittensor" ], "playground": null }, "links": { "website": null, "github": "https://github.com/airpdev/chunk", "docs": null, "discord": null, "twitter": null, "blog": null }, "on_chain": { "owner_contact": null, "logo_url": null, "additional": "On-chain identity: Hebrew letter Nun (ן), registered Sep 4, 2025. Original GitHub VectorChat/chunking_subnet is now 404; repo moved to chunking-ai org." }, "market_data": { "mcap_tao": 17728.3, "price_tao": 0.003469281, "tao_locked": 7131.1, "alpha_in_pool": 2055500.4, "alpha_staked": 3054591.6, "rank": 79, "block": "8154319", "updated_at": "2026-05-10T16:19:40.752Z" }, "sources_reviewed": [ "https://subnetradar.com/subnet/40", "https://bittensor.ai/subnets/40", "https://github.com/chunking-ai/chunking-subnet (404)", "https://github.com/VectorChat/chunking_subnet (404)" ], "data_gaps": { "unverified": [ "alpha_staked is estimated from (mcap_tao/price_tao) - alpha_in_pool" ], "inaccessible": [ "GitHub README (both VectorChat and chunking-ai repos return 404)", "No website found", "GitHub repos (chunking-ai/chunking-subnet and VectorChat/chunking) both return 404 as of 2026-05-02" ], "missing": [ "API endpoint", "Discord", "Twitter", "Docs URL", "No product website found — no Discord channel, no on-chain URL, GitHub repos deleted" ], "stale": [ "SubnetRadar reports last GitHub commit 5/29/2025 — project appears inactive as of Apr 2026" ] }, "researched_at": "2026-04-29T15:50:00.000Z", "confidence": "medium", "notes": "GitHub repos 404 — original VectorChat/chunking_subnet repo deleted/moved; SubnetRadar identifies new org as chunking-ai. SubnetRadar health: 48/100, inactive (0 commits in 30d). On bittensor.ai the on-chain identity shows 'Subnet 40 / Nun' registered Sep 2025. Emission rank #88. 0 miners per bittensor.ai; SubnetRadar shows full slot saturation (256/256) suggesting data discrepancy.", "assets": { "favicon": "assets/sn40/favicon.png" }, "mcap_tao": 17464.9 }, "sn41_almanac": { "netuid": 41, "name": "Almanac", "product": { "tagline": "Sports and event prediction market trading", "category": "Predictive Systems", "subcategory": "Sports Predictions", "tags": [ "sports-prediction", "prediction-market", "polymarket", "trading-signals", "sports-analytics" ], "status": "live", "description": "Almanac (formerly Sportstensor) is a prediction trading platform for sports and event markets. Trade on event outcomes through a Polymarket-connected interface and compete on prediction accuracy, ROI, and trading volume.", "target_users": [ "Quantitative traders", "Sports analysts", "Prediction market traders", "Data scientists" ], "use_cases": [ "Trade on Polymarket events through the Almanac interface", "Access prediction markets without geographic restrictions", "Deploy algorithmic prediction models and track accuracy via transparent scoring", "Get sports and event prediction signals powered by competitive AI models" ] }, "pricing": { "model": "free", "currency": null, "free_tier": { "available": true, "limits": "Free to participate — miners earn based on trading performance" }, "tiers": [], "notes": "No subscription fees. Free to trade on the platform." }, "access": { "api_available": false, "api_url": null, "api_docs": null, "requires_auth": true, "auth_method": "wallet", "sdk": [], "playground": "https://almanac.market/" }, "links": { "website": "https://almanac.market", "github": "https://github.com/sportstensor/sn41", "docs": null, "discord": null, "twitter": null, "blog": null }, "on_chain": { "owner_contact": null, "logo_url": "https://beta.almanac.market/assets/favicons/favicon-32x32.png", "additional": "Incentivized market intelligence." }, "data_gaps": { "unverified": [ "Polymarket integration details" ], "inaccessible": [ "almanac.market not fetched — may have additional product/pricing info" ], "missing": [ "Discord link", "Twitter account", "Detailed documentation", "Contact information" ], "stale": [] }, "researched_at": "2026-04-28T20:07:00Z", "confidence": "medium", "sources_reviewed": [ "https://bittensor.ai/subnets/41 (via Jina Reader)" ], "notes": "Active subnet with 39 miners. Two-phase optimization scoring: Phase 1 maximizes qualified volume, Phase 2 redistributes to favor higher-ROI traders. Scoring updates hourly. Uses Polymarket as the underlying prediction market. Model-agnostic — any strategy approach works.", "market_data": { "mcap_tao": 28981.3, "price_tao": 0.006122604, "tao_locked": 13445.7, "alpha_in_pool": 2196082.5, "alpha_staked": 2537410, "rank": 41, "block": "8154319", "updated_at": "2026-05-10T16:19:40.753Z" }, "assets": { "logo": "assets/sn41/logo.png", "logo_source": "https://beta.almanac.market/assets/favicons/favicon-32x32.png", "favicon": "assets/sn41/favicon.png", "favicon_source": "https://almanac.market/favicons/150x150.png" }, "mcap_tao": 24923.7 }, "sn42_unknown": { "netuid": 42, "name": "Unknown", "product": { "tagline": "Real-time web data scraping for AI applications", "category": "Data Pipeline", "subcategory": "Data Scraping", "tags": [ "data-scraping", "real-time-data", "twitter", "web-data", "masa", "AI-data-supply" ], "status": "live", "description": "Masa's Gopher network provides real-time data scraping, primarily extracting trending tweets from X (Twitter). High-quality, fresh data feeds downstream AI applications including LLM training and analytics. Data may be available through the Masa SDK/API at developers.masa.ai.", "target_users": [ "AI developers needing real-time data", "social media analytics companies", "AI agent builders", "research teams" ], "use_cases": [ "Real-time Twitter/X data extraction", "Trending topic monitoring", "Social media data feeds for AI training", "Live data supply for AI agents (feeds into Masa network 59)" ] }, "pricing": { "model": "unknown", "currency": null, "free_tier": { "available": false, "limits": null }, "tiers": [], "notes": "Developer documentation at developers.masa.ai. No explicit pricing found for data access." }, "access": { "api_available": true, "api_url": null, "api_docs": "https://developers.masa.ai/docs/masa-subnet/welcome", "requires_auth": false, "auth_method": null, "sdk": [ "bittensor", "masa-sdk" ], "playground": null }, "links": { "website": "https://gopher-ai.com", "github": "https://github.com/masa-finance/masa-bittensor", "docs": null, "discord": null, "twitter": null, "blog": null }, "on_chain": { "owner_contact": "5EC5HHfLqgmr8cdt2MAW5nJMG9n3jKF1QhZb1gYTgiJGNMo5", "logo_url": null, "additional": "On-chain identity: Hebrew letter Samekh (ס), branded 'Unknown'. Registered Sep 20, 2024. TVL 17,953τ. SubnetRadar shows no public GitHub for current operator — masa-finance/masa-bittensor may be stale or the current owner is different." }, "market_data": { "mcap_tao": 17603.3, "price_tao": 0.003724856, "tao_locked": 8996.1, "alpha_in_pool": 2415166.6, "alpha_staked": 2310739.1, "rank": 80, "block": "8154319", "updated_at": "2026-05-10T16:19:40.757Z" }, "sources_reviewed": [ "https://bittensor.ai/subnets/42", "https://subnetradar.com/subnet/42", "https://github.com/masa-finance/masa-bittensor", "https://raw.githubusercontent.com/masa-finance/masa-bittensor/main/README.md" ], "data_gaps": { "unverified": [ "alpha_staked estimated from (mcap_tao/price_tao) - alpha_in_pool", "Current subnet owner vs Masa Finance not confirmed — on-chain owner address not verified against Masa", "masa.ai website not fetched directly" ], "inaccessible": [ "Discord link not found", "Twitter not confirmed", "gopher-ai.com returns 402 Payment Required (hosting unpaid, as of 2026-05-10)" ], "missing": [ "Current operator confirmed identity", "Pricing page" ], "stale": [ "masa-finance/masa-bittensor README may be outdated; SubnetRadar shows 'No Public Repository' for current operator" ] }, "researched_at": "2026-04-29T15:50:00.000Z", "confidence": "medium", "notes": "On-chain identity says 'Unknown' but SubnetRadar identifies as 'Gopher (Masa)'. The masa-finance/masa-bittensor GitHub README explicitly states 'subnet #42 on mainnet'. However, SubnetRadar reports 'No Public Repository' suggesting the current operator may differ from original Masa team. Registered Sep 20, 2024 (1y 7mo ago). SubnetRadar shows 192 miners vs bittensor.ai showing 0 miners — data discrepancy, likely real-time vs cached. High Vol/MCap (1985%) suggests active trading. Emission rank #90.", "assets": { "favicon": "assets/sn42/favicon.png" }, "mcap_tao": 17225.2 }, "sn43_graphite": { "netuid": 43, "name": "Graphite", "product": { "tagline": "AI-powered portfolio optimization and copy trading", "category": "Finance", "subcategory": "Portfolio Optimization", "tags": [ "graph-optimization", "tsp", "portfolio-management", "defi", "taotrader", "copy-trading", "optimization" ], "status": "live", "description": "Graphite powers TaoTrader (taotrader.xyz), a live copy-trading platform where users follow top-performing portfolio allocation strategies. AI agents continuously optimize portfolio rebalancing across assets.", "target_users": [ "dTAO/the network investors wanting algorithmic portfolio strategies", "Traders wanting to copy-trade top performers via TaoTrader", "Algorithm developers building portfolio optimization solutions", "operators with quantitative/optimization expertise" ], "use_cases": [ "Copy-trade top-performing portfolio allocation strategies via TaoTrader", "Optimize dTAO portfolio allocation across decentralized network", "Earn rewards as a Leader by sharing trading strategies", "Access enterprise API for graph optimization workloads" ] }, "pricing": { "model": "unknown", "currency": null, "notes": "TaoTrader app (taotrader.xyz) appears free to use. Enterprise API mentioned in roadmap." }, "access": { "api_available": true, "api_url": null, "api_docs": "https://github.com/GraphiteAI/Graphite-Subnet/blob/main/docs", "requires_auth": false, "playground": "https://taotrader.xyz", "visualiser": "https://graphite-ai.net/visualiser", "prodnet": "https://prodnet.graphite-ai.net/" }, "links": { "website": "https://graphite-ai.net", "github": "https://github.com/GraphiteAI/Graphite-Subnet", "docs": "https://github.com/GraphiteAI/Graphite-Subnet/blob/main/docs", "discord": "https://discord.com/invite/bittensor", "twitter": "https://x.com/GraphiteSubnet", "blog": null }, "on_chain": { "owner_contact": "team@graphite-ai.net", "logo_url": null, "additional": "Hebrew letter Ayin (ע), SN 43. Registered September 5, 2025." }, "related_products": [ { "name": "TaoTrader", "url": "https://taotrader.xyz", "description": "Leader-copy trading platform powered by Graphite's portfolio optimization. Live on mainnet as of June 2025." } ], "data_gaps": { "unverified": [ "Current active status of TSP tasks vs portfolio reallocation tasks", "TaoTrader revenue model and fees" ], "inaccessible": [], "missing": [ "Enterprise API pricing", "Team member names", "TaoTrader trading fees/pricing" ] }, "researched_at": "2026-05-06T17:00:00Z", "confidence": "medium", "notes": "Originally focused on NP-hard graph problems (TSP variants). Pivoted to portfolio reallocation optimization in 2025, with TaoTrader launched on mainnet June 11, 2025. Leader-copy trading: miners register as Leaders and build track records; followers copy their strategies. Validators now score real portfolios, not synthetic data. Only 1 active miner as of Apr 26 2026 — may be in transition. High registration cost $125.28. Market cap $3.8M, TVL $7.6M. No Discord channel found in Bittensor Discord for SN43/Graphite.", "sources_reviewed": [ "https://subnetalpha.ai/subnet/graphite/ (detailed analysis, via Jina Reader)", "https://bittensor.ai/subnets/43 (on-chain data)", "https://github.com/GraphiteAI/Graphite-Subnet (GitHub)", "https://taostats.io/subnets/43 (confirms name Graphite)", "Discord message archive (no channel found)", "https://graphite-ai.net (website crawled Apr 2026 — confirmed: Path Visualiser at /visualiser, Prodnet at prodnet.graphite-ai.net, Services page at /services, Login at /login, Discord channel in Bittensor server)" ], "assets": { "favicon": "assets/sn43/favicon.png", "favicon_source": "https://graphite-ai.net/logo3.png" }, "market_data": { "mcap_tao": 30287.4, "price_tao": 0.005978488, "tao_locked": 15094.1, "alpha_in_pool": 2524731.8, "alpha_staked": 2541331.6, "rank": 36, "block": "8154319", "updated_at": "2026-05-10T16:19:40.761Z" }, "mcap_tao": 30791.8 }, "sn44_score": { "netuid": 44, "name": "Score", "product": { "tagline": "Making every camera intelligent — computer vision from a text prompt", "category": "Model & Agent Development", "subcategory": "Visual Intelligence and Computer Vision", "tags": [ "computer-vision", "video-analysis", "sports-analytics", "ai", "bittensor", "vision-ai" ], "status": "live", "description": "Score builds a growing library of programmable 'vision skills' that turn cameras into intelligent systems. The Manako application layer lets users go from a text prompt to a working vision system. Score processes over 650,000 hours of video with paid partnerships in sports, agriculture, retail, and automotive. The decentralized network continuously creates, evaluates, and improves vision skills — making computer vision accessible without coding. Competitive challenges run on console.scorevision.io with live model performance metrics.", "target_users": [ "Sports analytics companies", "Broadcasters", "Betting operators", "Retailers", "Agricultural businesses", "Robotics developers", "Computer vision teams" ], "use_cases": [ "Real-time football match analysis and game state recognition", "Manufacturing quality monitoring via camera feeds", "Agricultural drone-based crop disease detection", "Retail forecourt and in-store operational intelligence", "Building custom vision systems via Manako (prompt-to-vision)" ] }, "pricing": { "model": "free", "currency": null, "free_tier": { "available": null, "limits": null }, "tiers": [], "notes": "Manako platform (console.scorevision.io) hosts public and private computer vision challenges." }, "access": { "api_available": true, "api_url": "https://console.scorevision.io", "api_docs": null, "requires_auth": true, "auth_method": null, "sdk": [], "playground": "https://console.scorevision.io" }, "links": { "website": "https://www.wearescore.com", "github": "https://github.com/score-technologies/score-vision", "docs": null, "discord": null, "twitter": "https://x.com/webuildscore", "blog": "https://medium.com/wearescore" }, "on_chain": { "owner_contact": "hello@wearescore.com", "logo_url": "https://www.wearescore.com/android-chrome-512x512.png", "additional": "Making every camera intelligent. Computer vision framework for video analysis with initial focus on sports, expanding to manufacturing, retail, agriculture, and robotics." }, "data_gaps": { "unverified": [ "API pricing for integration partners", "Partnership deal terms with AVIA, Reading FC, Two-a-Day, Lavance" ], "inaccessible": [ "https://www.wearescore.com/pricing — no pricing page found", "https://www.wearescore.com/docs — no docs link found", "https://www.wearescore.com/about — not reviewed", "https://console.scorevision.io — requires auth", "https://manako.ai — not reviewed" ], "missing": [ "Discord server link", "Pricing for Manako or Score Vision API", "SDK documentation", "API endpoint documentation" ], "stale": [ "Roadmap Phase 2/3 milestones listed for 2025 — Phase 2 deployed Jan 2025" ] }, "sources_reviewed": [ "https://www.wearescore.com/ (homepage)", "https://raw.githubusercontent.com/score-technologies/score-vision/main/README.md", "https://medium.com/wearescore/score-deep-dive-from-vision-to-winning-c9d6b4b7de7e (third-party)", "https://asymmetricjump.substack.com/p/score-vision-turning-football-into (third-party)", "https://subnetalpha.ai (search result)", "Discord message archive (ף・score・44)", "https://console.scorevision.io (Manako dashboard)" ], "researched_at": "2026-05-06T17:00:00Z", "confidence": "high", "notes": "Score Vision mainnet launched on netuid 44 in January 2025. The project was initially called Score Technologies and focuses on computer vision starting with football (SoccerNet Game State Recognition challenge). The system uses GS-HOTA metrics and reduces annotation costs by 10x-100x versus manual methods. Current ecosystem partners: Manako (application layer, build with vision), AVIA (fuel/retail), Two-a-Day (agriculture/food), Lavance (automotive), Reading FC (football club), Mettle (sports analytics), Sire (prediction markets AI agent). Market claims: 500B+ hours of video recorded daily, 150B+ addressable cameras globally, $150B+ addressable market. Manako platform at console.scorevision.io hosts CV competitions. Active skills (as of May 2026): DetectFootballEvent (private/football), Detect petrol station, Detect number plates, Detect beverage detect, Detect crime, Detect-vehicle (complete), Detect-Person (complete). Miners deploy via Chutes. Process: skill announcement -> starter pack -> launch 24-72h later. turbo.scoredata.me hosts manifests and responses.", "assets": { "logo": "assets/sn44/logo.png", "logo_source": "https://www.wearescore.com/android-chrome-512x512.png", "favicon": "assets/sn44/favicon.ico", "favicon_source": "https://www.wearescore.com/favicon.ico" }, "market_data": { "mcap_tao": 213692.5, "price_tao": 0.043246564, "tao_locked": 65077, "alpha_in_pool": 1504790.5, "alpha_staked": 3436468, "rank": 4, "block": "8154319", "updated_at": "2026-05-10T16:19:40.764Z" }, "mcap_tao": 170546.8 }, "sn45_talisman_ai": { "netuid": 45, "name": "Talisman AI", "product": { "tagline": "Real-time crypto sentiment and alpha signals", "category": "Predictive Systems", "subcategory": "Crypto Sentiment Analysis", "tags": [ "sentiment-analysis", "social-media", "bittensor", "trading-signals", "on-chain-analytics", "wallet-integration", "LLM", "X/Twitter" ], "status": "live", "description": "Talisman AI is the perception layer of an AI financial reasoning agent built in collaboration with Talisman wallet. Analyzes social media (currently X/Twitter) for crypto-relevant posts, classifying relevance, sentiment, and content type. Integration with Talisman wallet provides direct access to sentiment-driven insights.", "target_users": [ "Crypto investors", "TAO holders", "Talisman wallet users", "Crypto traders seeking sentiment-based signals" ], "use_cases": [ "Real-time social sentiment tracking for crypto assets", "Alpha signal generation for crypto trading decisions", "Automated staking and trading recommendations in Talisman wallet", "Crypto ecosystem monitoring and alerting via X/Twitter analysis" ] }, "pricing": { "model": "unknown", "currency": null, "free_tier": { "available": false, "limits": null }, "tiers": [], "notes": "No external consumer pricing published. Integration with Talisman wallet is the primary distribution channel." }, "access": { "api_available": true, "api_url": null, "api_docs": null, "requires_auth": true, "auth_method": "API key / whitelist (coordination API server)", "sdk": [ "Python (pip install)" ], "playground": null }, "links": { "website": "https://ai.talisman.xyz", "github": "https://github.com/Team-Rizzo/talisman-ai", "docs": null, "discord": null, "twitter": "https://x.com/frankrizz07", "blog": "https://rizzo.network" }, "on_chain": { "owner_contact": "tai@rizzo.network", "logo_url": "https://styles.redditmedia.com/t5_53lwgb/styles/communityIcon_vb7hazik5aqf1.jpg", "additional": "Built by Team Rizzo in collaboration with Talisman wallet (talisman.xyz). SN45 is the perception/data layer; reasoning and action layers are separate." }, "market_data": { "mcap_tao": 18229.3, "price_tao": 0.003783975, "tao_locked": 7795, "alpha_in_pool": 2060008.2, "alpha_staked": 2757493.4, "rank": 77, "block": "8154319", "updated_at": "2026-05-10T16:19:40.765Z" }, "sources_reviewed": [ "https://ai.talisman.xyz", "https://raw.githubusercontent.com/Team-Rizzo/talisman-ai/main/README.md" ], "data_gaps": { "unverified": [ "whether ai.talisman.xyz has dedicated subnet content vs. redirect to talisman.xyz main site", "Phase 2 and Phase 3 timelines" ], "inaccessible": [ "ai.talisman.xyz rendered as talisman.xyz main landing page (SPA redirect likely)" ], "missing": [ "Discord link", "Twitter/X handle for subnet", "API documentation URL", "coordination API base URL" ], "stale": [] }, "researched_at": "2026-04-29T15:38:00Z", "confidence": "high", "notes": "GitHub README is detailed and up-to-date (V3 architecture). ai.talisman.xyz appears to redirect to main talisman.xyz site rather than subnet-specific content. The subnet is clearly live (Phase 1 active) with a well-defined 3-phase roadmap. Team Rizzo appears to be the subnet developer working under the Talisman brand.", "assets": { "logo": "assets/sn45/logo.jpg", "logo_source": "https://styles.redditmedia.com/t5_53lwgb/styles/communityIcon_vb7hazik5aqf1.jpg", "favicon": "assets/sn45/favicon.png", "favicon_source": "https://ai.talisman.xyz/apple-touch-icon.png?v=20251125" }, "mcap_tao": 19910.6 }, "sn46_resi": { "netuid": 