EventTrader research desk · generated 2026-11-06 00:15 UTC · report ai-adapt-crypto-white-fet-20261106 · built from the public-data evidence pack by the platform
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|---|---|
| Project | \nFET — Artificial Superintelligence Alliance · CoinGecko fetch-ai | \n
| Book | \nAMF-WHITESWAN-CRYPTO (long) — WhiteSwan Crypto | \n
| Composition algorithm | \nSwan Composite v1.1.0 — 67% AI Adaptation Score + 33% market verdict versus BTC, conviction-weighted | \n
| Level | \n4 — greenfield — built with AI from the ground up · model-confirmed | \n
| AI Adaptation Score | \n80.3 / 100 · run 2026-11-06 | \n
| Place in the book | \nrank 4 of 6 · composite 68.2 · market verdict 44.0 · weight 13.1% | \n
Verbatim from the project's own materials:
\n\n\n\"ASI | Artificial Superintelligence Alliance – Artificial Superintelligence Alliance: Research and Infrastructure for Decentralized AGI Skip to main content ASI:Chain DevNet Launches to Power Early Testing of the Infrastructure Behind Open AGI LEARN MORE Hit enter to search or ESC to close Close Search search Menu Products View All Products ASI:Chain ASI1-mini LLM ASI:Cloud Agentverse ASI Wallet Infrastructure Research Community Developer Hub ASI:Accelerator Grants Blog Events FAQ Follow Us About ASI TOKEN (FET) About Team Partnerships search ASI:Chain: The First AI-Native Layer-1 The uni\" — homepage [S2]\n\"It evolves CUDOS Intercloud into the AI compute layer for the ASI Alliance and the wider AI developer ecosystem, prioritizing open access, transparent pricing and per-pay-token access to state-of-the-art open-source Large Language Models (LLMs).\" — homepage [S2]\n\"As the largest open-sourced, independent entity in decentralized AI research and development, this Alliance aims to accelerate the advancement of decentralized Artificial General Intelligence (AGI) and, ultimately, Artificial Superintelligence.\" — docs [S4]\n\"Learn More ASI1 Introducing ASI-1 Mini with Knowledge Graph Integration – A First-of-Its-Kind Conversational AI Experience Introducing ASI-1 Mini with Knowledge Graph Integration – A First-of-Its-Kind Conversational AI Experience March 5, 2025 Infrastructure Infrastructure Overview FEATURED ASI:Cloud ASI:Cloud is a permissionless GPU Cloud and AI inference platform developed by the ASI Alliance (CUDOS × SingularityNET).\" — homepage [S2]\n\"Fetch.ai (FET) is a decentralized machine learning platform enabling autonomous agents for DeFi, transport, and supply chain.\" — profile [S1]\n\"Get Started Learn More Get Started with ASI:Cloud AI and GPU Cloud for AI builders, developers and enterprises.\" — homepage [S2]\n\"Decentralized Control Open Ecosystem Privacy First Transparent & Open Source Aligned Incentives Modular Infrastructure Join us ASI Token ($FET) Explore Products Start Building with ASI Grants Community Overview Products Products Overview FEATURED ASI:ONE Web3 Native LLM ASI-1 Mini is the world’s first Web3-native large language model (LLM), engineered for autonomous, agentic workflows.\" — homepage [S2]\n\"View Infrastructure View ASI:Cloud Join the Builders Behind Decentralized AI Collaborate, share, and build in the ASI Developer Forum—where tools, grants, and global talent meet.\" — homepage [S2]
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\n\n\"ASI:Chain: The First AI-Native Layer-1\" — model evidence, homepage [S1]\n\"Fetch.ai (FET) is a decentralized machine learning platform enabling autonomous agents for DeFi, transport, and supply chain.\" — model evidence, profile [S1]\n\"ASI-1 Mini is the world’s first Web3-native large language model (LLM), engineered for autonomous, agentic workflows.\" — model evidence, homepage [S1]\n\"ASI:Cloud is a permissionless GPU Cloud and AI inference platform developed by the ASI Alliance (CUDOS × SingularityNET).\" — model evidence, homepage [S1]\n\"this Alliance aims to accelerate the advancement of decentralized Artificial General Intelligence (AGI) and, ultimately, Artificial Superintelligence.\" — model evidence, docs [S1]
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The crypto AI Adaptation Score reads each project's PUBLIC materials only: its CoinGecko profile (description, categories, links, genesis date, developer data), its homepage (text, AI markers, embedded AI widgets), A2A / MCP agent cards and llms.txt on its own domain, its whitepaper and docs, and its GitHub repositories (push recency, READMEs, the ML frameworks named in dependency manifests). Deterministic features set a level on a 0–4 rubric (no mention · AI in name only · bolt-on · AI-native · greenfield, built with AI from the ground up); a model read of the same evidence confirms the level and scores credibility and greenfield; the score combines level, greenfield, credibility, trajectory and developer activity, with greenfield carrying the highest reward. The books are composed by Swan Composite v1.1.0: each coin's composite is 67% AI Adaptation Score + 33% market verdict — the market verdict is the Failure-To-Adapt fund's selection signal, the signed down/up capture ratio of the coin against BTC over 90 days (a coin that falls more and rises less than BTC scores below 50). AMF-BLACKSWAN-CRYPTO holds the ten lowest composites among coins that claim AI that pass the liquidity screen, the new-listing gate and the crowded-short gate, and AMF-WHITESWAN-CRYPTO the ten highest, weighted by conviction (rank and market agreement, each leg 5–20%), recomposed on every scoring run. Every quote is the project's text verbatim; every factual sentence names its source; a document the platform could not reach is reported as missing.
\nThis report is information, not investment advice. Figures come from the cited sources as of their dates. Nothing here is a recommendation to buy, sell or hold any asset.
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