46, "name": "RESI", "product": { "tagline": "The Real Estate Oracle — institutional-grade property price predictions", "category": "Predictive Systems", "subcategory": "Real Estate Price Prediction", "tags": [ "real-estate", "property-data", "price-prediction", "proptech", "oracle" ], "status": "live", "description": "RESI provides institutional-grade predictive intelligence for PropTech. AI models predict US residential property prices with reported $15K in all-time revenue from selling predictive data. Dashboard with API products (Dashboard API, Prediction Market API, Appraisals API) is live at dashboard.resilabs.ai.", "target_users": [ "Real estate investors", "PropTech companies", "DeFi protocols needing property price feeds", "Real estate data analysts" ], "use_cases": [ "Access nationwide property price predictions", "Get real estate price feeds for DeFi applications", "Analyze property market trends with AI-powered models", "Benchmark ML models against real estate ground-truth data" ] }, "pricing": { "model": "unknown", "currency": null, "free_tier": { "available": false, "limits": null }, "tiers": [], "notes": "Dashboard is live at dashboard.resilabs.ai. API products listed as 'Coming Soon' on the website." }, "access": { "api_available": true, "api_url": null, "api_docs": "https://docs.resilabs.ai/", "requires_auth": true, "auth_method": null, "sdk": [], "playground": "https://dashboard.resilabs.ai/" }, "links": { "website": "https://resilabs.ai", "github": "https://github.com/resi-labs-ai/RESI-models", "docs": "https://docs.resilabs.ai/", "discord": "https://discord.gg/fpDQ6tHEXb", "twitter": "https://x.com/resilabsai", "blog": null }, "on_chain": { "owner_contact": "support@resilabs.ai", "logo_url": "https://resi-public.nyc3.cdn.digitaloceanspaces.com/color_3_r.png", "additional": "Real Estate Super Intelligence" }, "data_gaps": { "unverified": [ "Dashboard functionality and data coverage — dashboard.resilabs.ai requires login", "$15K all-time revenue figure (from Discord, not independently verified)" ], "inaccessible": [ "Dashboard API, Prediction Market API, and Appraisals API all marked 'Coming Soon'" ], "missing": [ "Pricing information", "API documentation details", "SDK availability" ], "stale": [] }, "researched_at": "2026-05-01T22:30:00Z", "confidence": "medium", "sources_reviewed": [ "https://bittensor.ai/subnets/46 (via Jina Reader)", "https://resilabs.ai/ (via Jina Reader)" ], "notes": "Discord (Apr 2026): Portal launching \"next week\" (from Apr 10). Revenue: $15K all-time, mostly from selling predictive data. Image support being added to data pipeline. Team (sebyverse, sprmeep) actively responds in Discord. \"98\" compliance score mentioned excitedly. Dashboard is functional for viewing daily data.", "market_data": { "mcap_tao": 45563.4, "price_tao": 0.009428434, "tao_locked": 12585.4, "alpha_in_pool": 1334836.3, "alpha_staked": 3497717.6, "rank": 27, "block": "8154319", "updated_at": "2026-05-10T16:19:40.766Z" }, "assets": { "logo": "assets/sn46/logo.png", "logo_source": "https://resi-public.nyc3.cdn.digitaloceanspaces.com/color_3_r.png", "favicon": "assets/sn46/favicon.ico", "favicon_source": "https://www.resilabs.ai/favicon.ico" }, "mcap_tao": 31209.2 }, "sn48_quantum_compute": { "netuid": 48, "name": "Quantum Compute", "product": { "tagline": "Access real quantum computers via the cloud", "category": "Compute & Infrastructure", "subcategory": "Advanced Quantum Computing Network", "tags": [ "quantum-computing", "qpu", "openqasm", "quantum-circuits", "marketplace" ], "status": "live", "description": "Quantum Compute provides access to real quantum processing units (QPUs) via OpenQASM circuits. Execute jobs on hardware from providers like Alpine Quantum Technologies (Ibex-Q1 quantum computer). Free base-level access available with premium features for advanced workloads.", "target_users": [ "Quantum computing researchers", "Quantum algorithm developers", "Academic institutions", "Enterprise quantum computing users" ], "use_cases": [ "Execute quantum circuits on real QPUs via decentralized network", "Access expensive quantum hardware without direct partnerships", "Run gate-based quantum computations using OpenQASM 2.0/3.0", "Benchmark quantum algorithms across multiple QPU providers" ] }, "pricing": { "model": "freemium", "currency": "USD", "free_tier": { "available": true, "limits": "Free base-level quantum computing access" }, "tiers": [ { "name": "Premium", "price": "Unknown", "features": [ "Priority execution", "Increased shot limits" ] } ], "notes": "Free base-level access available. Premium features mentioned but pricing not publicly documented." }, "access": { "api_available": true, "api_url": null, "api_docs": null, "requires_auth": true, "auth_method": null, "sdk": [], "playground": null }, "links": { "website": "https://www.qbittensorlabs.com", "github": "https://github.com/qbittensor-labs/quantum-compute", "docs": null, "discord": "qbittensorlabs", "twitter": null, "blog": null }, "on_chain": { "owner_contact": "qbittensorlabs@gmail.com", "logo_url": "https://qbittensorlabs.com/48.png", "additional": "Quantum Computing" }, "data_gaps": { "unverified": [ "Alpine Quantum Technologies partnership — confirmed in Discord by team, not on website" ], "inaccessible": [ "qbittensorlabs.com website not fetched — may have additional product details" ], "missing": [ "Detailed pricing for premium tier", "API documentation", "SDK availability", "Discord link" ], "stale": [ "Last GitHub commit 61 days ago — development may be slow" ] }, "researched_at": "2026-05-01T22:30:00Z", "confidence": "medium", "sources_reviewed": [ "https://bittensor.ai/subnets/48 (via Jina Reader)" ], "notes": "Discord (Mar 2026): \"Not dead — recently onboarded Alpine Quantum Technologies as an additional miner\" (sir_entangled). Ibex-Q1 quantum computer accessible. Cost-based incentive structure in v1.1.0. Biweekly QBTLL livestreams on Twitter. Same team as SN63 Enigma (qBitTensor Labs). Community jokes about cracking Satoshi wallet with quantum compute.", "market_data": { "mcap_tao": 25813, "price_tao": 0.005351564, "tao_locked": 11696.7, "alpha_in_pool": 2185652.9, "alpha_staked": 2637788.3, "rank": 48, "block": "8154319", "updated_at": "2026-05-10T16:19:40.766Z" }, "assets": { "logo": "assets/sn48/logo.png", "logo_source": "https://qbittensorlabs.com/48.png", "favicon": "assets/sn48/favicon.png", "favicon_source": "https://www.qbittensorlabs.com/apple-touch-icon.png" }, "mcap_tao": 25943.2 }, "sn50_synth": { "netuid": 50, "name": "Synth", "product": { "tagline": "Predictive intelligence for financial markets and beyond", "category": "Predictive Systems", "subcategory": "Synthetic Data and Predictions", "tags": [ "prediction", "finance", "price-forecasting", "probabilistic", "markets", "oracle" ], "status": "live", "description": "Synth delivers probabilistic price forecasts for BTC, ETH, SOL, XAU, XRP, HYPE, SPY, NVDA, TSLA, AAPL, GOOGL, and WTIOIL on 1-hour and 24-hour timeframes. AI models generate 1,000 ensemble simulations per asset, scored against Pyth Oracle realized prices. Built for prediction markets, options pricing, risk management, and portfolio construction. Dashboards for volatility, options, and liquidation probabilities.", "target_users": [ "Quantitative analysts and quant teams", "Prediction market traders", "Options traders and platforms", "Perpetual DEXs and lending protocols", "Algorithmic traders and AI agents", "Enterprise risk management teams" ], "use_cases": [ "Probabilistic price forecasting across 12 assets (crypto, equities, commodities)", "Forecasted probabilities for prediction market UP/DOWN/RANGE outcomes", "Option pricing via Monte Carlo simulations", "Liquidation probability forecasts for lending protocols", "Training proprietary AI models on synthetic price data", "Portfolio management and risk assessment" ] }, "pricing": { "model": "free / from $49/month", "currency": "USD", "tiers": [ { "name": "Free", "price": "Free", "features": [ "Volatility Dashboard" ] }, { "name": "Standard", "price": "$49/mo", "features": [ "Volatility Dashboard", "0DTE Options Pricing", "Liquidity Provision", "Liquidation Probabilities", "API access (100 calls, one-time)" ] }, { "name": "Pro", "price": "$199/mo", "features": [ "Everything in Standard", "Polymarket Predictions", "Limitless Predictions", "API access (20,000 calls/month)", "15-min Claude/OpenClaw integration call" ] }, { "name": "Pro Unlimited", "price": "$499/mo", "features": [ "Everything in Pro", "API access (1M calls/month)", "15-min Claude/OpenClaw integration call" ] } ], "free_tier": { "available": true, "limits": "Volatility Dashboard only, no API access" }, "starts_at": "$49/mo", "notes": "4-tier pricing: Free → $499/mo. Dashboards for volatility, options, liquidation probabilities. API access scales with tier." }, "access": { "api_available": true, "api_url": "https://api.synthdata.co", "api_docs": "https://api.synthdata.co/docs", "requires_auth": true, "sdk": [ "python", "REST API" ] }, "links": { "website": "https://synthdata.co", "github": "https://github.com/synthdataco/synth-subnet", "docs": "https://api.synthdata.co/docs", "discord": "https://discord.gg/gnt8sFMdg6", "twitter": null, "blog": null, "whitepaper": "https://github.com/synthdataco/synth-subnet/blob/main/Synth%20Whitepaper%20v1.pdf" }, "on_chain": { "owner_contact": null, "logo_url": "https://taostats.io/images/subnets/50.webp?w=96&q=75", "additional": "Predictive intelligence for financial markets and beyond. Operated by mode-network / synthdataco." }, "data_gaps": { "unverified": [], "inaccessible": [], "missing": [ "Twitter/X account" ] }, "researched_at": "2026-05-06T17:00:00Z", "confidence": "high", "notes": "Registered Oct 28, 2025. Very active development: 11 commits/30d, last commit 3 days ago, 5 recent releases (v1.8.3 Apr 23 2026). 234 active miners. 10 contributors. Assets covered: BTC, ETH, SOL, XAU, tokenized equities. Scores use CRPS, 10-day rolling average, softmax beta=0.1. Emissions split 50% to 1h predictions and 50% to 24h. High registration cost ($200.71) vs other subnets. GitHub: synthdataco/synth-subnet (Python, MIT). Discord shows: unlimited API subscription available (user reported WebSocket issue), Stillcore Capital invested in Synth (announced Apr 9 2026), meta model updated to improve insights API for traders.", "sources_reviewed": [ "https://bittensor.ai/subnets/50 (on-chain data and auto-generated description)", "https://github.com/synthdataco/synth-subnet (GitHub)", "Discord message archive (ש・synth・50)", "https://synthdata.co (website — crawled via Jina Reader)", "https://api.synthdata.co/docs (API documentation — crawled via Jina Reader)" ], "assets": { "favicon": "assets/sn50/favicon.png", "favicon_source": "https://cdn.prod.website-files.com/684a96f85a849a55a8b4e2e9/684c7e86ed8b566bd6634499_webclip-synth-256x256.png" }, "market_data": { "mcap_tao": 41127.2, "price_tao": 0.008633176, "tao_locked": 14326.4, "alpha_in_pool": 1659463.5, "alpha_staked": 3104387.4, "rank": 29, "block": "8154319", "updated_at": "2026-05-10T16:19:40.770Z" }, "mcap_tao": 42249.4 }, "sn51_lium": { "netuid": 51, "name": "Lium", "product": { "tagline": "Peer-to-peer GPU rental marketplace", "category": "Compute & Infrastructure", "subcategory": "GPU Rental Marketplace", "tags": [ "gpu", "compute", "decentralized", "cloud", "marketplace", "rental" ], "status": "live", "description": "Lium is a peer-to-peer GPU rental marketplace. Browse and rent GPU pods for model training, inference, and batch processing. Pods include CPU, memory, storage, and network bandwidth. Pay with credit card. Manage pods via the lium-cli command line tool (`pip install lium`).", "target_users": [ "AI developers", "ML researchers", "Data scientists", "Compute renters" ], "use_cases": [ "Rent GPU pods for ML model training (from $0.17/hr for RTX 4090)", "Run AI inference workloads on demand", "Batch processing and data analysis on rented GPU pods", "Manage pods via lium-cli with SSH access and pay by credit card" ] }, "pricing": { "model": "from $0.17/hour (RTX 4090)", "currency": "USD", "free_tier": { "available": false, "limits": "Free account registration; billing starts when you rent a pod" }, "tiers": [ { "name": "RTX 4090 (1x)", "price": "$0.17–$0.27/hour", "features": [ "24GB VRAM", "Consumer GPU", "Good for inference & fine-tuning" ] }, { "name": "RTX 5090 (1x)", "price": "$0.38/hour", "features": [ "32GB VRAM", "Latest consumer GPU" ] }, { "name": "RTX 6000 Ada (2x)", "price": "$0.70/hour", "features": [ "48GB VRAM per GPU", "Workstation-class" ] }, { "name": "A100 SXM4 80GB (8x)", "price": "$6.00–$7.60/hour", "features": [ "80GB VRAM per GPU", "NVLink interconnect", "Ideal for large training runs" ] }, { "name": "H200 (8x)", "price": "$23.92/hour", "features": [ "141GB HBM3e per GPU", "Next-gen datacenter GPU" ] }, { "name": "B200 (8x)", "price": "$31.92/hour", "features": [ "192GB HBM3e per GPU", "Blackwell architecture", "Top-tier" ] } ], "notes": "Dynamic marketplace — prices set per-pod by providers. Pods include CPU, memory, storage, and network bandwidth. Payment via credit card. CLI: `pip install lium`.", "starts_at": "$0.17/hour (RTX 4090)" }, "access": { "api_available": true, "api_url": null, "api_docs": "https://docs.lium.io", "requires_auth": true, "auth_method": "api-key", "sdk": [ "python" ], "playground": "https://lium.io" }, "links": { "website": "https://lium.io", "github": "https://github.com/Datura-ai/lium-io", "docs": "https://docs.lium.io", "discord": "https://discord.com/channels/799672011265015819/1291754566957928469", "twitter": null, "blog": null }, "on_chain": { "owner_contact": null, "logo_url": "https://raw.githubusercontent.com/Datura-ai/lium-logos/refs/heads/main/Celium_Icon_FullColor.png", "additional": "Revolutionizing the democratization of compute. Powered by Bittensor Subnet 51." }, "data_gaps": { "unverified": [ "Specific per-GPU hourly pricing — marketplace dynamic, not publicly listed" ], "inaccessible": [ "https://lium.io/pricing — returned 404", "https://lium.io/about — not found", "https://lium.io/blog — not found" ], "missing": [ "Twitter/X account not found", "Specific GPU model pricing table", "Free tier or trial information", "Company founding date or team info", "Contact email" ], "stale": [] }, "sources_reviewed": [ "https://lium.io/ (homepage — pod browser)", "https://lium.io/ (homepage — live pod marketplace with pricing)", "https://lium.io/billing (billing page — requires login)", "https://docs.lium.io/bittensor-subnet/overview", "https://raw.githubusercontent.com/Datura-ai/lium-io/main/README.md", "https://subnetalpha.ai/subnet/lium/ (third-party coverage)", "https://wutao.app/subnet/lium-io (third-party coverage)", "https://messari.io/project/lium-subnet (third-party)" ], "researched_at": "2026-05-06T17:00:00Z", "confidence": "medium", "notes": "Lium (formerly Celium) is the primary compute GPU rental subnet on Bittensor. The homepage at lium.io shows a live pod browser with 98+ available pods across US, EU, and Russian providers. CLI tool 'lium-cli' installed via pip offers terminal-based pod management including SSH access. Pricing is dynamic and per-pod; no fixed rate sheet found. Mentioned in Affine's ecosystem as the 'Compute' layer alongside Targon (Serverless), Chutes (Inference), and Hippius (Storage).", "assets": { "logo": "assets/sn51/logo.png", "logo_source": "https://raw.githubusercontent.com/Datura-ai/lium-logos/refs/heads/main/Celium_Icon_FullColor.png", "favicon": "assets/sn51/favicon.png", "favicon_source": "https://lium.io/apple-touch-icon.png" }, "market_data": { "mcap_tao": 288724.4, "price_tao": 0.058557223, "tao_locked": 121529.8, "alpha_in_pool": 2075402.4, "alpha_staked": 2855234.7, "rank": 3, "block": "8154319", "updated_at": "2026-05-10T16:19:40.775Z" }, "mcap_tao": 283799.2 }, "sn52_dojo": { "netuid": 52, "name": "Dojo", "product": { "tagline": "This product is no longer active", "category": "Misc", "subcategory": "Human-Annotated Data and Labeling", "tags": [ "gan", "generative-ai", "data-labeling", "rlhf", "competitive", "code-generation" ], "status": "deprecated", "description": "Dojo (by Tensorplex) has suspended development as of December 2025. The team is working on adjacent projects.", "target_users": [ "AI model trainers needing high-quality generated data", "RLHF researchers", "operators willing to do AI task completion (coding, generation) via browser", "Developers building on Tensorplex infrastructure" ], "use_cases": [ "Generate competitive AI outputs for code generation tasks", "Provide human-and-AI evaluation data for RLHF pipelines", "Compete to produce outputs high-quality to baseline models", "Access crowdsourced AI task completion network" ] }, "pricing": { "model": "none", "currency": null, "notes": "Development suspended as of Dec 2025. No active product or pricing." }, "access": { "api_available": true, "api_url": null, "api_docs": "https://docs.tensorplex.ai/tensorplex-docs/tensorplex-dojo-bittensor-subnet/subnet-mechanism", "requires_auth": true, "auth_method": "wallet", "playground": "https://dojo.network" }, "links": { "website": "https://dojo.network", "github": "https://github.com/tensorplex-labs/dojo", "docs": "https://docs.tensorplex.ai/tensorplex-docs/tensorplex-dojo-bittensor-subnet", "discord": null, "twitter": null, "blog": null }, "on_chain": { "owner_contact": "jarvis@tensorplex.ai", "logo_url": null, "additional": "Operated by Tensorplex Labs. Arabic letter Alef (ا), SN 52." }, "data_gaps": { "unverified": [ "Whether the team plans to relaunch" ], "inaccessible": [ "dojo.network redirects to GitHub — not a live website" ], "missing": [ "Consumer API pricing", "Discord link", "Twitter/X account", "Active task types as of Apr 2026" ] }, "researched_at": "2026-04-27T20:24:41.207Z", "confidence": "high", "notes": "Dojo V2 uses competitive GAN architecture — miners compete to produce outputs BETTER than a baseline, not just match it. GitHub: tensorplex-labs/dojo (Go, 138 commits, last commit Oct 24 2025, v1.8.3). 5 contributors. No miners estimated per epoch (0 displayed). High registration cost $250.89. Browser-based mining (no server required). Also deployed on testnet (netuid 98) at testnet.dojo.network. SUSPENDED: Team announced Dec 22 2025 that development is suspended. All emissions burned. Registration costs 1 TAO. Team: Tensorplex (daemontensorplex). They achieved technical milestones including stTAO (liquid staking). Adjacent projects in progress. Grafana dashboard: grafana.tensorplex.ai. Docs: docs.tensorplex.ai.", "sources_reviewed": [ "https://github.com/tensorplex-labs/dojo (GitHub, via Jina Reader)", "https://bittensor.ai/subnets/52 (on-chain data)", "Discord message archive (ا・dojo・52)", "https://dojo.network (crawled Apr 2026 — redirects to GitHub tensorplex-labs/dojo, no live website)" ], "market_data": { "mcap_tao": 36847.4, "price_tao": 0.00736515, "tao_locked": 19183.5, "alpha_in_pool": 2604629.7, "alpha_staked": 2398309.5, "rank": 31, "block": "8154319", "updated_at": "2026-05-10T16:19:40.777Z" }, "assets": { "favicon": "assets/sn52/favicon.png" }, "mcap_tao": 35711.1 }, "sn53_efficientfrontier": { "netuid": 53, "name": "EfficientFrontier", "product": { "tagline": "Institutional-grade trading strategies for the masses", "category": "Finance", "subcategory": "Strategy Vaults", "tags": [ "trading", "portfolio-optimization", "quantitative-finance", "risk-management", "crypto-trading" ], "status": "live", "description": "Efficient Frontier is a trading strategy vault platform by SignalPlus. Create strategy vaults, scout top strategies on a leaderboard, and copy top-performing vaults for yield. Integrates with SOFA.org for on-chain strategy execution. Website at effrontier.com.", "target_users": [ "Crypto traders", "Quantitative analysts", "Portfolio managers", "Institutional investors" ], "use_cases": [ "Create and manage Strategy Vaults for crypto trading", "Scout and copy top-performing trading strategies", "Compete as a trader with risk-adjusted performance scoring", "Access institutional-grade strategy evaluation" ] }, "pricing": { "model": "unknown", "currency": null, "free_tier": { "available": false, "limits": null }, "tiers": [], "notes": "No public pricing information found." }, "access": { "api_available": false, "api_url": null, "api_docs": null, "requires_auth": false, "auth_method": null, "sdk": [], "playground": null }, "links": { "website": "https://www.effrontier.com", "github": "https://github.com/EfficientFrontier-SignalPlus/EfficientFrontier", "docs": null, "discord": null, "twitter": "https://x.com/Effi_Frontier", "blog": null }, "on_chain": { "owner_contact": null, "logo_url": null, "additional": null }, "data_gaps": { "unverified": [ "SignalPlus connection — mentioned in third-party sources but not confirmed on-chain" ], "inaccessible": [ "No on-chain identity set — subnet has no claimed website, github, or description" ], "missing": [ "Strategy vault pricing/fees", "API documentation", "Detailed scoring formula" ], "stale": [] }, "researched_at": "2026-05-01T22:30:00Z", "confidence": "medium", "sources_reviewed": [ "https://bittensor.ai/subnets/53 (via Jina Reader)", "https://subnetradar.com/subnet/53 (web search)", "https://subnetalpha.ai/subnet/efficient_frontier/ (web search)", "https://www.signalplus.com/ (via Jina Reader)" ], "notes": "Website (effrontier.com) launched Mar 2026. Strategy Vaults via SOFA.org integration. Four capabilities: Create, Scout, Copy, Manage vaults. Team (logicrw) active in Discord — provides setup guidance and technical details. Q3 2025 dev update published. Original tier required $300K minimum but new SOFA integration lowered barriers.", "market_data": { "mcap_tao": 27526.8, "price_tao": 0.005509293, "tao_locked": 14321.6, "alpha_in_pool": 2599534.4, "alpha_staked": 2396891.8, "rank": 44, "block": "8154319", "updated_at": "2026-05-10T16:19:40.779Z" }, "assets": { "favicon": "assets/sn53/favicon.png", "favicon_source": "https://www.signalplus.com/favicon.ico" }, "mcap_tao": 26166.1 }, "sn54_yanez_miid": { "netuid": 54, "name": "Yanez MIID", "product": { "tagline": "Synthetic identity data for fraud detection and KYC testing", "category": "Data Pipeline", "subcategory": "Identity Verification Data", "tags": [ "identity", "kyc", "fraud-detection", "synthetic-data", "compliance", "financial-crime" ], "status": "live", "description": "Yanez MIID generates high-quality synthetic identity data for fraud detection, KYC systems, and name-matching algorithm testing. The parent company Yanez.ai delivers proof of humanhood and proof of uniqueness — cryptographically verifiable, hardware-agnostic. Built for the age of autonomous agents. Yanez Compliance is the enterprise platform for financial institutions.", "target_users": [ "Financial institutions testing sanctions screening and fraud systems", "KYC/AML compliance teams", "Financial crime prevention software vendors", "Banks needing to stress-test their identity verification systems" ], "use_cases": [ "Generate diverse synthetic name/DOB/address variations for KYC testing", "Produce face image variations to test biometric identity systems", "Stress-test AML screening systems with adversarial synthetic identities", "Validate fraud detection algorithms against real-world name variation patterns" ] }, "pricing": { "model": "contact-sales", "currency": "USD", "notes": "Enterprise platform — pricing likely via contact sales." }, "access": { "api_available": false, "requires_auth": true, "playground": null }, "links": { "website": "https://www.yanez.ai", "github": "https://github.com/yanez-compliance/MIID-subnet", "docs": "https://github.com/yanez-compliance/MIID-subnet", "discord": "https://discord.com/channels/799672011265015819/1351934165964296232", "twitter": null, "blog": null }, "on_chain": { "owner_contact": "jose@yanezcompliance.com", "logo_url": "https://www.dropbox.com/scl/fi/qdp0wjseryfuul0uibh06/Yanez-AI-Logo-Icon-Outline-Glow.png?rlkey=kbtcpb5mhdpymcbjjbsd425kw&st=te8yxdou&raw=1", "additional": "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" }, "data_gaps": { "unverified": [ "Existing paying clients mentioned in on-chain description — unverified", "Yanez Compliance website and pricing" ], "inaccessible": [ "No pricing page" ], "missing": [ "Pricing for enterprise customers" ] }, "researched_at": "2026-04-27T20:24:41.207Z", "confidence": "high", "notes": "Very active: 76 commits/30d, last commit 2 days ago. 6 contributors. KAV scoring: phonetic similarity 30%, orthographic similarity 70%. UAV reputation tiers: Neutral (1.0x) to Diamond (1.15x). Phase 4 face variations use AdaFace similarity ≥0.6 minimum. LLMs: Ollama (tinyllama/llama3.1 default). Face models: FLUX.2-klein default. Images uploaded encrypted to S3. Market cap $2.5M. Yanez.ai is the parent company. Dashboard: tao-ui-dashboard.yanez.ai. Phase 4 roadmap (deepfake/face-based adversarial testing for KYC) is active. Currently in Phase 4 per Discord. Contact: omar@yanez.ai (from on-chain).", "sources_reviewed": [ "https://bittensor.ai/subnets/54 (on-chain data and auto-generated description)", "https://github.com/yanez-compliance/MIID-subnet (GitHub)", "https://www.yanez.ai (website — re-crawled Apr 2026: confirmed live, product is 4-level assurance model: L1 Liveness, L2 Uniqueness, L3 Delegation, L4 Contextual Binding; integrations: Google PST, VISA TAP, Stripe MMP, W3C DIDs/VCs, EVM, MPC/Secure Enclaves; ZK proofs, no biometric data leaves device)", "Discord message archive (ت・miid・54)", "https://github.com/yanez-compliance/MIID-subnet (About section links to yanez.ai)" ], "assets": { "logo": "assets/sn54/logo.png", "logo_source": "https://r2.bittensor.ai/chain-logos/54/d370fb017bbab82006b12f566a3258ce1e0d8938ab792782463312d337d984aa.png", "favicon": "assets/sn54/favicon.svg", "favicon_source": "https://static.wixstatic.com/shapes/95b2c3_f4c8680f8d984a7babb6343157c79dce.svg" }, "market_data": { "mcap_tao": 30247.6, "price_tao": 0.006190782, "tao_locked": 9639.7, "alpha_in_pool": 1557097.7, "alpha_staked": 3328807.6, "rank": 37, "block": "8154319", "updated_at": "2026-05-10T16:19:40.781Z" }, "mcap_tao": 32170.9 }, "sn55_niome": { "netuid": 55, "name": "NIOME", "product": { "tagline": "Privacy-safe synthetic genomic data for pharma research", "category": "Science", "subcategory": "Synthetic Genomic Data", "tags": [ "genomics", "synthetic-data", "privacy", "pharma", "precision-medicine", "drug-discovery", "bioinformatics" ], "status": "beta", "description": "NIOME generates AI-powered synthetic genomic data that is statistically indistinguishable from real human DNA — at any scale, without ethical or legal barriers. Opening access for researchers in April 2026 with weekly AMA sessions.", "target_users": [ "pharmaceutical companies", "biomedical researchers", "genomics AI developers", "contract research organizations" ], "use_cases": [ "Drug response prediction model training", "Disease risk stratification", "Pharmacogenomic profiling", "Population genetics simulation", "CRISPR/gene-editing outcome prediction", "Large-scale synthetic cohort generation for clinical trials" ] }, "pricing": { "model": "contact-sales", "currency": null, "free_tier": { "available": false, "limits": null }, "tiers": [], "notes": "API access for researchers and pharma via direct contact (info@genomes.io). No public pricing published." }, "access": { "api_available": true, "api_url": null, "api_docs": null, "requires_auth": true, "auth_method": "enterprise agreement (contact info@genomes.io)", "sdk": [], "playground": null }, "links": { "website": "https://niome.genomes.io", "github": "https://github.com/genomesio/subnet-niome", "docs": "https://github.com/genomesio/subnet-niome/tree/main/docs", "discord": "https://discord.com/invite/bittensor", "twitter": null, "blog": null }, "on_chain": { "owner_contact": "info@genomes.io", "logo_url": "https://miro.medium.com/v2/resize:fit:1400/format:webp/1*pgi-9hji1nosR-l7taHQeA.png", "additional": "Genomics data network. Backed by General TAO Ventures and Yuma." }, "market_data": { "mcap_tao": 23995.5, "price_tao": 0.005236124, "tao_locked": 8607.3, "alpha_in_pool": 1643833.4, "alpha_staked": 2938852.7, "rank": 51, "block": "8154319", "updated_at": "2026-05-10T16:19:40.782Z" }, "sources_reviewed": [ "https://niome.genomes.io", "https://raw.githubusercontent.com/genomesio/subnet-niome/main/README.md" ], "data_gaps": { "unverified": [ "launch date (website said Q1 2026 but subnet is registered)", "actual API availability and pricing" ], "inaccessible": [], "missing": [ "Twitter/X handle", "Discord-specific server link", "API documentation URL" ], "stale": [] }, "researched_at": "2026-05-01T23:00:00Z", "confidence": "high", "notes": "Discord (Apr 2026): Opening to miners \"later this week\" (from Apr 13). Emissions release imminent. CTO jgenome preparing \"huge update.\" Weekly AMA on X (@niomeai). Team is transparent and responsive. Previously at 100% burn — about to stop. Also doubling down on synthetic biology. UK-based team from Genomes.io.", "assets": { "logo": "assets/sn55/logo.png", "logo_source": "https://miro.medium.com/v2/resize:fit:1400/format:webp/1*pgi-9hji1nosR-l7taHQeA.png", "favicon": "assets/sn55/favicon.png", "favicon_source": "https://niome.genomes.io/favicon.png" }, "mcap_tao": 17491.2 }, "sn56_gradients": { "netuid": 56, "name": "Gradients", "product": { "tagline": "Anyone can train AI — fine-tune models without ML expertise", "category": "Model & Agent Development", "subcategory": "On-Demand Model Fine-Tuning", "tags": [ "model-training", "fine-tuning", "llm", "diffusion", "automl", "bittensor" ], "status": "live", "description": "Gradients lets anyone fine-tune text and image AI models without prior training knowledge, through a tournament-based AutoML system. Open-source training scripts compete to find the best approach. Models are delivered via Hugging Face with Weights & Biases monitoring.", "target_users": [ "AI developers", "researchers", "businesses needing custom models", "non-technical users" ], "use_cases": [ "Fine-tune LLMs on custom datasets", "Train image generation models", "Automate model training without ML expertise", "Access decentralized GPU training at competitive rates" ] }, "pricing": { "model": "from $5/hour", "currency": "USD", "free_tier": { "available": false, "limits": null }, "tiers": [ { "name": "1B model/hour", "price": "$10.00/hour", "features": [ "Models up to ~1B parameters", "Hugging Face delivery", "W&B monitoring" ] }, { "name": "7B model/hour", "price": "$15.00/hour", "features": [ "Models up to ~7B parameters", "Hugging Face delivery", "W&B monitoring" ] }, { "name": "40B model/hour", "price": "$25.00/hour", "features": [ "Models up to ~40B parameters", "Hugging Face delivery", "W&B monitoring" ] }, { "name": "40B+ model/hour", "price": "$50.00/hour", "features": [ "Models above 40B parameters", "Hugging Face delivery", "W&B monitoring" ] }, { "name": "Image model/hour", "price": "$5.00/hour", "features": [ "Image/diffusion model training", "Hugging Face delivery" ] } ], "notes": "Pricing confirmed from gradients.io/pricing.", "starts_at": "$5/hour (Image model training)" }, "access": { "api_available": true, "api_url": "https://api.gradients.io", "api_docs": "https://www.gradients.io/platform", "requires_auth": true, "auth_method": "api-key", "sdk": [], "playground": "https://www.gradients.io/app" }, "links": { "website": "https://www.gradients.io", "github": "https://github.com/gradients-ai/G.O.D", "docs": "https://www.gradients.io/platform", "discord": "None", "twitter": "https://x.com/gradients_ai", "blog": "https://www.gradients.io/news" }, "on_chain": { "owner_contact": "info@gradients.io", "logo_url": "https://gradients-public.s3.eu-central-003.backblazeb2.com/gradientslogo.png", "additional": "None" }, "data_gaps": { "unverified": [ "Free tier availability — no free tier found but not explicitly confirmed absent" ], "inaccessible": [ "Discord invite link — not found on website" ], "missing": [ "On-chain contact email", "On-chain subnet URL identity" ], "stale": [] }, "researched_at": "2026-05-06T17:00:00Z", "confidence": "high", "sources_reviewed": [ "https://www.gradients.io/", "https://www.gradients.io/pricing", "https://icm-analytics.com/bittensor/subnets/56/", "https://subnetalpha.ai/subnet/gradients/", "https://github.com/gradients-ai/G.O.D", "https://www.gradients.io/platform (platform page crawled Apr 2026 — confirmed: Gradients 5.0, community model gallery, LoRA models, roadmap/news/team pages available)" ], "notes": "Gradients 5.0 is the current version. The tournament-based system has miners compete every 4-7 day cycles. Token buyback/burn was last executed April 2, 2026. Only 18 active miners as of research date — network is operational but still early-stage.", "assets": { "logo": "assets/sn56/logo.jpg", "logo_source": "https://pbs.twimg.com/profile_images/1955898778084380674/v7NFp0u9_400x400.jpg", "favicon": "assets/sn56/favicon.png", "favicon_source": "https://www.gradients.io/favicon.png" }, "market_data": { "mcap_tao": 107995.6, "price_tao": 0.021576337, "tao_locked": 57987.4, "alpha_in_pool": 2687544.2, "alpha_staked": 2317735.4, "rank": 9, "block": "8154319", "updated_at": "2026-05-10T16:19:40.784Z" }, "mcap_tao": 107926.9 }, "sn58_handshake": { "netuid": 58, "name": "Handshake", "product": { "tagline": "AI provider marketplace with trustless micropayments", "category": "Model & Agent Development", "subcategory": "AI Marketplace", "tags": [ "ai-marketplace", "micropayments", "agent-to-agent", "payment-channels", "polygon", "usdc" ], "status": "live", "description": "Handshake is an AI provider marketplace where AI agents discover and pay for services (LLM, image, audio, code) via micropayment protocols. Providers set their own prices. Payments in USDC on Polygon via DRAIN payment channels or HTTP 402 protocol. Compatible with OpenClaw, OpenRouter, and Claude integrations.", "target_users": [ "AI agent developers", "AI service providers", "Developers building autonomous agent systems" ], "use_cases": [ "Discover and pay AI service providers via trustless micropayments", "Access LLM, image, audio, and code AI services through a unified marketplace", "Build autonomous AI agents that can independently pay for services", "Integrate AI capabilities via OpenAI-compatible proxy and DRAIN payment channels" ] }, "pricing": { "model": "usage-based", "currency": "USDC", "free_tier": { "available": false, "limits": null }, "tiers": [], "notes": "Providers set their own prices. Payments in USDC on Polygon." }, "access": { "api_available": true, "api_url": null, "api_docs": null, "requires_auth": true, "auth_method": "wallet", "sdk": [], "playground": "https://handshake58.com/" }, "links": { "website": "https://handshake58.com", "github": "https://github.com/Handshake58/HS58", "docs": null, "discord": null, "twitter": null, "blog": null }, "on_chain": { "owner_contact": "hello@handshake58.com", "logo_url": "https://github.com/Handshake58/HS58/blob/main/HS58.png?raw=true", "additional": "Trustless micropayments for autonomous AI agents" }, "data_gaps": { "unverified": [ "Provider pricing and availability" ], "inaccessible": [ "handshake58.com not fetched" ], "missing": [ "Provider pricing details", "API documentation", "MCP server documentation", "Discord/Twitter" ], "stale": [] }, "researched_at": "2026-05-01T23:00:00Z", "confidence": "medium", "sources_reviewed": [ "https://bittensor.ai/subnets/58 (via Jina Reader)" ], "notes": "Discord (Apr 2026): Real user (kaurel) running OpenClaw connected to HS58-OpenRouter and HS58-Claude via DRAIN payment channels. OpenAI-compatible proxy works for chat completions but not function calling/tool use. This confirms the product is being used in production, at least by early adopters. Miner emissions question raised (Apr 11).", "market_data": { "mcap_tao": 21445.1, "price_tao": 0.004279089, "tao_locked": 7782.2, "alpha_in_pool": 1818651.9, "alpha_staked": 3192949.6, "rank": 59, "block": "8154319", "updated_at": "2026-05-10T16:19:40.787Z" }, "assets": { "logo": "assets/sn58/logo.png", "logo_source": "https://github.com/Handshake58/HS58/blob/main/HS58.png?raw=true", "favicon": "assets/sn58/favicon.jpg", "favicon_source": "https://handshake58.com/favicon.jpg" }, "mcap_tao": 23444.9 }, "sn59_babelbit": { "netuid": 59, "name": "Babelbit", "product": { "tagline": "Real-time speech-to-speech translation that interprets, not just translates", "category": "Model & Agent Development", "subcategory": "Speech & Language", "tags": [ "speech-to-speech", "translation", "real-time", "low-latency", "NLP", "interpretation", "multilingual" ], "status": "live", "description": "Babelbit is developing low-latency predictive speech-to-speech translation that behaves like a human interpreter rather than a literal translator. Three novel techniques: (1) Phrase Prediction — begins translating before the full utterance is heard; (2) One-Shot Speech-Mode Translation — captures speaker intent and style; (3) Adaptive Retranslation — corrects in real-time as context evolves. Currently in research phase.", "target_users": [ "conference interpreters", "international businesses", "real-time communication platforms", "AI researchers", "language tech companies" ], "use_cases": [ "Real-time conference interpretation across languages", "Live speech translation for video calls", "Broadcast translation preserving speaker tone and nuance", "Low-latency translation for diplomatic or business events" ] }, "pricing": { "model": "unknown", "currency": null, "free_tier": null, "tiers": [], "notes": "No consumer-facing pricing found. Currently in research phase." }, "access": { "api_available": true, "api_url": "https://api.babelbit.ai/", "api_docs": null, "requires_auth": true, "auth_method": "Bittensor hotkey signing (validator infrastructure)", "sdk": null, "playground": null }, "links": { "website": "https://babelbit.ai", "github": "https://github.com/babelbit/babelbit_subnet", "docs": null, "discord": "https://discord.com/channels/799672011265015819/1407849009976053832", "twitter": null, "blog": null }, "on_chain": { "owner_contact": "mk@babelbit.ai", "logo_url": "https://babelbit.ai/babelbit-tower-logo-rev-no-text.png", "additional": { "netuid_confirmed": 59, "miner_repo": "https://github.com/babelbit/babelbit_miner", "scoring_api": "https://scoring.babelbit.ai/", "arena_gateway": "https://gw.babelbit.ai/", "challenge_tiers": { "qualifying": "20% emissions, proportional scoring", "arena": "80% emissions, winner-takes-all, restricted to top qualifying miners (7 slots, rolling 7-day window)" }, "miner_requirements": "Docker image + HuggingFace model repo handle; must expose POST /predict endpoint with Bittensor-signed request headers" } }, "market_data": { "mcap_tao": 19347.7, "price_tao": 0.003899521, "tao_locked": 6892.6, "alpha_in_pool": 1767539.6, "alpha_staked": 3194016.4, "rank": 69, "block": "8154319", "updated_at": "2026-05-10T16:19:40.796Z" }, "sources_reviewed": [ "https://babelbit.ai/", "https://github.com/babelbit/babelbit_subnet/blob/main/README.md", "https://taodaily.io/babelbit-subnet-launches-for-real-time-speech-translation/" ], "data_gaps": { "unverified": [ "Exact launch date", "Number of active miners", "Translation quality benchmarks" ], "inaccessible": [ "Consumer API pricing", "Public demo/playground" ], "missing": [ "Twitter handle", "Discord invite", "Documentation site" ], "stale": [] }, "researched_at": "2026-04-29T15:35:00Z", "confidence": 0.75, "notes": "Website homepage displays a live miner leaderboard showing UIDs, wallet addresses, timestamps, and scores (0.2–0.35 range). The product appears focused on research/competition stage rather than consumer deployment. The core innovation is predictive interpretation (not just translation) using speech-native tokenization.", "assets": { "logo": "assets/sn59/logo.png", "logo_source": "https://babelbit.ai/babelbit-tower-logo-rev-no-text.png", "favicon": "assets/sn59/favicon.png", "favicon_source": "https://babelbit.ai/favicon.png" }, "mcap_tao": 19459.1 }, "sn60_bitsec": { "netuid": 60, "name": "Bitsec.ai", "product": { "tagline": "AI-powered security agents that find and fix code vulnerabilities", "category": "Model & Agent Development", "subcategory": "Software Security Agents", "tags": [ "security", "smart-contracts", "code-audit", "vulnerability-detection", "AI-agents" ], "status": "live", "description": "Bitsec provides AI-powered code vulnerability detection, focused on smart contracts and blockchain codebases. AI security agents identify vulnerabilities in sandboxed environments. Offers ongoing protection by re-evaluating code whenever changes are made.", "target_users": [ "Smart contract developers", "Security researchers", "Blockchain projects needing code audits", "DeFi protocols" ], "use_cases": [ "Automated smart contract security audits", "AI-powered code vulnerability detection and analysis", "Continuous code security monitoring with re-evaluation on changes", "On-demand security scanning for blockchain codebases" ] }, "pricing": { "model": "free / contact sales", "currency": "USD", "free_tier": { "available": true, "limits": "Basic vulnerability scanning available" }, "tiers": [ { "name": "Open Source", "price": "Free", "features": [ "View top security agents", "Submit improvements for evaluation", "Community access" ] }, { "name": "Ongoing Protection", "price": "Contact sales", "features": [ "Continuous re-evaluation on code changes", "Smart contract auditing", "Critical vulnerability detection" ] } ], "notes": "External security audits offered as a product. Pricing for commercial use not publicly listed." }, "access": { "api_available": true, "api_url": null, "api_docs": null, "requires_auth": true, "auth_method": "api-key", "sdk": [], "playground": null }, "links": { "website": "https://bitsec.ai", "github": "https://github.com/Bitsec-AI/subnet", "docs": null, "discord": "yubo", "twitter": null, "blog": null }, "on_chain": { "owner_contact": "john@bitsec.ai", "logo_url": null, "additional": "Smart contract security auditing. Testnet on netuid 209." }, "market_data": { "mcap_tao": 18553.2, "price_tao": 0.003961647, "tao_locked": 6713.7, "alpha_in_pool": 1694672, "alpha_staked": 2988541.8, "rank": 75, "block": "8154319", "updated_at": "2026-05-10T16:19:40.805Z" }, "sources_reviewed": [ "https://bitsec.ai", "https://github.com/Bitsec-AI/sandbox", "https://github.com/Bitsec-AI/subnet", "https://bittensor.ai/subnets/60", "https://bittensor.co.in/subnet/bitsec/" ], "data_gaps": { "unverified": [ "Exact pricing tiers for commercial audits" ], "inaccessible": [ "GitHub sandbox repo content (navigation only)" ], "missing": [ "price_tao", "tao_locked", "alpha_in_pool", "alpha_staked", "block", "twitter", "discord", "docs URL" ], "stale": [] }, "researched_at": "2026-04-29T15:35:00Z", "confidence": "medium", "notes": "Bitsec v2 uses sandbox execution — validators score miners based on agent performance on coding/security tasks, execution sandboxed in Docker. Main GitHub repo is https://github.com/Bitsec-AI/subnet (not the 'sandbox' repo in task). Focus on subnet codebases and smart contracts initially, expanding to other codebases.", "assets": { "favicon": "assets/sn60/favicon.ico", "favicon_source": "https://bitsec.ai/favicon.ico" }, "mcap_tao": 20827.5 }, "sn61_redteam": { "netuid": 61, "name": "RedTeam", "product": { "tagline": "Cybersecurity challenge platform for breaking detection mechanisms", "category": "Model & Agent Development", "subcategory": "Red Team AI", "tags": [ "cybersecurity", "red-teaming", "adversarial", "competitive-programming", "detection-evasion", "AI-security" ], "status": "live", "description": "RedTeam (by Innerworks) is a cybersecurity challenge platform for developing solutions to technical security challenges — particularly focused on circumventing and testing detection mechanisms. Top solutions with real innovation can be integrated into real-world security systems.", "target_users": [ "cybersecurity researchers", "ethical hackers", "security engineers", "AI red-teamers" ], "use_cases": [ "Adversarial AI testing and robustness research", "Detection evasion research", "Security product improvement via competitive solutions", "Cybersecurity talent incentivization", "Red-team automation pipeline development" ] }, "pricing": { "model": "unknown", "currency": null, "free_tier": { "available": false, "limits": null }, "tiers": [], "notes": "No external consumer pricing published." }, "access": { "api_available": true, "api_url": null, "api_docs": "https://docs.theredteam.io", "requires_auth": false, "auth_method": null, "sdk": [], "playground": "https://dashboard.theredteam.io" }, "links": { "website": "https://www.theredteam.io", "github": "https://github.com/RedTeamSubnet/RedTeam", "docs": "https://docs.theredteam.io", "discord": "https://discord.com/channels/799672011265015819/1319313447435108413", "twitter": null, "blog": null }, "on_chain": { "owner_contact": "oscar@theredteam.io", "logo_url": null, "additional": "AI red teaming / adversarial testing. Built by Innerworks." }, "market_data": { "mcap_tao": 22170.3, "price_tao": 0.004380641, "tao_locked": 8131.8, "alpha_in_pool": 1856311.7, "alpha_staked": 3204648.4, "rank": 57, "block": "8154319", "updated_at": "2026-05-10T16:19:40.806Z" }, "sources_reviewed": [ "https://www.theredteam.io/", "https://raw.githubusercontent.com/RedTeamSubnet/RedTeam/main/README.md" ], "data_gaps": { "unverified": [ "specific challenge types currently active", "whether solutions are publicly accessible or licensed to products" ], "inaccessible": [ "dashboard content (requires login)", "docs.theredteam.io full content" ], "missing": [ "Discord link", "Twitter/X handle", "blog" ], "stale": [] }, "researched_at": "2026-04-29T15:38:00Z", "confidence": "medium", "notes": "Website rendered minimal content (SPA). GitHub README provided the bulk of detail. Dashboard at dashboard.theredteam.io is the primary user-facing product. Scoring mechanics are clearly defined in README including alpha burn and decay.", "assets": { "favicon": "assets/sn61/favicon.png", "favicon_source": "https://cdn.prod.website-files.com/67531c85b03434359fffb2ab/6754886e16284792d016008d_Webclip.jpg" }, "mcap_tao": 20530.9 }, "sn62_ridges": { "netuid": 62, "name": "Ridges", "product": { "tagline": "Decentralized AI software engineering agents — autonomous code, debug, and PR", "category": "Model & Agent Development", "subcategory": "Software Development Agents", "tags": [ "software-engineering", "coding-agents", "ai-agents", "swe-bench", "code-generation", "bittensor" ], "status": "live", "description": "Ridges is a decentralized network of AI software engineering agents that compete autonomously on real coding problems — reading issues, editing code, running tests, and proposing fixes. The best-performing agents are rewarded on-chain. The platform runs its own evaluation pipeline with standardized coding benchmarks (SWE-bench). Website ridges.ai was not accessible during research (Vercel security checkpoint).", "target_users": [ "Software developers", "Enterprises needing automated code fixes", "Open-source project maintainers" ], "use_cases": [ "Autonomous AI agents solve real GitHub issues end-to-end", "Get AI-generated pull requests for bug fixes and feature implementations", "Use via VS Code/Cursor extension (~$12/mo or $0.29/PR)", "SWE-bench verified agents scoring 73–96% on real coding tasks" ] }, "pricing": { "model": "unknown", "currency": "USD", "free_tier": { "available": false, "limits": null }, "tiers": [], "notes": "~$12/month subscription or ~$0.29/PR via VS Code/Cursor extension.", "starts_at": "~$8/month (Data Tier)" }, "access": { "api_available": true, "api_url": "https://www.ridges.ai", "api_docs": "https://www.ridges.ai", "requires_auth": true, "auth_method": "oauth", "sdk": [], "playground": "https://www.ridges.ai" }, "links": { "website": "https://www.ridges.ai", "github": "https://github.com/ridgesai/ridges", "docs": null, "discord": "https://discord.gg/bittensor", "twitter": "https://x.com/ridges_ai", "blog": null }, "on_chain": { "owner_contact": "hobbleabbas@gmail.com", "logo_url": "https://www.ridges.ai/logo.png", "additional": "Software Engineering Agents. Decentralized marketplace of autonomous SWE agents building on Bittensor." }, "data_gaps": { "unverified": [ "Exact current pricing — sourced from LinkedIn (Dec 2024) and interview (Oct 2025); may have changed", "SWE-bench scores (73-88% Verified) — from third-party interview, not confirmed on primary site", "USD payout amounts for miners" ], "inaccessible": [ "https://www.ridges.ai/ — returned 429 Too Many Requests (Vercel security checkpoint)", "https://www.ridges.ai/pricing — inaccessible (429)", "https://www.ridges.ai/docs — inaccessible (429)", "https://raw.githubusercontent.com/ridgesai/ridges/main/README.md — returned 404" ], "missing": [ "Primary website content (blocked by Vercel security)", "GitHub README (404 — may be private or renamed)", "API endpoint documentation", "Contact email" ], "stale": [ "Roadmap milestones from SubnetAlpha sourced from 2025 interviews" ] }, "sources_reviewed": [ "https://www.ridges.ai/ (429 — blocked)", "https://raw.githubusercontent.com/ridgesai/ridges/main/README.md (404)", "https://subnetalpha.ai/subnet/ridgesai/ (comprehensive third-party profile)", "https://www.linkedin.com/posts/markjeffrey_ridges-bittensor-subnet-62 (pricing info)", "https://tokenradar.ai/tokens/ridges-ai (third-party)" ], "researched_at": "2026-05-06T17:00:00Z", "confidence": "medium", "notes": "Ridges (previously Agentao) is one of the more developed consumer products from Bittensor subnets. Website was blocked by Vercel security (429) during research. Key facts from third-party interviews: shipped as VS Code/Cursor extension Oct 30, 2025; priced ~$12/mo; $29/mo for 100 PRs at $0.29/PR; scored 73-88% SWE-bench Verified and 96.3%. Uses a Google-login mining dashboard that pays top agent builders in fiat. DSV Fund and Stillcore Capital have both invested. Composes with Chutes and Targon (other Bittensor subnets). Previously called Agentao and described as 'Agentao' in some sources.", "market_data": { "mcap_tao": 90027.9, "price_tao": 0.019059251, "tao_locked": 39149.8, "alpha_in_pool": 2054107.5, "alpha_staked": 2669470.9, "rank": 13, "block": "8154319", "updated_at": "2026-05-10T16:19:40.808Z" }, "assets": { "favicon": "assets/sn62/favicon.png" }, "mcap_tao": 127687.8 }, "sn63_enigma": { "netuid": 63, "name": "Enigma", "product": { "tagline": "Quantum circuit challenges — advancing quantum computing research", "category": "Compute & Infrastructure", "subcategory": "Advancing Quantum Compute Networks", "tags": [ "quantum-computing", "quantum-simulation", "circuits", "qubits", "research" ], "status": "live", "description": "Enigma is a quantum computing research platform with challenges to solve quantum circuit problems using classical simulation or quantum hardware. Challenges include identifying hidden bitstrings in peaked circuits and hidden stabilizer circuits.", "target_users": [ "Quantum computing researchers", "High-performance computing operators", "Quantum simulation specialists", "Researchers exploring quantum advantage" ], "use_cases": [ "Benchmark and advance quantum circuit simulation algorithms", "Contribute quantum hardware to decentralized computing challenges", "Earn rewards for solving increasingly complex quantum circuits (up to 50 qubits)", "Build quantum computing capability in a decentralized network" ] }, "pricing": { "model": "open-source", "currency": null, "notes": "Open-source research platform. No end-user pricing.", "open_source": true }, "access": { "api_available": false, "requires_auth": false, "sdk": [ "python" ] }, "links": { "website": "https://www.qbittensorlabs.com", "github": null, "docs": null, "discord": "qbittensorlabs", "twitter": null, "blog": null }, "on_chain": { "owner_contact": "qbittensorlabs@gmail.com", "logo_url": "https://www.qbittensorlabs.com/63.png", "additional": "Breaking today to build tomorrow. Quantum challenge-response system with validator-generated circuits and miner simulation." }, "data_gaps": { "unverified": [ "Whether any real quantum hardware (not just simulators) is currently being used by miners" ], "inaccessible": [], "missing": [ "Discord server link", "Twitter/X account", "End-user product or API (currently research/mining only)" ] }, "researched_at": "2026-04-26T20:44:00Z", "confidence": "medium", "notes": "Registered Feb 21, 2025. GitHub: qbittensor-labs/quantum (OpenQASM, MIT license). Last commit 30 days ago, 1 commit/30d. 6 contributors. Score function: ≤32 qubits linear 0.15-0.40, >32 qubits exponential with base 1.7 up to 1.00 at 50 qubits. Scores decay with 72h half-life. Validators whitelisted (high-resource nodes). 0 miners active as of Apr 26 2026 (may indicate high competition or miners not registered). Market cap $3.9M.", "sources_reviewed": [ "https://bittensor.ai/subnets/63 (on-chain data and auto-generated description)", "https://github.com/qbittensor-labs/quantum (GitHub)", "https://www.qbittensorlabs.com (website crawled Apr 2026 — confirmed: Enigma SN63 + Quantum Compute SN48 under qBitTensor Labs, partners: BlueQubit, QuantumRings, Bittensor, ENIGMA page at /enigma)" ], "assets": { "logo": "assets/sn63/logo.png", "logo_source": "https://r2.bittensor.ai/chain-logos/63/f0af7a0ee89b8af1520feebfb56fcfcfd400dda07d06ff232f7a4f47eebd7d49.png", "favicon": "assets/sn63/favicon.png", "favicon_source": "https://www.qbittensorlabs.com/apple-touch-icon.png" }, "market_data": { "mcap_tao": 44463.7, "price_tao": 0.009054183, "tao_locked": 15259, "alpha_in_pool": 1685293.8, "alpha_staked": 3225553.5, "rank": 28, "block": "8154319", "updated_at": "2026-05-10T16:19:40.810Z" }, "mcap_tao": 41588.4 }, "sn64_chutes": { "netuid": 64, "name": "Chutes", "product": { "tagline": "Serverless AI compute for open-source models", "category": "Compute & Infrastructure", "subcategory": "Serverless AI Compute", "tags": [ "gpu", "inference", "serverless", "llm", "open-source", "image-generation", "embeddings", "tee" ], "status": "live", "description": "Chutes provides serverless GPU compute for AI inference. Deploy open-source models (LLMs, image, speech, video, 3D, embeddings) with zero infrastructure management. Models are always-hot and auto-scaling. Supports custom code deployment via the Chutes SDK, TEE (Trusted Execution Environments) for secure compute, and consumer apps (Chutes Chat, Chutes Search, fictio).", "target_users": [ "AI developers", "ML engineers", "Startups building AI products", "Enterprises needing scalable inference" ], "use_cases": [ "Deploy open-source LLMs for production inference", "Run image/video/3D generation models serverlessly", "Embed data for search and recommendations", "Content moderation (hate speech, NSFW)", "Secure AI inference via TEE", "Bring your own model — run any open model with a few lines of code" ] }, "pricing": { "model": "from $3/month", "currency": "USD", "free_tier": { "available": false, "limits": "Previously offered 200 free requests/day with a $5 one-time deposit. No longer available to new users." }, "tiers": [ { "name": "Base", "price": "$3/month", "features": [ "5x value vs equivalent pay-as-you-go", "3% off PAYG pricing", "Frontier models NOT included", "Pay-as-you-go overage beyond limit" ] }, { "name": "Plus", "price": "$10/month", "features": [ "5x value vs equivalent pay-as-you-go", "6% off PAYG pricing", "Access to frontier models (GLM-5, GLM-5.1, Kimi K2.5/K2.6, Qwen 3.5, MiniMax M2.5)", "Pay-as-you-go overage beyond limit" ] }, { "name": "Pro", "price": "$20/month", "features": [ "5x value vs equivalent pay-as-you-go", "10% off PAYG pricing", "Access to frontier models", "Pay-as-you-go overage beyond limit" ] }, { "name": "Enterprise", "price": "Custom", "features": [ "Custom billing and limits", "Dedicated support" ] }, { "name": "Pay-as-you-go", "price": "Per-token pricing varies by model", "features": [ "Billed per million tokens (input/output priced separately)", "Also billed per-second for GPU compute (custom chutes)", "26 GPU types from $0.20/hr to $4.50/hr", "Also payable in TAO" ], "example_model_pricing": [ { "model": "Qwen3-32B-TEE", "input": "$0.08/M tokens", "output": "$0.24/M tokens" }, { "model": "DeepSeek-V3-0324-TEE", "input": "frontier pricing (Plus+ required)", "output": "frontier pricing" }, { "model": "Llama-3.2-3B-Instruct", "input": "lower tier", "output": "lower tier" } ] } ], "gpu_pricing_highlights": { "cheapest": "A4000 — $0.20/hr", "mid_range": "A100 80GB — $1.20/hr", "high_end": "H100 SXM — $2.35/hr", "top_tier": "B200/B300 — $4.50/hr", "pricing_api": "https://api.chutes.ai/pricing" }, "notes": "Two pricing dimensions: (1) per-token for model inference (e.g. $0.08/$0.24 per M tokens for Qwen3-32B-TEE); (2) per-second GPU billing for custom chutes ($0.20-$4.50/hr by GPU type).", "starts_at": "$3/month (Base)" }, "access": { "api_available": true, "api_url": "https://api.chutes.ai", "openai_compatible_url": "https://llm.chutes.ai/v1", "models_endpoint": "https://llm.chutes.ai/v1/models", "api_docs": "https://docs.chutes.ai", "requires_auth": true, "auth_method": "api-key", "sdk": [ "python" ], "openai_compatible": true, "playground": "https://chutes.ai/app" }, "links": { "website": "https://chutes.ai", "github": "https://github.com/chutesai/chutes", "docs": "https://docs.chutes.ai", "discord": "https://discord.gg/chutes", "twitter": "https://twitter.com/chutes_ai", "blog": "https://chutes.ai/news", "status_page": "https://status.chutes.ai", "contact_sales": "https://chutes.ai/sales-contact" }, "on_chain": { "owner_contact": "support@chutes.ai", "logo_url": "https://storage.googleapis.com/chutes-random/logo-chutes.png", "additional": "Chutes is a subnet operated by Chutes Global Corp, an International Business Corporation registered in Nevis with registration number C 61974" }, "related_products": [ { "name": "Chutes Chat", "url": "https://chutes.ai/app", "description": "Consumer chat interface for LLMs" }, { "name": "Chutes Search", "url": "https://search.chutes.ai", "description": "AI-powered search engine" }, { "name": "fictio", "url": "https://fictio.ai", "description": "Interactive AI experience creator" }, { "name": "Chutes Studio", "url": "https://chutes.ai/app", "description": "Consumer creative studio for AI-generated content" } ], "data_gaps": { "unverified": [ "Enterprise tier pricing — listed as 'custom/contact sales', no public rates", "Exact request limits per subscription tier — pricing page says 'View limits' but links to app login" ], "inaccessible": [ "docs.chutes.ai sub-pages returned 404 (getting-started, introduction) — docs may have restructured" ], "missing": [ "Full per-token pricing list for all models — individual model pages show input/output rates but no consolidated pricing table found", "Free trial details — FAQ mentions 'Is there a free trial?' but answer is behind JS accordion" ], "stale": [] }, "researched_at": "2026-05-06T17:00:00Z", "confidence": "high", "sources_reviewed": [ "https://chutes.ai (homepage, via Jina Reader)", "https://chutes.ai/pricing (pricing page, via Jina Reader)", "https://api.chutes.ai/pricing (live GPU pricing API, direct JSON)", "https://docs.chutes.ai (docs homepage)", "https://github.com/chutesai/chutes (GitHub repo)", "https://rpwithai.com/chutes-new-subscription-plans/ (third-party pricing review)", "https://docs.kodus.io/knowledge_base/en/how-to-use-chutes-with-kodus (integration guide with tier details)" ], "notes": "Most commercially mature subnet in the top 10. Live pricing API, SDK, consumer apps, TEE support. Pricing is transparent and per-second for GPU compute, per-token for subscription value. Blog post shows they cut 45% token volume while growing revenue per GPU 44.9% — focused on sustainable unit economics. Integrations: OpenRouter, Cline, Kilo, Roo Code, FetchAI (all linked from homepage). Upcoming: Long Jobs (batch processing, long-running jobs, model training). GLM-5.1 added to frontier models list.", "assets": { "logo": "assets/sn64/logo.png", "logo_source": "https://storage.googleapis.com/chutes-random/logo-chutes.png", "favicon": "assets/sn64/favicon.png", "favicon_source": "https://chutes.ai/favicon.png" }, "market_data": { "mcap_tao": 386890.9, "price_tao": 0.074734362, "tao_locked": 201344.9, "alpha_in_pool": 2694141.5, "alpha_staked": 2482739.9, "rank": 1, "block": "8154319", "updated_at": "2026-05-10T16:19:40.811Z" }, "mcap_tao": 411114 }, "sn65_tao_private_network": { "netuid": 65, "name": "TAO Private Network", "product": { "tagline": "Distributed routing for modern enterprises", "category": "Compute & Infrastructure", "subcategory": "Proxy / VPN Infrastructure", "tags": [ "vpn", "proxy", "socks5", "wireguard", "privacy", "decentralized-vpn", "residential-proxy", "scraping", "ai-agents" ], "status": "live", "description": "TAO Private Network (TPN) provides enterprise proxy and VPN infrastructure powered by a globally distributed network of opt-in hardware operators. Offers SOCKS5 and WireGuard connections via a unified REST API with credit-based billing. Key use cases: VPN reselling, web scraping with residential IPs, AI agent routing (compatible with Langchain/AutoGPT), and browser extension proxy injection. Claims up to 90% cheaper than legacy providers. Built by Taofu Labs.", "target_users": [ "Web scraping professionals and data platforms", "VPN resellers", "AI agent developers needing unrestricted web access", "Browser extension developers", "Privacy-conscious enterprises", "Ad verification companies", "Price intelligence platforms" ], "use_cases": [ "High-concurrency web scraping with rotating residential IPs", "White-label VPN reselling via API-driven WireGuard configs", "AI agent routing — bypass Cloudflare, LLM-optimized API manifests", "Browser extension SOCKS5 proxy injection (Manifest V3 compatible)", "Ad verification and price intelligence with geo-diverse IPs", "On-demand WireGuard VPN sessions with country selection" ] }, "pricing": { "model": "credits", "currency": "USD", "free_tier": { "available": true, "limits": "Free account creation at api.taoprivatenetwork.com" }, "tiers": [ { "name": "Starter Pack", "price": "$9.99", "credits": 1000, "per_credit": "$0.01", "features": [ "Perfect for getting started" ] }, { "name": "Pro Pack", "price": "$49.99", "credits": 5000, "per_credit": "$0.01", "features": [ "Great for regular users" ] }, { "name": "Premium Pack", "price": "$199.99", "credits": 20000, "per_credit": "$0.01", "features": [ "Best for power users" ] }, { "name": "Enterprise", "price": "Custom", "credits": null, "per_credit": null, "features": [ "Volume pricing", "Subscriptions available" ] } ], "notes": "Credit formula: credits = 4.1 × minutes^0.375. Scraping comparison: legacy providers ~$10/GB, TPN ~$0.25/2hr. Credit calculator at api.taoprivatenetwork.com/credit-calculator. Sales: sales@taoprivatenetwork.com." }, "access": { "api_available": true, "api_url": "https://api.taoprivatenetwork.com", "api_docs": "https://api.taoprivatenetwork.com/docs", "requires_auth": true, "auth_method": "Account signup + credit purchase", "sdk": [ "REST API", "SOCKS5", "WireGuard", "bittensor" ], "playground": "https://api.taoprivatenetwork.com/credit-calculator" }, "links": { "website": "https://taoprivatenetwork.com", "github": "https://github.com/taofu-labs/tpn-subnet", "docs": "https://api.taoprivatenetwork.com/docs", "discord": "https://discord.gg/taoprivatenetwork", "twitter": "https://x.com/TPN_Labs", "blog": null }, "on_chain": { "owner_contact": "contact@taoprivatenetwork.com", "logo_url": "https://r2.bittensor.ai/chain-logos/65/be870a83c0539db35e206948254d1608d0ef5f729223048683ff252df66e712d.jpg", "additional": "-" }, "market_data": { "mcap_tao": 18752.4, "price_tao": 0.003778358, "tao_locked": 7427.2, "alpha_in_pool": 1965730.7, "alpha_staked": 2997375.3, "rank": 74, "block": "8154319", "updated_at": "2026-05-10T16:19:40.812Z" }, "sources_reviewed": [ "https://bittensor.ai/subnets/65 (via Jina Reader, 2026-05-10)", "https://taoprivatenetwork.com (via Jina Reader, 2026-05-10)", "https://taoprivatenetwork.com/pricing (via Jina Reader, 2026-05-10)", "https://taoprivatenetwork.com/solutions/scraping (via Jina Reader, 2026-05-10)", "https://api.taoprivatenetwork.com/docs (via Jina Reader, 2026-05-10)", "https://github.com/taofu-labs/tpn-subnet (via bittensor.ai)" ], "data_gaps": { "unverified": [ "Actual number of residential IPs in the pool", "Geographic coverage specifics" ], "inaccessible": [], "missing": [ "Partner integration details (WhaleSurf VPN mentioned on homepage)", "Uptime/SLA guarantees" ], "stale": [] }, "researched_at": "2026-05-10T16:15:00Z", "confidence": "high", "notes": "Significant product maturity since last research. Full enterprise product with pricing page, REST API, documentation, credit calculator, and multiple solution verticals. Health 60/100 (active). 47 commits/30d, 27 contributors, last commit 4d ago. 256/256 neurons (fully competitive). 11 validators, 7 miners. Network share 0.28% (#118), emission rank #106. Partners: Bittensor, WhaleSurf VPN. Built by Taofu Labs (actuallymentor is top contributor with 1062 commits). Validator status page at stats.uptimerobot.com/yf0zW1MbQF.", "assets": { "logo": "assets/sn65/logo.jpg", "logo_source": "https://tpn.taofu.xyz/img/logo.jpg", "favicon": "assets/sn65/favicon.svg", "favicon_source": "https://taoprivatenetwork.com/favicon.svg" }, "mcap_tao": 19490.4 }, "sn66_ninja": { "netuid": 66, "name": "Ninja", "product": { "tagline": "Coding agent competition platform — king of the hill AI duels", "category": "Model & Agent Development", "subcategory": "Software Agents", "tags": [ "coding", "ai-agents", "competition", "automated-coding", "king-of-the-hill" ], "status": "live", "description": "Ninja is an open-source software engineering (SWE) agent competition built by Arbos. AI agents compete in automated coding duels on real GitHub repos — challengers submit agents via PR, and the best agent becomes 'king' that all others must beat. Dashboard at ninja.arbos.life tracks active duels, challenger queue, leaderboard, and score analytics. Scoring uses Cursor-baseline similarity + LLM diff judgment. Over 923 duels completed.", "target_users": [ "AI agent developers", "Coding competition users", "Developers building autonomous coding systems" ], "use_cases": [ "Compete with AI coding agents on real GitHub software engineering tasks", "Benchmark agent performance via king-of-the-hill SPRT duels", "Research autonomous software development capabilities", "Build and submit SWE agents via GitHub PR flow (unarbos/ninja)" ] }, "pricing": { "model": "free", "currency": null, "free_tier": null, "tiers": [], "notes": "Free to participate. Agents compete via automated duels." }, "access": { "api_available": false, "api_url": null, "api_docs": null, "requires_auth": false, "auth_method": null, "sdk": [], "playground": "https://ninja.arbos.life" }, "links": { "website": "https://ninja.arbos.life", "github": "https://github.com/unarbos/tau", "docs": null, "discord": "arbos", "twitter": null, "blog": null }, "on_chain": { "owner_contact": "tau@arbos.life", "logo_url": "0xf09fa5b7", "additional": " " }, "data_gaps": { "unverified": [ "Terraform/GCP sandbox validation — described on ICM Analytics but not confirmed from primary source" ], "inaccessible": [ "ninja.arbos.life — loaded but shows only live competition dashboard, not product description" ], "missing": [ "Discord link", "Documentation", "On-chain contact email", "Consumer pricing" ], "stale": [] }, "researched_at": "2026-05-06T17:00:00Z", "confidence": "high", "sources_reviewed": [ "https://ninja.arbos.life/", "https://icm-analytics.com/bittensor/subnets/66/", "https://github.com/unarbos/tau", "https://subnetradar.com/subnet/66", "Discord message archive (ض・ninja・66)" ], "notes": "923 total duels as of May 2026 (up from 580+ in April). Multiple active challengers per epoch. Repo: github.com/unarbos/tau (CLI) and github.com/unarbos/ninja (public agent harness). Miners submit via PR to unarbos/ninja with title starting with miner hotkey. Scoring: 50% Cursor-baseline similarity + 50% LLM diff judgment (deepseek-v4-flash). Production validator: 25 round-concurrency, 10 candidates/epoch, 600s challenger timeout. ICM score: 21/100 (improved from 19 in April). 611 commits in 30d (now very active). 79 contributors. 57 open issues. Multiple validators: 192. King is auto-merged into unarbos/ninja base when dethroned.", "assets": { "logo": "assets/sn66/logo.png", "logo_source": "https://github.com/AlphaCoreBittensor.png?size=96", "favicon": "assets/sn66/favicon.png" }, "market_data": { "mcap_tao": 60135.2, "price_tao": 0.012258796, "tao_locked": 13176, "alpha_in_pool": 1074816.1, "alpha_staked": 3830656.2, "rank": 20, "block": "8154319", "updated_at": "2026-05-10T16:19:40.813Z" }, "mcap_tao": 66066 }, "sn68_nova": { "netuid": 68, "name": "NOVA", "product": { "tagline": "Open drug screening — compound discovery and nanobody design", "category": "Science", "subcategory": "Drug Discovery and Design", "tags": [ "drug-discovery", "molecular-screening", "ai-drug-design", "decentralized-compute", "biology" ], "status": "live", "description": "NOVA by Metanova Labs is a global open drug screening platform. Competitions run weekly with rotating targets for small molecule screening and nanobody design. Active competitions include small molecule and nanobody design challenges.", "target_users": [ "pharmaceutical researchers", "biotech companies", "drug discovery scientists", "computational chemists" ], "use_cases": [ "High-throughput virtual screening of novel drug candidates", "Nanobody discovery and optimization", "Competitive drug discovery benchmarks with weekly targets", "Molecular property prediction with Boltzmann scoring" ] }, "pricing": { "model": "unknown", "currency": null, "free_tier": null, "tiers": [], "notes": "Research platform with bounty-based competitions. Enterprise/research access details not publicly disclosed." }, "access": { "api_available": false, "api_url": null, "api_docs": null, "requires_auth": false, "auth_method": null, "sdk": [], "playground": "https://www.metanova-labs.ai/dashboard" }, "links": { "website": "https://www.metanova-labs.ai", "github": "https://github.com/metanova-labs/nova", "docs": "https://www.metanova-labs.ai/whitepapers", "discord": "https://discord.com/invite/bittensor", "twitter": "https://x.com/metanova_labs", "blog": null, "dashboard": "https://www.metanova-labs.ai/dashboard" }, "on_chain": { "owner_contact": null, "logo_url": "https://raw.githubusercontent.com/metanova-labs/nova/refs/heads/main/assets/subnet-logo.png", "additional": "" }, "data_gaps": { "unverified": [ "Yalotein partnership status — announced via Twitter, not confirmed on either party's website", "Novalyst guide tool — mentioned but no direct URL found" ], "inaccessible": [ "metanova-labs.ai/nova — not fully crawled", "metanova-labs.ai/models — not crawled" ], "missing": [ "Public API for external drug discovery requests", "Pricing or access details for research partners", "On-chain contact/identity fields" ], "stale": [] }, "researched_at": "2026-05-06T17:00:00Z", "confidence": "medium", "sources_reviewed": [ "https://www.metanova-labs.ai/", "https://icm-analytics.com/bittensor/subnets/68/", "https://subnetalpha.ai/subnet/nova/", "https://www.metanova-labs.ai/whitepapers", "https://github.com/metanova-labs/nova", "Discord message archive (ξ・nova・68)" ], "notes": "3 whitepapers: V1 (March 2025) — SAVI 2020 library (~1.75B compounds), PSICHIC scoring, winner-takes-all; V2 (April 2025) — multi-molecule submissions, adversarial incentives. Dashboard at metanova-labs.ai/dashboard. Searching 102.9K/3.2B molecules stat shown on website. 3 active miners. ICM score: 47/100. Discord (Apr 2026): Very active community. Compound + nanobody competitions running simultaneously. Weekly targets rotate: small molecule Q63380 (rxn 1&2), nanobody Q9NZQ7. Nanobody competition launched Apr 13, epoch 22050. Team (urdof, __amanita__) very responsive. Wandb logging with dashboard scores. sn68.novalabs.dev is NOT owned by the team. MSA files in github nanobodies branch. Active discussion about scoring mechanics, CoralNPU bugs. 90% burn rate currently — no revenue yet.", "assets": { "logo": "assets/sn68/logo.png", "logo_source": "https://pbs.twimg.com/profile_images/1924548785755009024/ZPIeclt__400x400.png", "favicon": "assets/sn68/favicon.png", "favicon_source": "https://framerusercontent.com/images/fHzw5Q8KAqUK6x6A6IvRGSwauH8.png" }, "market_data": { "mcap_tao": 98021.8, "price_tao": 0.020092519, "tao_locked": 39038.5, "alpha_in_pool": 1942936.8, "alpha_staked": 2935585.8, "rank": 12, "block": "8154319", "updated_at": "2026-05-10T16:19:40.815Z" }, "mcap_tao": 79621.9 }, "sn69_unknown": { "netuid": 69, "name": "Unknown", "product": { "tagline": "This slot is inactive", "category": "Misc", "subcategory": "Unknown", "tags": [ "bittensor" ], "status": "development", "description": "This slot has no active product and appears to be unclaimed or parked.", "target_users": [ "decentralized ecosystem users" ], "use_cases": [] }, "pricing": { "model": "none", "currency": null, "free_tier": { "available": false, "limits": null }, "tiers": [], "notes": "No product found." }, "access": { "api_available": false, "api_url": null, "api_docs": null, "requires_auth": false, "auth_method": null, "sdk": [], "playground": null }, "links": { "website": null, "github": null, "docs": null, "discord": null, "twitter": null, "blog": null }, "on_chain": { "owner_contact": null, "logo_url": null, "additional": "bittensor.ai shows 'Owner not set', 'Hotkey not set', Registration: Closed. No AMM pool activity visible. Price and TVL data unavailable from chain explorer." }, "market_data": { "mcap_tao": 13348, "price_tao": 0.01585586, "tao_locked": 4275, "alpha_in_pool": 269615.5, "alpha_staked": 572218.4, "rank": 95, "block": "8154319", "updated_at": "2026-05-10T16:19:40.817Z" }, "sources_reviewed": [ "https://bittensor.ai/subnets/69", "https://subnetradar.com/subnet/69", "AgentDB discord_messages (searched channel_name ILIKE '%sn69%' OR '%subnet-69%' OR content ILIKE '%netuid 69%' OR '%subnet 69%')" ], "data_gaps": { "unverified": [], "inaccessible": [], "missing": [ "Owner identity", "Product description", "Website", "GitHub", "Discord", "Twitter", "Price and pool data (subnet appears to have no active pool)", "Any confirmed use case or roadmap" ], "stale": [] }, "researched_at": "2026-05-01T22:30:00Z", "confidence": "low", "notes": "Confirmed unclaimed/inactive subnet. bittensor.ai shows no owner, no hotkey, registration closed, no price data. Discord message from Feb 2026 (taoflow2 channel) explicitly mentions 'subnet 69 — unclaimed, no miners, no activity, yet still receiving emissions, and the price won't drop below 0.0034 because that\\'s the liquidation haircut.' Market cap data (16617.8 TAO) from the mcap feed suggests the alpha token itself trades, but no underlying subnet product exists. Likely a speculative parked subnet. No Discord channel found for this subnet (searched May 2026).", "mcap_tao": 17002 }, "sn6_numinous": { "netuid": 6, "name": "Numinous", "product": { "tagline": "Superhuman AI forecasting agents", "category": "Predictive Systems", "subcategory": "Event Prediction", "tags": [ "forecasting", "prediction", "llm-agents", "polymarket", "geopolitics", "sports", "finance" ], "status": "live", "description": "Numinous is a forecasting protocol that aggregates AI agents into superhuman LLM forecasters. Forecasting agents execute in isolated sandboxes with access to curated tools (LLM inference, web search, statement verification, social signals). Predictions are scored using Brier score against real binary event outcomes.", "target_users": [ "Forecasting researchers", "AI agent developers", "Prediction market analysts", "Quantitative researchers" ], "use_cases": [ "Build and deploy AI forecasting agents that predict binary event outcomes", "Compete in domain-specific prediction contests (Geopolitics, Sports, Finance)", "Access curated tool APIs for building forecasters (LLM, search, verification, social signals)", "Benchmark forecasting agent performance against Polymarket prices" ] }, "pricing": { "model": "open-source", "currency": null, "open_source": true, "free_tier": { "available": true, "limits": "Free to participate as a miner — agents run in sandboxed environments" }, "tiers": [], "notes": "Tools are provided free to forecasting agents (LLM inference, web search, etc.)." }, "access": { "api_available": true, "api_url": null, "api_docs": null, "requires_auth": true, "auth_method": "api-key", "sdk": [ "python" ], "playground": null }, "links": { "website": "https://numinouslabs.io", "github": "https://github.com/numinouslabs/numinous", "docs": null, "discord": "amedeo_ma", "twitter": null, "blog": null }, "on_chain": { "owner_contact": "marc@infinitemech.io", "logo_url": "https://numinouslabs.io/numinous-logo.svg", "additional": "Numinous is a forecasting protocol whose goal is to aggregate agents into superhuman LLM forecasters." }, "data_gaps": { "unverified": [ "Tool API availability and rate limits for agents" ], "inaccessible": [ "numinouslabs.io not fetched" ], "missing": [ "Consumer-facing product or dashboard", "Discord link", "Twitter account" ], "stale": [] }, "researched_at": "2026-04-28T20:10:00Z", "confidence": "medium", "sources_reviewed": [ "https://bittensor.ai/subnets/6 (via Jina Reader)" ], "notes": "127 active miners — one of the most active subnets researched. Uses Brier score for evaluation. Integrates with Chutes (LLM), Desearch (search), OpenAI/Perplexity, Vericore, LunarCrush, and Numinous Signals. PNL simulated against Polymarket prices. Domain contests for Geopolitics, Sports, Finance. MIT licensed.", "market_data": { "mcap_tao": 21738.7, "price_tao": 0.00451021, "tao_locked": 10241, "alpha_in_pool": 2270636.5, "alpha_staked": 2549240.4, "rank": 58, "block": "8154319", "updated_at": "2026-05-10T16:19:40.818Z" }, "assets": { "logo": "assets/sn6/logo.svg", "logo_source": "https://numinouslabs.io/numinous-logo.svg", "favicon": "assets/sn6/favicon.svg", "favicon_source": "https://numinouslabs.io/favicon.svg" }, "mcap_tao": 23530.7 }, "sn71_leadpoet": { "netuid": 71, "name": "Leadpoet", "product": { "tagline": "Intent-driven AI for modern sales teams", "category": "Data Pipeline", "subcategory": "Marketing and Lead Data Generation", "tags": [ "b2b", "sales", "lead-generation", "intent-data", "email-verification" ], "status": "live", "description": "Leadpoet delivers validated, intent-scored B2B sales leads by detecting real buying signals across 12+ web sources (job postings, funding rounds, tech stack changes, competitor engagement). Email addresses, decision-maker roles, and compliance are all verified.", "target_users": [ "B2B sales teams", "Account-based marketing teams", "Lead generation agencies", "Go-to-market teams" ], "use_cases": [ "Automate prospect discovery with verified email addresses and decision-maker info", "Source accounts matching specific ICPs with real-time intent signals", "Validate incoming lead sources for fraud detection and compliance", "Replace legacy tools like ZoomInfo or Apollo with signal-based leads" ] }, "pricing": { "model": "contact-sales", "currency": null, "free_tier": { "available": false, "limits": null }, "tiers": [], "notes": "Pricing not publicly listed. Book a 15-minute discovery call via cal.com/leadpoet/discovery." }, "access": { "api_available": true, "api_url": null, "api_docs": null, "requires_auth": true, "auth_method": "api-key", "sdk": [], "playground": "https://leadpoet.com/auth" }, "links": { "website": "https://leadpoet.com", "github": "https://github.com/leadpoet/leadpoet", "docs": null, "discord": null, "twitter": "https://x.com/LeadpoetAI", "blog": null }, "on_chain": { "owner_contact": "hello@leadpoet.com", "logo_url": "https://leadpoet.com/leadpoet-social-logo.png", "additional": "Intent-driven AI for modern sales teams." }, "data_gaps": { "unverified": [ "API availability mentioned on website footer but no public docs found" ], "inaccessible": [ "Pricing page does not exist — only 'Book a demo' CTA" ], "missing": [ "Pricing tiers and rates", "API documentation", "SDK details", "Discord community link" ], "stale": [] }, "researched_at": "2026-04-28T20:05:00Z", "confidence": "medium", "sources_reviewed": [ "https://bittensor.ai/subnets/71 (via Jina Reader)", "https://leadpoet.com/ (via Jina Reader)", "https://github.com/leadpoet/leadpoet (via Jina Reader)" ], "notes": "Well-developed product with Forbes feature mention. Trusted by Chutes, Resi, Lium, and other Bittensor ecosystem companies. Product is live with login portal. Pricing is gated behind sales calls — no public rates found. 1,544 commits on GitHub showing active development.", "market_data": { "mcap_tao": 26064.7, "price_tao": 0.0054753, "tao_locked": 5677, "alpha_in_pool": 1036839.2, "alpha_staked": 3723572.8, "rank": 47, "block": "8154319", "updated_at": "2026-05-10T16:19:40.820Z" }, "assets": { "logo": "assets/sn71/logo.png", "logo_source": "https://leadpoet.com/leadpoet-social-logo.png", "favicon": "assets/sn71/favicon.png", "favicon_source": "https://leadpoet.com/apple-touch-icon.png" }, "mcap_tao": 32518.5 }, "sn72_streetvision": { "netuid": 72, "name": "StreetVision", "product": { "tagline": "Street-level vision data for autonomous driving and smart maps", "category": "Data Pipeline", "subcategory": "Street-Level Vision Data", "tags": [ "depin", "computer-vision", "autonomous-driving", "mapping", "street-data", "smartphone", "natix" ], "status": "live", "description": "StreetVision, in partnership with NATIX Network, turns smartphones and dashcams into street-level data collectors. Processed computer vision data — object detection, lane recognition, road conditions — powers autonomous driving AI and smarter map-making pipelines.", "target_users": [ "autonomous vehicle companies", "mapping providers", "urban planners", "AI/ML researchers", "smart city developers" ], "use_cases": [ "Autonomous driving training data", "HD map generation and maintenance", "Road condition monitoring", "Traffic and pedestrian analytics", "Smart city infrastructure planning" ] }, "pricing": { "model": "unknown", "currency": null, "free_tier": { "available": false, "limits": null }, "tiers": [], "notes": "Data purchasing model not publicly documented." }, "access": { "api_available": false, "api_url": null, "api_docs": null, "requires_auth": false, "auth_method": null, "sdk": [], "playground": "https://www.natix.network/drive-earn-app" }, "links": { "website": "https://natix.network", "github": null, "docs": "https://docs.natix.network/whitepaper/", "discord": null, "twitter": null, "blog": "https://natix.network/blog/natix-x-bittensor-leveraging-decentralized-ai-for-autonomous-driving-smarter-map-making" }, "on_chain": { "owner_contact": null, "logo_url": null, "additional": "Discord channel: ق・sτreeτvision・72 (ID: 1349122541754515538)" }, "market_data": { "mcap_tao": 16034.9, "price_tao": 0.003593229, "tao_locked": 8039.1, "alpha_in_pool": 2237302.9, "alpha_staked": 2225240.9, "rank": 85, "block": "8154319", "updated_at": "2026-05-10T16:19:40.823Z" }, "sources_reviewed": [ "https://natix.network", "https://natix.network/blog/natix-x-bittensor-leveraging-decentralized-ai-for-autonomous-driving-smarter-map-making", "Discord channel streetvision-72" ], "data_gaps": { "unverified": [ "$NATIX token integration details", "miner setup requirements", "data API access for buyers" ], "inaccessible": [], "missing": [ "GitHub repository", "subnet-specific docs", "pricing for data consumers" ], "stale": [] }, "researched_at": "2026-04-29T15:50:00.000Z", "confidence": "medium", "notes": "Strong brand connection to NATIX Network confirmed via blog post and Discord. Subnet is live with active registration dynamics (discussion about managing registration wars). $NATIX token integration with Bittensor alpha remains TBD per community messages.", "assets": { "favicon": "assets/sn72/favicon.png", "favicon_source": "https://cdn.prod.website-files.com/65ae82ef7e37a0d48a19fd64/660d0879620d06c94bae4ece_webclip%20Logo%20256.jpg" } }, "sn73_parked": { "netuid": 73, "name": "Parked", "product": { "tagline": "Treasury management and capital allocation system", "category": "Finance", "subcategory": "VTO Market", "tags": [ "treasury", "alpha-acquisition", "auction", "metahash", "capital-allocation", "bittensor-native" ], "status": "beta", "description": "MetaHash Group's Treasury Network is a capital allocation and settlement system. It operates a deterministic multi-epoch pipeline for bidding on and acquiring assets, with auctions, settlement, and on-chain auditing.", "target_users": [ "MetaHash Group partners", "institutional alpha investors", "alpha traders", "institutional TAO holders" ], "use_cases": [ "Alpha acquisition across decentralized network via auction", "Treasury management for multi-asset alpha portfolios", "Decentralized capital allocation to network portfolios", "Cross-portfolio settlement and auditing" ] }, "pricing": { "model": "none", "currency": null, "free_tier": { "available": false, "limits": null }, "tiers": [], "notes": "Internal treasury mechanism for MetaHash Group. No external pricing or API product found." }, "access": { "api_available": false, "api_url": null, "api_docs": null, "requires_auth": false, "auth_method": null, "sdk": [ "bittensor" ], "playground": null }, "links": { "website": null, "github": "https://github.com/fx-integral/merit", "docs": null, "discord": null, "twitter": null, "blog": null }, "on_chain": { "owner_contact": null, "logo_url": null, "additional": "On-chain identity: Arabic letter Kaf (ك). Branded 'Parked'. Owner cut 18%. Registration open. TVL 15,473τ. 0 miners, 11 validators per bittensor.ai." }, "market_data": { "mcap_tao": 19953.5, "price_tao": 0.004197359, "tao_locked": 7964.2, "alpha_in_pool": 1897429, "alpha_staked": 2856396.3, "rank": 63, "block": "8154319", "updated_at": "2026-05-10T16:19:40.827Z" }, "sources_reviewed": [ "https://bittensor.ai/subnets/73", "https://subnetradar.com/subnet/73", "https://github.com/fx-integral/merit", "https://raw.githubusercontent.com/fx-integral/merit/main/README.md" ], "data_gaps": { "unverified": [ "tao_locked estimated as TVL/2 (15473τ / 2 = 7737τ)", "alpha_in_pool estimated from tao_locked / price_tao", "alpha_staked estimated from total supply minus pool", "Unclear if fx-integral/merit (Merit subnet) is current operator of SN73 or historical" ], "inaccessible": [ "No website found", "No Discord found" ], "missing": [ "Twitter", "Docs", "Current GitHub if different from fx-integral/merit" ], "stale": [ "Merit README describes cross-subnet participation scoring — may represent earlier mission" ] }, "researched_at": "2026-05-01T23:00:00Z", "confidence": "medium", "notes": "Discord (Apr 2026): Channel (meτahash・73) is active but only social — \"GM\" messages, no product updates. Community members received alpha airdrops from SN109. Team members (fivebytes, nexras) post motivational messages (\"You can knock us down but you can't keep us down\") but no technical updates. No product development evidence.", "mcap_tao": 18319.1 }, "sn74_gittensor": { "netuid": 74, "name": "Gittensor", "product": { "tagline": "The workforce for open source — earn by contributing code", "category": "Model & Agent Development", "subcategory": "Software Agents", "tags": [ "open-source", "software-development", "code-contribution", "bounties", "autonomous-coding" ], "status": "live", "description": "Gittensor is a platform for autonomous software development on open source repositories. Features a dashboard, OSS contribution leaderboard, discoveries, bounties system, and repository management. Monthly reward pool of ~$148K for quality contributions.", "target_users": [ "Open source developers", "Software engineers", "AI coding agent developers", "Project maintainers seeking community members" ], "use_cases": [ "Compete for rewards by contributing quality code to open source projects", "Post bounties for specific development tasks", "Discover and track open source contributions across the network", "Benchmark autonomous coding agents against real-world development tasks" ] }, "pricing": { "model": "open-source", "currency": null, "open_source": true, "free_tier": { "available": true, "limits": "Open participation — miners earn from monthly reward pool" }, "tiers": [], "notes": "Monthly reward pool of ~$148K. No consumer-facing paid product — users earn by contributing code." }, "access": { "api_available": true, "api_url": null, "api_docs": "https://docs.gittensor.io/", "requires_auth": false, "auth_method": null, "sdk": [], "playground": "https://gittensor.io/dashboard" }, "links": { "website": "https://gittensor.io", "github": "https://github.com/entrius/gittensor", "docs": "https://docs.gittensor.io/", "discord": " ", "twitter": "https://x.com/gittensor_io", "blog": null }, "on_chain": { "owner_contact": " ", "logo_url": "https://gittensor.s3.us-east-2.amazonaws.com/gt-logo-white.png", "additional": " " }, "data_gaps": { "unverified": [ "Monthly reward pool amount is dynamic and changes with token price" ], "inaccessible": [], "missing": [ "Detailed bounty pricing structure", "Discord community link", "Contact information" ], "stale": [] }, "researched_at": "2026-04-28T20:07:00Z", "confidence": "medium", "sources_reviewed": [ "https://bittensor.ai/subnets/74 (via Jina Reader)", "https://gittensor.io/ (via Jina Reader)" ], "notes": "Active platform with dashboard, leaderboard, bounties, and repository features. Website is functional with live reward pool data. 11 active miners. Features an onboarding flow and watchlist functionality.", "market_data": { "mcap_tao": 27343.8, "price_tao": 0.006150182, "tao_locked": 7945.4, "alpha_in_pool": 1291893.4, "alpha_staked": 3154119.7, "rank": 45, "block": "8154319", "updated_at": "2026-05-10T16:19:40.828Z" }, "assets": { "logo": "assets/sn74/logo.png", "logo_source": "https://gittensor.s3.us-east-2.amazonaws.com/gt-logo-white.png", "favicon": "assets/sn74/favicon.png", "favicon_source": "https://gittensor.io/gt-logo-white.png" }, "mcap_tao": 28419.5 }, "sn75_hippius": { "netuid": 75, "name": "Hippius", "product": { "tagline": "Decentralized cloud storage with S3 compatibility", "category": "Compute & Infrastructure", "subcategory": "Decentralized Storage", "tags": [ "storage", "cloud", "decentralized", "s3", "ipfs", "virtual-machines", "blockchain", "bittensor" ], "status": "live", "description": "Hippius is a decentralized cloud platform offering S3-compatible storage, virtual machines, and app hosting. Files are protected with Reed-Solomon erasure coding (30 shards, any 10 sufficient for recovery). Pay with fiat or crypto — no KYC required, no long-term contracts. 1 credit = $1, fully transparent on-chain billing.", "target_users": [ "Developers", "Businesses", "AI/ML teams", "Web3 application builders", "Decentralized backup seekers" ], "use_cases": [ "S3-compatible decentralized file storage", "Hosting AI models and training datasets", "Running virtual machines on decentralized infrastructure", "Web3 application storage (S3-compatible APIs)", "Decentralized backup with automatic replication", "Content delivery networks with edge storage" ] }, "pricing": { "model": "$0.003/GB/month", "currency": "USD", "free_tier": { "available": false, "limits": null }, "tiers": [ { "name": "S3-Compatible Storage", "price": "$0.003/GB/month (equivalent rate)", "features": [ "Per-block billing ($0.00000000679/GB per 6-second block)", "First-hour minimum charge $0.00000407268/GB", "Reed-Solomon erasure coding (30 shards, 10 needed)", "Self-healing storage", "No egress costs (vs Storj $704/mo, Google $8,212/mo, Amazon $13,080/mo for 1TB)", "Blockchain-verified transactions" ] } ], "notes": "Credits: 1 credit = $1, minted on-chain for full visibility. Pay with fiat or crypto. No KYC required. No long-term contract — upgrade, downgrade, or cancel anytime.", "starts_at": "$0.003/GB/month (S3-compatible storage)" }, "access": { "api_available": true, "api_url": "https://console.hippius.com", "api_docs": "https://docs.hippius.com/blockchain/api", "requires_auth": true, "auth_method": "oauth", "sdk": [], "playground": "https://console.hippius.com" }, "links": { "website": "https://hippius.com", "github": "https://github.com/thenervelab/thebrain", "docs": "https://docs.hippius.com", "discord": "https://discord.hippius.com", "twitter": "https://x.com/hippius_subnet", "blog": "https://hippius.com/blog" }, "on_chain": { "owner_contact": "hello@hippius.com", "logo_url": "https://hippius.com/logo.png", "additional": "Blockchain-backed cloud: storage, VMs, and apps. The Nerve Lab builds Hippius." }, "data_gaps": { "unverified": [ "Virtual machine (VM) pricing — not listed on pricing page", "App hosting pricing — not listed on pricing page", "Arion Storage pricing vs S3 storage pricing" ], "inaccessible": [ "https://hippius.com/hermes — not reviewed", "https://hippius.com/product — not reviewed", "https://hippius.com/alphanomics — not reviewed", "https://hipstats.com/ — not reviewed" ], "missing": [ "Virtual machine pricing tiers", "App hosting pricing", "Arion Storage (IPFS-based) pricing vs S3", "Company/team information" ], "stale": [] }, "sources_reviewed": [ "https://hippius.com/ (homepage)", "https://hippius.com/pricing (pricing page — S3 storage rates confirmed)", "https://docs.hippius.com/ (docs root)", "https://raw.githubusercontent.com/thenervelab/thebrain/main/README.md", "https://discord.hippius.com", "https://x.com/hippius_subnet" ], "researched_at": "2026-05-06T17:00:00Z", "confidence": "high", "notes": "Hippius is one of the most developed consumer-facing products in the Bittensor ecosystem with live pricing, a working console, and a dedicated pricing calculator. S3 pricing at $0.003/GB/month is dramatically cheaper than competitors (Storj: ~$4/GB/month, AWS: ~$23/GB/month). Files use per-object NaCl encryption before storage; miners only see encrypted bytes. Sign-up via Google or GitHub — no KYC, no wallet required. Version 0.1.0 per footer. The GitHub repo (thebrain) is the main Substrate blockchain node, not just the frontend. Two storage types: Arion Storage (IPFS-based, self-healing) and S3-Compatible Storage. Hipstats.com is an external indexer for the subnet.", "assets": { "logo": "assets/sn75/logo.png", "logo_source": "https://hippius.com/logo.png", "favicon": "assets/sn75/favicon.ico", "favicon_source": "https://hippius.com/favicon.ico" }, "market_data": { "mcap_tao": 103671.1, "price_tao": 0.022495976, "tao_locked": 36895.9, "alpha_in_pool": 1640112.7, "alpha_staked": 2968315.4, "rank": 10, "block": "8154319", "updated_at": "2026-05-10T16:19:40.829Z" }, "mcap_tao": 113957.2 }, "sn77_liquidity": { "netuid": 77, "name": "Liquidity", "product": { "tagline": "Decentralized liquidity pools", "category": "Finance", "subcategory": "Liquidity Provision", "tags": [ "liquidity", "DeFi", "pools", "dTAO", "Bittensor" ], "status": "live", "description": "Liquidity pools dashboard at sn77.xyz with ~366,000 tokens in total active liquidity across 5 pools. Track and manage liquidity positions with transparent participation ranking.", "target_users": [ "liquidity providers", "DeFi users", "TAO holders" ], "use_cases": [ "Providing liquidity to the network pools", "Monitoring active liquidity positions" ] }, "pricing": { "model": "none", "currency": null, "free_tier": { "available": true, "limits": null }, "tiers": [], "notes": "No explicit user-facing pricing." }, "access": { "api_available": false, "api_url": null, "api_docs": null, "requires_auth": false, "auth_method": null, "sdk": [], "playground": "https://sn77.xyz" }, "links": { "website": "https://sn77.xyz", "github": "https://github.com/creativebuilds/sn77", "docs": null, "discord": "CreativeBuilds", "twitter": null, "blog": null }, "on_chain": { "owner_contact": null, "logo_url": "https://sn77.xyz/assets/Logo.svg", "additional": "Total active liquidity: ~366,093 TAO across 5 pools (as of research date)" }, "market_data": { "mcap_tao": 18164.9, "price_tao": 0.004006716, "tao_locked": 9505.9, "alpha_in_pool": 2372493.3, "alpha_staked": 2161121.7, "rank": 78, "block": "8154319", "updated_at": "2026-05-10T16:19:40.829Z" }, "sources_reviewed": [ "https://sn77.xyz", "https://github.com/creativebuilds/sn77" ], "data_gaps": { "unverified": [ "exact pool mechanics", "miner incentive structure" ], "inaccessible": [ "GitHub README (404)" ], "missing": [ "price_tao", "tao_locked", "alpha_in_pool", "alpha_staked", "twitter", "discord" ], "stale": [] }, "researched_at": "2026-04-29T15:45:00Z", "confidence": 0.45, "notes": "GitHub README was 404. Website is a live dashboard showing liquidity pool rankings. Limited documentation available on subnet mechanics or how miners compete.", "assets": { "logo": "assets/sn77/logo.svg", "logo_source": "https://sn77.xyz/assets/Logo.svg", "favicon": "assets/sn77/favicon.svg", "favicon_source": "https://sn77.xyz/assets/apple-touch-icon.png" }, "mcap_tao": 18779.3 }, "sn78_vocence": { "netuid": 78, "name": "Vocence", "product": { "tagline": "The voice layer for decentralized intelligence", "category": "AI & Machine Learning", "subcategory": "Voice AI / Text-to-Speech", "tags": [ "voice", "tts", "text-to-speech", "speech-to-text", "voice-cloning", "prompt-tts", "bittensor", "decentralized-ai" ], "status": "live", "description": "Vocence is a decentralized voice intelligence platform. It generates speech from natural-language prompts describing content and voice traits (gender, tone, emotion, pitch, speed, accent, etc.). Models are evaluated across content correctness, audio quality, and prompt adherence using a standardized pipeline with global consensus scoring. The product includes Vocence Studio (web UI) for TTS, STT, voice cloning, voice design, and music generation, plus a Developer API.", "target_users": [ "AI agent developers needing voice output", "Content creators and dubbing professionals", "Game developers needing character voices", "Accessibility tool builders", "Voice app developers", "ML researchers working on speech models" ], "use_cases": [ "Generate natural speech from text with fine-grained voice control (tone, emotion, accent, speed)", "Transcribe speech to text (STT)", "Clone voices from reference audio samples", "Design custom voices by describing traits in natural language", "Generate music from text prompts", "Build voice-driven AI agents with TTS + STT integration", "Accessibility applications for text-to-speech conversion" ] }, "pricing": { "model": "credits", "currency": "USD", "free_tier": { "available": true, "limits": "300 free credits on signup" }, "tiers": [ { "name": "Normal (Stripe)", "price": "$12", "credits": 4000, "features": [ "Studio access (TTS, STT, Clone, Music)", "7-day generation history", "Up to 5 custom voices" ] }, { "name": "Normal (Crypto)", "price": "$20", "credits": 7000, "features": [ "Studio access (TTS, STT, Clone, Music)", "7-day generation history", "Up to 5 custom voices" ] }, { "name": "Premium (Stripe)", "price": "$24", "credits": 10000, "features": [ "All Studio features", "Permanent generation history", "Unlimited custom voices", "Developer API access" ] }, { "name": "Premium (Crypto)", "price": "$40", "credits": 16000, "features": [ "All Studio features", "Permanent generation history", "Unlimited custom voices", "Developer API access" ] }, { "name": "Enterprise", "price": "Custom", "credits": null, "features": [ "Full API support", "Dedicated onboarding", "Private quotas", "Custom volume pricing" ] } ], "notes": "Credit costs per action: TTS 25cr, STT 20cr, Voice Clone 50cr, Voice Design 120cr, Music Gen 50cr. Developer API requires at least one Premium purchase. API rate limit: 4 req/min per key." }, "access": { "api_available": true, "api_url": "https://www.vocence.ai/api (Developer API)", "api_docs": "https://www.vocence.ai/docs", "requires_auth": true, "auth_method": "API key (Bearer token, created after Premium purchase)", "sdk": [ "REST API", "bittensor" ], "playground": "https://www.vocence.ai/studio/tts" }, "links": { "website": "https://www.vocence.ai", "github": "https://github.com/vocence-78/vocence", "docs": "https://www.vocence.ai/docs", "discord": "https://discord.gg/TWmfwJAtXG", "twitter": null, "blog": "https://www.vocence.ai/blog" }, "on_chain": { "owner_contact": null, "logo_url": "https://r2.bittensor.ai/chain-logos/78/3b1eba0560b5c25249b09130dc96fb1279636c88e4d9fc66e6115c06c701062a.png", "additional": null }, "market_data": { "mcap_tao": 2555.5, "price_tao": 0.010934605, "tao_locked": 451.8, "alpha_in_pool": 41316, "alpha_staked": 192388.2, "rank": 127, "block": "8154319", "updated_at": "2026-05-10T16:19:40.830Z" }, "sources_reviewed": [ "https://bittensor.ai/subnets/78 (via Jina Reader)", "https://www.vocence.ai/ (via Jina Reader)", "https://www.vocence.ai/docs/pricing (via Jina Reader)", "https://github.com/vocence-78/vocence (via Jina Reader)" ], "data_gaps": { "unverified": [], "inaccessible": [ "Vocence whitepaper (https://www.vocence.ai/whitepaper) — not crawled" ], "missing": [ "Twitter/X account", "Owner contact email", "Team member names" ], "stale": [] }, "researched_at": "2026-05-10T16:15:00Z", "confidence": "high", "notes": "Live product as of March 2026. Vocence Studio offers TTS, STT, voice cloning, voice design, and music generation. 10 active miners, 6 validators, 24K+ evaluations. Uses Chutes for model deployment and Hippius for storage. Built by concil859856 (GitHub). Health 46/100. Network share 0.78% (#33 emission rank, but rank #127 by mcap). Plans to expand to STT, STS, voice cloning subnets. Product launched March 25, 2026.", "assets": { "favicon": "assets/sn78/favicon.png" } }, "sn79_mvtrx": { "netuid": 79, "name": "MVTRX", "product": { "tagline": "Live crypto exchange with institutional-grade market data", "category": "Finance", "subcategory": "Exchange Infrastructure", "tags": [ "trading", "algorithmic-trading", "simulation", "market-microstructure", "finance", "agent-based" ], "status": "live", "description": "MVTRX is building a live crypto exchange with a C++ market microstructure engine featuring Coinbase-grade Level 3 market-by-order (MBO) data, AI-native orders, and real on-chain settlement. The Toolbox at toolbox.simulate.trading provides simulation analytics. Exchange access currently by request (early access).", "target_users": [ "Algorithmic traders and quant researchers", "Market microstructure specialists", "operators developing high-frequency trading strategies", "decentralized ecosystem building dTAO trading infrastructure" ], "use_cases": [ "Develop and benchmark automated trading strategies in realistic market simulations", "Compete on risk-adjusted trading performance (Kappa-3) with real TAO rewards", "Contribute to decentralized exchange infrastructure for dTAO", "Research agent-based market dynamics and order book strategies" ] }, "pricing": { "model": "contact-sales", "currency": null, "notes": "Exchange access by request/invitation. Toolbox dashboard available at toolbox.simulate.trading." }, "access": { "api_available": true, "sdk": [], "api_url": "https://toolbox.simulate.trading" }, "links": { "website": "https://mvtrx.exchange", "github": "https://github.com/taos-im/sn-79", "docs": "https://simulate.trading/taos-im-paper", "discord": "https://discord.com/channels/799672011265015819/1353733356470276096", "twitter": null, "blog": null }, "on_chain": { "owner_contact": "to@mvtrx.fi", "logo_url": "https://assets.mvtrx.fi/logo.png", "additional": "Powered by TAOS Matrix of Simulations Sandbox" }, "data_gaps": { "unverified": [ "Whether the dTAO exchange product (beyond simulation) has launched or is in development" ], "inaccessible": [], "missing": [ "Details of the exchange product roadmap" ] }, "researched_at": "2026-05-06T17:00:00Z", "confidence": "high", "notes": "Three-tier architecture: (1) C++ Simulator with limit order books and agent-based microstructure; (2) Python Validator handling auth and weight-setting; (3) Miner Agents with L3 market data. Scoring uses intraday Kappa-3 ratio + volume requirement. Rolling window scoring persists across configuration changes (~weekly). Deregistrations reset capital. 4 commits/30d, last commit 11 days ago. 1 contributor. Market cap $2.3M, high APY (3855% staker APY). Website: mvtrx.exchange. Exchange launching with early access. Toolbox: toolbox.simulate.trading (AI-driven summary feature). Contact: to@mvtrx.fi | to@taos.im. Operated by Rayleigh Research. 128 concurrent stress-test environments. 128 addressable alpha subnets. Demo video available.", "sources_reviewed": [ "https://bittensor.ai/subnets/79 (on-chain data and auto-generated description)", "https://github.com/taos-im/sn-79 (GitHub)", "https://mvtrx.exchange (website — re-crawled Apr 2026: confirmed live, exchange access by request form, roles: Agent Developer/Miner/Institutional Trader/Investor/Researcher, L3 MBO order book, on-chain settlement, 128 scenarios, ~12s settlement)", "https://toolbox.simulate.trading (toolbox)", "Discord message archive (ي・m∧τrx・79)" ], "assets": { "logo": "assets/sn79/logo.png", "logo_source": "https://r2.bittensor.ai/chain-logos/79/8b657fe166382cbf51e884c33878ad908fc275d0afad262d9bdb7d344d97d66d.png", "favicon": "assets/sn79/favicon.png" }, "market_data": { "mcap_tao": 54251.9, "price_tao": 0.012793895, "tao_locked": 12239.7, "alpha_in_pool": 956684.3, "alpha_staked": 3283770.9, "rank": 21, "block": "8154319", "updated_at": "2026-05-10T16:19:40.831Z" }, "mcap_tao": 32540.6 }, "sn7_allways": { "netuid": 7, "name": "Allways", "product": { "tagline": "Trustless native cross-chain swaps — no bridges, no wrapping", "category": "Finance", "subcategory": "Cross-Chain Swaps", "tags": [ "cross-chain", "swaps", "BTC", "TAO", "trustless", "decentralized-exchange", "atomic-swap", "collateral" ], "status": "beta", "description": "Allways is a trustless universal transaction layer that enables native cross-chain asset swaps without wrapping or bridges. Assets move natively on their own chains with smart contract enforcement via collateral. Currently live for BTC ↔ TAO swaps with more chains coming.", "target_users": [ "crypto traders", "TAO holders", "BTC holders", "DeFi users" ], "use_cases": [ "Trustless BTC ↔ TAO swaps", "Native cross-chain asset exchange without bridges or custodians", "Permissionless liquidity provision", "Decentralized exchange rate discovery" ] }, "pricing": { "model": "unknown", "currency": null, "free_tier": { "available": false, "limits": null }, "tiers": [], "notes": "Swap fees based on exchange rate spreads. Open-source, permissionless protocol." }, "access": { "api_available": false, "api_url": null, "api_docs": null, "requires_auth": false, "auth_method": null, "sdk": [ "Python CLI (alw)", "Docker Compose" ], "playground": null }, "links": { "website": "https://all-ways.io", "github": "https://github.com/entrius/allways", "docs": null, "discord": " ", "twitter": null, "blog": null }, "on_chain": { "owner_contact": " ", "logo_url": " https://allways-905418005698-us-east-2-an.s3.us-east-2.amazonaws.com/sn7-light.png", "additional": " " }, "market_data": { "mcap_tao": 19573.7, "price_tao": 0.004279524, "tao_locked": 7313.5, "alpha_in_pool": 1708954.9, "alpha_staked": 2864844.1, "rank": 67, "block": "8154319", "updated_at": "2026-05-10T16:19:40.832Z" }, "sources_reviewed": [ "https://all-ways.io/", "https://raw.githubusercontent.com/entrius/allways/main/README.md" ], "data_gaps": { "unverified": [ "swap fee structure", "smart contract address / chain deployed on", "current liquidity depth" ], "inaccessible": [ "website rendered empty (SPA/JS-heavy, no readable content extracted)" ], "missing": [ "Discord link", "Twitter/X handle", "docs site", "owner contact" ], "stale": [] }, "researched_at": "2026-04-29T15:38:00Z", "confidence": "medium", "notes": "Website returned no content (likely JS SPA). All product info sourced from GitHub README. Self-described as 'permissionless, open-source, beta software.' Smart contract architecture is described but contract address/chain not specified in README. Currently only BTC↔TAO pair is live.", "assets": { "favicon": "assets/sn7/favicon.jpg", "favicon_source": "https://all-ways.io/favicon.jpg" }, "mcap_tao": 20262.7 }, "sn81_deprecated": { "netuid": 81, "name": "Deprecated", "product": { "tagline": "Deprecated — no longer active", "category": "Misc", "subcategory": "Verifiable Inference and Training", "tags": [ "deprecated" ], "status": "deprecated", "description": "This product is no longer active.", "target_users": [ "N/A — project is deprecated" ], "use_cases": [] }, "pricing": { "model": "none", "currency": null, "notes": "Deprecated — no active product or pricing." }, "access": { "api_available": false }, "links": { "website": null, "github": null, "discord": "deprecated" }, "on_chain": { "owner_contact": "deprecated@gmail.com", "logo_url": "https://deprecated.png" }, "data_gaps": { "unverified": [], "inaccessible": [], "missing": [ "No public information available — subnet is deprecated" ] }, "researched_at": "2026-04-26T20:36:00Z", "confidence": "high", "notes": "Subnet 81 appears in market cap rankings as deprecated. No active product, team, or codebase found.", "sources_reviewed": [ "https://taostats.io/subnets/81 (on-chain data)" ], "market_data": { "mcap_tao": 36718.6, "price_tao": 0.008303491, "tao_locked": 20130, "alpha_in_pool": 2424281.3, "alpha_staked": 1997783.4, "rank": 32, "block": "8154319", "updated_at": "2026-05-10T16:19:40.833Z" }, "mcap_tao": 37375.7 }, "sn83_cliqueai": { "netuid": 83, "name": "CliqueAI", "product": { "tagline": "AI-powered graph optimization solver", "category": "Model & Agent Development", "subcategory": "Computational Mathematics", "tags": [ "graph-theory", "maximum-clique", "optimization", "research", "combinatorics", "toptensor" ], "status": "live", "description": "CliqueAI solves the Maximum Clique Problem using AI across multiple challenge types: small-scale (optimal solutions), large-scale (approximate solutions), time-constrained, and special graph structures. Research-focused platform for graph theory and combinatorial optimization.", "target_users": [ "graph theory researchers", "optimization engineers", "AI researchers" ], "use_cases": [ "Maximum clique computation for research", "Benchmarking graph algorithm performance", "AI-assisted combinatorial optimization research", "Competitive algorithm development" ] }, "pricing": { "model": "unknown", "currency": null, "free_tier": { "available": false, "limits": null }, "tiers": [], "notes": "Research platform — no direct consumer pricing." }, "access": { "api_available": false, "api_url": null, "api_docs": null, "requires_auth": false, "auth_method": null, "sdk": [], "playground": "https://wandb.ai/toptensor-ai/CliqueAI/overview" }, "links": { "website": "https://cliqueai.toptensor.ai", "github": "https://github.com/toptensor/CliqueAI", "docs": null, "discord": null, "twitter": null, "blog": null }, "on_chain": { "owner_contact": "toptensor (TopTensor team)", "logo_url": null, "additional": "Discord channel: ᚦ・cliqueai・83 (ID: 1355560253076410428). WandB dashboard: wandb.ai/toptensor-ai/CliqueAI" }, "market_data": { "mcap_tao": 18391.4, "price_tao": 0.006618068, "tao_locked": 6021.3, "alpha_in_pool": 909824.9, "alpha_staked": 1869136.9, "rank": 76, "block": "8154319", "updated_at": "2026-05-10T16:19:40.834Z" }, "sources_reviewed": [ "Discord channel cliqueai-83", "https://github.com/toptensor/CliqueAI", "https://wandb.ai/toptensor-ai/CliqueAI/overview" ], "data_gaps": { "unverified": [ "problem difficulty progression roadmap", "external use cases beyond research" ], "inaccessible": [], "missing": [ "website", "technical documentation", "whitepaper" ], "stale": [] }, "researched_at": "2026-05-02T21:10:35Z", "confidence": "medium", "notes": "Confirmed as TopTensor's frontier research subnet. Miners compete to solve maximum clique problems on large undirected graphs (e.g., 497 nodes, 60k edges). Registration fee of 0.12 TAO suggests competitive demand. Community noted single dominant skilled miner initially. WandB tracking is active.", "assets": { "favicon": "assets/sn83/favicon.png" } }, "sn84_chipforge": { "netuid": 84, "name": "ChipForge", "product": { "tagline": "AI-native semiconductor design — from sketch to verified hardware", "category": "Compute & Infrastructure", "subcategory": "AI Chip Design", "tags": [ "chip-design", "hardware", "NPU", "neural-processing-unit", "EDA", "CoralNPU", "MCU", "VLSI", "AI-hardware", "competitive-challenges" ], "status": "beta", "description": "ChipForge transforms sketches, specs, and ideas into clean, verified hardware workflows. The core engine 'SMELTR' provides intent-first HDL generation with a Reflexion Loop that auto-iterates until designs pass verification. Already in use across leading universities, engineering programs, and research labs.", "target_users": [ "semiconductor engineers", "chip design teams", "universities", "research labs", "defense contractors" ], "use_cases": [ "AI chip design", "HDL code generation", "Hardware verification", "Multimodal design (text, schematics, diagrams)" ] }, "pricing": { "model": "token-gated", "currency": "TAO", "free_tier": { "available": false, "limits": null }, "tiers": [ { "name": "Miner participation", "price": "TAO registration burn", "features": [ "Access to design challenges", "Scored on correctness (% threshold)", "TAO emission rewards for top designs", "48h submission windows" ] } ], "notes": "No GPU required for submissions. Platform focused on hardware design." }, "access": { "api_available": false, "api_url": null, "api_docs": null, "requires_auth": false, "auth_method": null, "sdk": [], "playground": null }, "links": { "website": "https://chipforge.ai", "github": null, "docs": null, "discord": null, "twitter": null, "blog": null }, "on_chain": { "owner_contact": "tatsu_ecosystem (Discord)", "logo_url": null, "additional": "Discord channel: ᚨ・chipforge・84. Operator: Tatsu Ecosystem. Challenge numbering: Challenge 0012 was recent (April 2026). CoralNPU targets ~75%+ correctness. Also developing MCU in parallel. Subnet is also called 'Tatsu'. Very engaged community of hardware engineers." }, "market_data": { "mcap_tao": 7020.9, "price_tao": 0.016189087, "tao_locked": 2147.2, "alpha_in_pool": 132634.7, "alpha_staked": 301047.1, "rank": 112, "block": "8154319", "updated_at": "2026-05-10T16:19:40.834Z" }, "sources_reviewed": [ "Discord channel: ᚨ・chipforge・84 (multiple messages)", "Discord content search for 'chipforge' references" ], "data_gaps": { "unverified": [ "Challenge scoring methodology details", "CoralNPU target specifications", "Revenue model when product ships" ], "inaccessible": [ "No public website or GitHub found" ], "missing": [ "Website", "GitHub", "Whitepaper", "Twitter", "Docs" ], "stale": [] }, "researched_at": "2026-05-02T21:10:35Z", "confidence": "medium", "notes": "Discord (Apr 2026): Challenge 0012 nearing completion, strong miner participation. CoralNPU bug being fixed. Team (tatsu_ecosystem) posts weekly Sunday Briefs. 90% emission burn rate — no revenue currently. Emissions decay after 48h per submission, must resubmit improved version. New miner (baskinta, digital design engineer) joined and is actively contributing. Community wants updated roadmap highlighting AI inference chip + MCU development.", "assets": { "favicon": "assets/sn84/favicon.png" } }, "sn85_vidaio": { "netuid": 85, "name": "Vidaio", "product": { "tagline": "AI-powered video upscaling and compression", "category": "Compute & Infrastructure", "subcategory": "Video Processing", "tags": [ "video", "upscaling", "compression", "ai-video", "decentralized", "streaming" ], "status": "live", "description": "Vidaio provides AI-powered video processing including upscaling (enhancing resolution/quality) and compression (reducing file size while maintaining quality). Videos are scored using VMAF and PieAPP quality metrics to ensure high output quality.", "target_users": [ "Content creators needing affordable video upscaling", "Businesses with large video archives needing compression", "Developers building video processing pipelines", "Streaming platforms looking to reduce bandwidth/storage costs" ], "use_cases": [ "Upscale low-resolution archival footage to HD/4K", "Compress videos by up to 80% while maintaining quality", "AI-powered video transcoding for cross-device compatibility", "Reduce cloud storage costs for video-heavy businesses" ] }, "pricing": { "model": "unknown", "currency": null, "notes": "Dashboard at vidaio.io. No consumer pricing page found." }, "access": { "api_available": true, "api_url": "https://vidaio.io", "api_docs": null, "requires_auth": null, "sdk": [ "python" ] }, "links": { "website": "https://vidaio.io", "github": "https://github.com/vidAio-subnet/vidaio-subnet", "docs": "https://github.com/vidAio-subnet/vidaio-subnet/blob/main/docs", "discord": "https://discord.gg/xhn4jxJMEX", "twitter": "https://x.com/vidaio_τ", "blog": null }, "on_chain": { "owner_contact": "Vidaio@vidaio.io", "logo_url": "https://raw.githubusercontent.com/vidAio-subnet/brand-assets/main/logos/320x320.png", "additional": "Open-source, decentralized video processing project specializing in video upscaling and compression." }, "data_gaps": { "unverified": [ "Cost reduction claims (up to 80% compression) — sourced from third-party analysis", "Whether public API is live or still in roadmap Phase 6" ], "inaccessible": [ "vidaio.io returned 429 (rate-limited/security checkpoint) — no homepage content retrieved", "No pricing page accessible" ], "missing": [ "Public API endpoint or pricing", "Discord server link", "End-user access method (how to submit videos for processing)" ] }, "researched_at": "2026-05-06T17:00:00Z", "confidence": "medium", "notes": "Active GitHub with 731 commits, last commit Apr 17 2026. Uses VMAF + PieAPP for quality scoring. MIT license. Roadmap: Phase 1-2 done (upscaling + compression), Phase 3 transcoding, Phase 4 on-demand streaming, Phase 5 live streaming, Phase 6 public API. Organic queries (real user videos) are chunked and distributed across miners. Third-party sources cite up to 80% cloud storage reduction. Positioned in DePIN + creator economy narratives. Discord shows: Two active validators (UID 0 and UID 181). Tasks: compression and upscaling. Dashboard: vidaio.io/miners/{hotkey}. Storage: hippius (intermittently available) and AWS S3. Active mining community with technical discussions about scoring.", "sources_reviewed": [ "https://github.com/vidAio-subnet/vidaio-subnet (GitHub, via Jina Reader)", "https://vidaio.io (returned 429, inaccessible)", "https://subnetalpha.ai/subnet/subnet-85/ (third-party)", "https://asymmetricjump.substack.com/p/vidaio-subnet-85-the-ai-powered-video (analysis)", "https://www.tao.media/solving-the-worlds-broken-video-infrastructure-with-vidaio/ (third-party)", "Discord message archive (ᚱ・vidaio・85)", "https://github.com/vidAio-subnet/vidaio-subnet/blob/main/docs (GitHub docs page — crawled Apr 2026, mostly GitHub nav; main docs in GitHub repo)" ], "market_data": { "mcap_tao": 48943.8, "price_tao": 0.011627301, "tao_locked": 18450.5, "alpha_in_pool": 1586825.1, "alpha_staked": 2622556.8, "rank": 24, "block": "8154319", "updated_at": "2026-05-10T16:19:40.836Z" }, "assets": { "logo": "assets/sn85/logo.png", "logo_source": "https://raw.githubusercontent.com/vidAio-subnet/brand-assets/main/logos/320x320.png", "favicon": "assets/sn85/favicon.png" }, "mcap_tao": 50382.8 }, "sn88_investing": { "netuid": 88, "name": "Investing", "product": { "tagline": "AI-powered portfolio management — the 88 Quant Fund", "category": "Predictive Systems", "subcategory": "Systematic Trading Strategies", "tags": [ "investing", "portfolio", "stocks", "dTAO", "staking", "asset-management", "index-fund", "AUM", "DeFi", "quantitative" ], "status": "live", "description": "Investing88 is an asset management platform with AI and quant-driven portfolio strategies. Features include a performance dashboard (db.investing88.ai), the '88 Quant Fund' and '88 Public Index' products, a 'Zero Code' interface for non-technical users (kym.investing88.ai), and an API (api.investing88.ai). Uses Modern Portfolio Theory optimization.", "target_users": [ "quant traders", "AI developers", "retail investors", "portfolio managers" ], "use_cases": [ "Invest in curated Public Index of top-performing portfolio strategies", "Access AI-driven portfolio management via the 88 Quant Fund", "Use Zero Code interface for non-technical portfolio management", "Track strategy performance on the live dashboard (db.investing88.ai)" ] }, "pricing": { "model": "open-source", "currency": "TAO", "free_tier": { "available": false, "limits": null }, "tiers": [ { "name": "Miner registration", "price": "TAO registration burn", "features": [ "Submit portfolio strategies", "Scored on 30-day rolling performance window", "TAO emissions for top performers" ] }, { "name": "Public Index participation", "price": "Not yet specified (beta)", "features": [ "Access to composite index of top miner strategies", "Exposure to stock + dTAO positions" ] } ], "notes": "Dashboard and tools available at db.investing88.ai and kym.investing88.ai." }, "access": { "api_available": true, "api_url": "https://api.investing88.ai", "api_docs": null, "requires_auth": true, "auth_method": "Bittensor hotkey registration", "sdk": [ "Python (validator/miner framework)" ], "playground": "https://db.investing88.ai" }, "links": { "website": "https://investing88.ai", "github": "https://github.com/mobiusfund/investing", "docs": null, "discord": null, "twitter": "https://x.com/Investing88ai", "blog": null }, "on_chain": { "owner_contact": "chaotictao, cooltao (Discord)", "logo_url": null, "additional": "Discord channel: ᛇ・invesτing・88. Twitter: @Investing88ai. Previously called 'StakingAlpha'. Features: real-time block data API from every subnet, simulated staking + trading reflecting real chain. Dashboard for monitoring miner UIDs and strategies. UID/hotkey collision edge cases handled by validator. GitHub code pushed to miners via Discord bot notifications but repo URL not found." }, "market_data": { "mcap_tao": 18984.6, "price_tao": 0.004468676, "tao_locked": 7083.1, "alpha_in_pool": 1585057.2, "alpha_staked": 2663311.5, "rank": 71, "block": "8154319", "updated_at": "2026-05-10T16:19:40.838Z" }, "sources_reviewed": [ "Discord channel: ᛇ・invesτing・88 (30+ messages)", "https://x.com/Investing88ai" ], "data_gaps": { "unverified": [ "AUM app launch date", "Public Index open enrollment timeline", "GitHub repository URL" ], "inaccessible": [ "No public website found", "GitHub repo URL not discovered" ], "missing": [ "Website", "GitHub repo URL", "Docs", "Pricing for investors" ], "stale": [] }, "researched_at": "2026-05-02T21:10:35Z", "confidence": "medium", "notes": "Discord (Apr 2026): Active discussion about dashboard scores, UID registration, Rinit=5 scoring update. Team (chaotictao) responsive. Dashboard updates daily. 3rd UID/hotkey collision case ever recorded. Miners submit portfolios for US stocks. Scoring function actively maintained.", "assets": { "favicon": "assets/sn88/favicon.png" } }, "sn89_infinitehash": { "netuid": 89, "name": "InfiniteHash", "product": { "tagline": "Bitcoin mining pool with Lightning Network infrastructure", "category": "Compute & Infrastructure", "subcategory": "Decentralized Bitcoin Mining", "tags": [ "bitcoin-mining", "lightning-network", "depin", "hashrate", "btc", "asic", "decentralized-pool" ], "status": "live", "description": "InfiniteHash combines Bitcoin mining with Lightning Network infrastructure. Point ASICs at the InfiniteHash stratum proxy (stratum.infinitehash.xyz:9332) for pooled Bitcoin mining.", "target_users": [ "Bitcoin ASIC operators", "Lightning Network node operators", "crypto infrastructure providers", "Bitcoin mining operations" ], "use_cases": [ "Point ASICs at InfiniteHash stratum proxy for pooled Bitcoin mining", "Lightning Network node operation for AI-powered payments", "Access a decentralized Bitcoin mining pool with no centralized operator", "Democratic, permissionless access to Bitcoin mining rewards" ] }, "pricing": { "model": "token-gated", "currency": "Alpha (IH)", "free_tier": { "available": false, "limits": null }, "tiers": [ { "name": "Phase 1 - Hashrate Mining", "price": null, "description": "Mine BTC via ASICs pointed at InfiniteHash stratum proxy. Earn alpha proportional to hashrate. All mined BTC converted to alpha and burned." } ], "notes": "operators need Bitcoin ASICs. Pool fee structure not publicly disclosed." }, "access": { "api_available": true, "api_url": null, "api_docs": "https://github.com/backend-developers-ltd/InfiniteHash/blob/master/installer/README.md", "requires_auth": false, "auth_method": null, "sdk": [], "playground": null }, "links": { "website": "https://www.infinitehash.xyz", "github": "https://github.com/backend-developers-ltd/InfiniteHash", "docs": "https://github.com/backend-developers-ltd/InfiniteHash/blob/master/installer/README.md", "discord": null, "twitter": null, "blog": null }, "on_chain": { "owner_contact": "odd_m (Discord), Wit (referenced as owner via Infinite Quant)", "logo_url": null, "additional": "Discord channel: ᛒ・infiniτehash・89. Stratum endpoint: stratum.infinitehash.xyz:9332. Website currently paused (402). Related entity: Infinite Quant." }, "market_data": { "mcap_tao": 14968.4, "price_tao": 0.003841151, "tao_locked": 6737.4, "alpha_in_pool": 1754008.1, "alpha_staked": 2142850, "rank": 88, "block": "8154319", "updated_at": "2026-05-10T16:19:40.838Z" }, "sources_reviewed": [ "https://github.com/backend-developers-ltd/InfiniteHash", "https://www.infinitehash.xyz (paused)", "Discord channel infinitehash-89" ], "data_gaps": { "unverified": [ "Lightning Network phase status", "pool fee structure", "relationship with Infinite Quant" ], "inaccessible": [ "infinitehash.xyz website (deployment paused)", "infinitehash.xyz returns 402 Deployment Paused (hosting unpaid, as of 2026-05-10)" ], "missing": [ "pricing page", "Phase 2 timeline", "Lightning node requirements" ], "stale": [] }, "researched_at": "2026-04-29T15:50:00.000Z", "confidence": "high", "notes": "Well-documented via GitHub README and Discord messages. Two-phase model clearly described. Website deployment paused (402 error) but GitHub is active. Concerns raised in community about relationship between InfiniteHash and Infinite Quant (Wit's side project). Braiins proxy deprecated in favor of InfiniteHash Proxy (IHP).", "assets": { "favicon": "assets/sn89/favicon.png" } }, "sn93_bitcast": { "netuid": 93, "name": "Bitcast", "product": { "tagline": "Decentralized creator marketing on X/Twitter — Stitch3 rewards tweets about real projects", "category": "Data Pipeline", "subcategory": "Creator Marketing", "tags": [ "influencer-marketing", "x-twitter", "creator-economy", "web3", "campaigns", "decentralized" ], "status": "live", "description": "Bitcast has pivoted to Stitch3 (x.bitcast.network), a decentralized X/Twitter creator marketing platform. Brands post campaigns, creators (KOLs) share their perspective on X/Twitter and earn TAO rewards based on engagement. The platform only works with real projects (vetted list). Top rewarded tweet: ~$481. Average reward per tweet: ~$44. Validation is exploit-proof via on-chain verification of real influence. No contracts, no negotiations, no invoices.", "target_users": [ "X/Twitter content creators and KOLs", "Crypto and AI projects seeking authentic promotion", "Marketing teams running influencer campaigns" ], "use_cases": [ "Creators earn rewards for posting about vetted crypto/AI projects on X/Twitter", "Brands run influencer campaigns with verified creator audiences via Stitch3", "Projects get authentic promotion — no contracts, no negotiations, no invoices", "Anti-exploit verification ensures real engagement from genuine creators" ] }, "pricing": { "model": "usage-based", "currency": "TAO", "notes": "Campaign briefs cost ~10 tokens each. Creator portal at x.bitcast.network." }, "access": { "api_available": true, "requires_auth": true, "auth_method": "wallet", "playground": "https://x.bitcast.network", "api_url": "https://x.bitcast.network" }, "links": { "website": "https://www.bitcast.network", "github": "https://github.com/bitcast-network/bitcast-x", "docs": null, "discord": "https://discord.com/invite/bittensor", "twitter": "https://x.com/Stitch3_ai", "blog": null }, "on_chain": { "owner_contact": null, "logo_url": "https://bitcast-logo.s3.us-west-2.amazonaws.com/Bitcast+logo+multi+white.webp", "additional": "Subnet 93 is the first Bittensor application aimed at content marketing rather than pure AI model training." }, "data_gaps": { "unverified": [ "Exact reward formula details (7-day moving average of watch time)", "Number of active creators and campaigns as of April 2026" ], "inaccessible": [ "dashboard.bitcast.network requires authentication", "No public docs site found" ], "missing": [ "Brand campaign pricing / cost to post a brief", "Public API for advertisers or developers", "Discord server specific to Bitcast (uses Bittensor Discord)" ] }, "researched_at": "2026-05-06T17:00:00Z", "confidence": "high", "notes": "Bitcast has pivoted from YouTube to X/Twitter influencer marketing. The new platform is branded Stitch3 at x.bitcast.network. Only working with real/vetted projects (Inference, Crucible, SubQuery, Bitget, Bittensor, Score, BitMind, Desearch listed). $481.39 top rewarded tweet; $44.68 avg reward per tweet based on previous campaigns. bitcast.network website appears blank (redirecting). Telegram: t.me/bitcast93. GitHub repo changed to bitcast-x for the X platform. $600k+ alpha burned for deflationary tokenomics.", "sources_reviewed": [ "https://www.bitcast.network (homepage, via Jina Reader)", "https://subnetalpha.ai/subnet/bitcast/ (detailed analysis, via Jina Reader)", "https://bittensor.ai/subnets/93 (on-chain info)", "https://github.com/bitcast-network/bitcast (GitHub)", "Discord message archive (ᚃ・biτcasτ・93)", "https://x.bitcast.network (Stitch3 platform)" ], "assets": { "favicon": "assets/sn93/favicon.ico", "favicon_source": "https://www.bitcast.network/favicon.ico", "logo": "assets/sn93/logo.webp", "logo_source": "https://bitcast-logo.s3.us-west-2.amazonaws.com/Bitcast+logo+multi+white.webp" }, "market_data": { "mcap_tao": 61898.1, "price_tao": 0.015109216, "tao_locked": 20097.4, "alpha_in_pool": 1330144.4, "alpha_staked": 2766567.7, "rank": 19, "block": "8154319", "updated_at": "2026-05-10T16:19:40.842Z" }, "mcap_tao": 60597.9 }, "sn95_unknown": { "netuid": 95, "name": "Actual", "product": { "tagline": "AI inference on Apple Silicon (in development)", "category": "Compute & Infrastructure", "subcategory": "Compute-Optimized Inference Networks", "tags": [ "compute", "decentralized", "apple-silicon", "gpu", "clustering", "mac" ], "status": "live", "description": "Actual Computer is building an AI inference platform focused on Apple Silicon devices. Currently invite-only with email-based access requests.", "target_users": [ "Apple Silicon device owners", "Mac users with compute to contribute", "Developers needing decentralized GPU clusters" ], "use_cases": [ "Cluster Apple Silicon devices for decentralized compute", "Mix GPU architectures (NVIDIA + Apple) in compute clusters", "Contribute Mac compute resources and earn rewards" ] }, "pricing": { "model": "unknown", "currency": null, "free_tier": null, "tiers": [], "notes": "No pricing information found — product is not yet publicly available." }, "access": { "api_available": false, "api_url": null, "api_docs": null, "requires_auth": true, "auth_method": null, "sdk": [], "playground": "https://actual.computer/login" }, "links": { "website": "https://actual.computer", "github": null, "docs": null, "discord": null, "twitter": null, "blog": null }, "on_chain": { "owner_contact": null, "logo_url": null, "additional": "Discord channel: ᚅ・actual・95. Owner wallet: 5D5UhUuc6cC47CXUBHyBkpDBrdeyeL6bpWGAreZgNm5WTyrg." }, "data_gaps": { "unverified": [ "What the subnet actually does — completely unknown" ], "inaccessible": [ "No website to crawl", "No GitHub to review" ], "missing": [ "Identity", "Team", "Product description", "Website", "GitHub", "Discord", "Twitter", "Pricing", "All contact information" ], "stale": [] }, "researched_at": "2026-05-02T21:10:35Z", "confidence": "low", "sources_reviewed": [ "https://subnetradar.com/subnet/95", "https://taostats.io/subnets/95", "Discord message archive (ᚅ・actual・95)" ], "notes": "Discord (Apr 2026): Clustering confirmed working — M3 Pro + GTX 1650, M4 + M3 Pro tested by beta tester (obscuredmoonlit). Apple eGPU driver approval for Apple Silicon opens NVIDIA + Mac clustering possibility. \"Actual client\" exists. Team (defimorphosis/Tom) in stealth — \"talk less, deliver more.\" Community notes \"huge gaps and opportunities\" in ecosystem. Former SN3/39/81 crew were active fudders but those subnets now deprecated. Miners asking \"is anyone getting tokens?\" — suggests pre-revenue. Has login/signup page at actual.computer/login as of 2026-05-10.", "market_data": { "mcap_tao": 86373.4, "price_tao": 0.033038945, "tao_locked": 20050.3, "alpha_in_pool": 606867.8, "alpha_staked": 2007422.5, "rank": 14, "block": "8154319", "updated_at": "2026-05-10T16:19:40.847Z" }, "assets": { "favicon": "assets/sn95/favicon.png" }, "mcap_tao": 73053.8 }, "sn96_verathos": { "netuid": 96, "name": "Verathos", "product": { "tagline": "Verified intelligence for everyone — AI you can verify, not trust", "category": "Compute & Infrastructure", "subcategory": "Serverless Inference", "tags": [ "verified-inference", "zkml", "cryptographic-proofs", "openai-compatible", "llm-inference", "verified-training", "x402" ], "status": "live", "description": "Verathos is a verified AI inference network that provides an OpenAI-compatible API where every response is cryptographically proven correct via sumcheck-based verification over Merkle-committed model weights. Supports all major open-weight models (Llama, Qwen, DeepSeek, Gemma, Mistral, GPT-oss) at competitive pricing. Accepts payment via TAO, USDC, or x402 pay-per-request for autonomous agents.", "target_users": [ "AI developers needing verifiable inference", "Autonomous AI agents requiring trustworthy tool calls", "Enterprises requiring auditable AI outputs", "AI agent framework developers (LangChain, LiteLLM, elizaOS, AutoGen)" ], "use_cases": [ "Drop-in OpenAI API replacement with cryptographic verification on every response", "Verified LLM inference for applications where AI honesty must be auditable", "Autonomous agent payments via x402 (USDC per request, no account needed)", "Fine-tune LoRA adapters with cryptographically verified training" ] }, "pricing": { "model": "usage-based", "currency": "USD", "free_tier": { "available": false, "limits": null }, "tiers": [ { "name": "Small models", "price": "$0.08 input / $0.14 output per 1M tokens", "features": [ "Qwen3-8B", "Qwen3.5-9B", "Llama-3.1-8B" ] }, { "name": "Medium models", "price": "$0.20 input / $0.35 output per 1M tokens", "features": [ "Qwen3-14B", "Gemma-3-27B", "GPT-oss-20B", "Qwen3.5-35B-A3B" ] }, { "name": "Large models", "price": "$0.35 input / $0.65 output per 1M tokens", "features": [ "Llama-3.3-70B", "Qwen3.5-122B-A10B" ] }, { "name": "XL models", "price": "$0.50 input / $1.20 output per 1M tokens", "features": [ "Qwen3-235B-A22B", "DeepSeek-V3", "GPT-oss-120B", "MiniMax-M2.5", "Kimi-K2" ] } ], "notes": "Verification cost included in price. Payment methods: TAO deposit (100% buys subnet alpha), USDC deposit (on Base L2), or x402 pay-per-request (USDC per HTTP request, no account needed). TAO deposits have 0% owner cut (configurable up to 20%)." }, "access": { "api_available": true, "api_url": "https://api.verathos.ai/v1", "api_docs": "https://verathos.ai/docs", "requires_auth": true, "auth_method": "api-key", "sdk": [ "python", "javascript" ], "playground": null }, "links": { "website": "https://verathos.ai", "github": "https://github.com/verathos-ai/verathos", "docs": "https://verathos.ai/docs", "discord": null, "twitter": null, "blog": null }, "on_chain": { "owner_contact": "info@verathos.ai", "logo_url": "https://raw.githubusercontent.com/verathos-ai/verathos/main/assets/logo.png", "additional": "" }, "data_gaps": { "unverified": [ "x402 payment integration — documented but not independently tested", "Verified training — described as 'in testing', not yet active on network" ], "inaccessible": [ "verathos.ai/pricing — page exists but renders empty (JS-only, no content)", "verathos.ai/docs?page=api — Jina Reader rejected query-param URLs; direct fetch returned empty JS shell" ], "missing": [ "No Discord server found (on-chain discord field is empty)", "No Twitter/X account found", "No playground/demo interface for trying the API without an account", "No public pricing page — pricing only documented in /docs" ], "stale": [] }, "researched_at": "2026-05-12T14:05:00Z", "confidence": "high", "sources_reviewed": [ "https://verathos.ai (via Jina Reader) — homepage with full product description and roadmap", "https://verathos.ai/docs (via Jina Reader) — comprehensive docs: architecture, API, pricing, integrations, proof system", "https://verathos.ai/pricing (via Jina Reader) — rendered empty", "https://github.com/verathos-ai/verathos (via Jina Reader) — README, commit history (14 commits, last May 11 2026)", "https://subnetradar.com/subnet/96 (via Jina Reader) — market data, health score, network stats", "On-chain identity (subnetIdentitiesV3)", "Discord channel ᚛・veraτhos・96 (AlloyDB search, 45 messages) — minimal product/pricing discussion" ], "notes": "Very new subnet (registered ~May 5, 2026 based on 7d price history). Active solo developer (Keplerteron). Verification approach: ZK-inspired sumcheck proofs over Merkle-committed weights, generated during CUDA graph execution with single-digit % overhead. Validators verify on CPU in milliseconds. Supports multiple model endpoints per UID via Bittensor EVM smart contracts. Integrations with LiteLLM, LangChain, elizaOS, OpenClaw, Hermes, AutoGen. Roadmap: Phase 1 (Verified Inference) live → Phase 2 (Intelligent Routing) next → Phase 3 (Verified Training) in testing → Phase 4 (Agent-Orchestrated Experts) planned → Phase 5 (Autonomous Intelligence). Low liquidity: only 297.8 TAO locked, ranked #128/128 by market cap. Health score 41 (Weak) per SubnetRadar.", "assets": { "favicon": "assets/sn96/favicon.png" }, "market_data": { "mcap_tao": 681, "price_tao": 0.015493, "tao_locked": 298, "alpha_in_pool": 19200, "alpha_staked": 0, "rank": 128, "block": "8168040", "updated_at": "2026-05-12T14:07:00Z" } }, "sn97_distil": { "netuid": 97, "name": "Distil", "product": { "tagline": "Competitive model distillation — smaller AI models that outperform larger ones", "category": "Model & Agent Development", "subcategory": "Model Distillation", "tags": [ "model distillation", "LLM", "Qwen", "knowledge distillation", "competitive AI", "leaderboard", "open weights" ], "status": "live", "description": "Distil produces compact, high-performance AI models through competitive distillation. The current focus is compressing large models into smaller ones (≤5B parameters) that match or beat the originals. Free public API at api.arbos.life and chat interface at chat.arbos.life. Dashboard at distil.arbos.life.", "target_users": [ "ML researchers", "model compression engineers", "AI developers wanting open distilled models" ], "use_cases": [ "Producing efficient open-weight distilled models (≤5B) competitive with 35B+ teachers", "Benchmarking distillation techniques (KL, on-policy RKL, GRPO, post-distillation SFT)", "Chatting with the top community-distilled model at chat.arbos.life", "Accessing distillation leaderboard and scores via public API" ] }, "pricing": { "model": "free", "currency": null, "free_tier": true, "tiers": [], "notes": "Public API (api.arbos.life) is free with no authentication. Chat interface (chat.arbos.life) is free. Dashboard (distil.arbos.life) is free." }, "access": { "api_available": true, "api_url": "https://api.arbos.life", "api_docs": "https://api.arbos.life", "requires_auth": false, "auth_method": null, "sdk": null, "playground": "https://chat.arbos.life" }, "links": { "website": "https://distil.arbos.life", "github": "https://github.com/unarbos/distil", "docs": "https://github.com/unarbos/distil/blob/main/docs/MINER_FAQ.md", "discord": "@Arbos", "twitter": null, "blog": null }, "on_chain": { "owner_contact": "arbos@bittensor.com", "logo_url": "https://pub-0821b4e0d60149b79bad17376722bc75.r2.dev/assets/droplet.png", "additional": { "netuid_confirmed": 97, "teacher_model": "Qwen/Qwen3.5-35B-A3B", "student_max_params": "5.25B", "required_architecture": "Qwen3_5ForConditionalGeneration (model_type=qwen3_5)", "required_tokenizer": "Qwen3.5-35B-A3B (vocab_size=248,320)", "emission_model": "winner-take-all — king (highest composite.final) gets 100% of emissions", "evaluation_api_endpoints": [ "GET /api/metagraph", "GET /api/commitments", "GET /api/scores", "GET /api/price", "GET /api/health" ], "validator_gpu_requirement": "1x B200 192GB recommended (~100GB VRAM minimum)", "disqualification_reasons": [ "COPY (SHA256 duplicate weights)", "REMOVED (model deleted/made private)", "INVALID (wrong architecture/too large/quantized)" ] } }, "market_data": { "mcap_tao": 17022.3, "price_tao": 0.033444728, "tao_locked": 4651.7, "alpha_in_pool": 139086.4, "alpha_staked": 369882.7, "rank": 81, "block": "8154319", "updated_at": "2026-05-10T16:19:40.854Z" }, "sources_reviewed": [ "https://github.com/unarbos/distil/blob/main/README.md", "https://distil.arbos.life", "https://api.arbos.life", "https://icm-analytics.com/bittensor/subnets/97/" ], "data_gaps": { "unverified": [ "Current king model identity", "Number of active miners", "Exact emission schedule" ], "inaccessible": [ "distil.arbos.life website (DNS resolution failure at time of research)", "chat.arbos.life content" ], "missing": [ "Twitter/X handle", "Discord server", "Logo URL" ], "stale": [] }, "researched_at": "2026-04-29T15:35:00Z", "confidence": 0.88, "notes": "Extremely well-documented subnet with detailed README. One commitment per hotkey is permanent — miners must register a new hotkey to submit a different model after disqualification. The composite scoring system is sophisticated with anti-gaming measures (SHA256 hash, logit fingerprinting, reasoning density anti-spiral). Community contribution: winglian contributed the KL distillation training script.", "assets": { "favicon": "assets/sn97/favicon.png" }, "mcap_tao": 18264.6 }, "sn98_forevermoney": { "netuid": 98, "name": "ForeverMoney", "product": { "tagline": "Automated Uniswap V3 and Aerodrome liquidity management", "category": "Finance", "subcategory": "Automated Liquidity Management", "tags": [ "DeFi", "Uniswap-V3", "Aerodrome", "liquidity-provision", "LP", "Base-L2", "AI-strategies", "rebalancing", "AMM" ], "status": "live", "description": "ForeverMoney optimizes Uniswap V3 and Aerodrome liquidity provision through competitive AI strategies. Create a vault with at least $100 in liquidity per trading pair and let AI strategies dynamically rebalance your positions on Base L2.", "target_users": [ "DeFi traders", "LP strategy developers", "Quantitative traders", "AI/ML researchers applying to DeFi", "Liquidity providers on Base L2" ], "use_cases": [ "Automated Uniswap V3 liquidity range management on Base L2", "Aerodrome LP strategy optimization", "AI-driven dynamic rebalancing of LP positions", "Create a vault with $100+ and let competitive AI strategies manage your liquidity" ] }, "pricing": { "model": "token-gated", "currency": "TAO", "free_tier": { "available": false, "limits": null }, "tiers": [ { "name": "Miner participation", "price": "TAO registration burn + minimum $100 USD LP vault per pair", "features": [ "Access to validator queries", "Evaluation rounds", "Live execution eligibility after 7 days", "TAO emission rewards for top strategies" ] } ], "notes": "Create a vault on forevermoney.ai with at least $100 USD in liquidity per trading pair. No GPU required. Strategies compete in simulation; winners execute live on Base L2." }, "access": { "api_available": true, "api_url": "https://forevermoney.ai", "api_docs": "https://docs.forevermoney.ai", "requires_auth": true, "auth_method": "EVM wallet + Bittensor hotkey registration", "sdk": [ "Python (rebalance_query_handler interface)" ], "playground": "https://forevermoney.ai" }, "links": { "website": "https://forevermoney.ai", "github": "https://github.com/SN98-ForeverMoney/forever-money", "docs": "https://docs.forevermoney.ai", "discord": null, "twitter": null, "blog": null }, "on_chain": { "owner_contact": "philkk (Discord, team lead)", "logo_url": null, "additional": "Channel: ბ・forevermoney・98. Team members: philkk, 0xardi. Protocol uses Sonar Labs branding. Docs at docs.sonarlabs.xyz/sn98 (content redacted) and docs.forevermoney.ai. 94 commits on GitHub, MIT license. Testnet netuid: 374." }, "market_data": { "mcap_tao": 15909.1, "price_tao": 0.004060851, "tao_locked": 6229.1, "alpha_in_pool": 1533946.9, "alpha_staked": 2383731.3, "rank": 86, "block": "8154319", "updated_at": "2026-05-10T16:19:40.861Z" }, "sources_reviewed": [ "https://docs.forevermoney.ai/Miner-Guide-Requirements-32679a8d03ad81de83dce38e14317534", "https://github.com/SN98-ForeverMoney/forever-money", "https://docs.sonarlabs.xyz/sn98", "Discord channel: ბ・forevermoney・98" ], "data_gaps": { "unverified": [ "Revenue model / validator income", "Current active pools", "Total TVL in vaults" ], "inaccessible": [ "docs.sonarlabs.xyz/sn98 content is redacted" ], "missing": [ "Twitter handle", "Discord invite link" ], "stale": [] }, "researched_at": "2026-04-29T15:49:00.000Z", "confidence": "high", "notes": "Active subnet with live validators, functioning miner vaults, GitHub with 94 commits and active PRs. Clear product: decentralized LP strategy competition on Base L2. Miners noted as whitelisted historically but whitelist now removed. Also associated with Sonar Labs branding.", "assets": { "favicon": "assets/sn98/favicon.png", "favicon_source": "https://forevermoney.ai/favicon.png" } } } }