Crypto AI Adaptation Research Report — RSR (Reserve Rights) · BlackSwan Crypto constituent

EventTrader research desk · generated 2026-11-05 00:29 UTC · report ai-adapt-crypto-black-rsr-20261105 · built from the public-data evidence pack by the platform

Verdict

• RSR is a BlackSwan constituent on scoring run 2026-11-05: level 1 — AI in name only — because its public materials claim AI but the platform could verify little or nothing behind the claim [S1].
• Its crypto AI Adaptation Score is 23.0 / 100 (the lowest tail of the AI-claiming universe) [S1].
• Level confirmation: a model read confirmed the level [S1].

What the project says about AI

• Claim layer: AI in the name no; AI category on CoinGecko no (Decentralized Finance (DeFi), Arbitrum Ecosystem, Ethereum Ecosystem, Real World Assets (RWA), Base Ecosystem, Coinbase Ventures Portfolio, Energi Ecosystem, Made in USA); AI markers on the homepage 1 [S1].
• Substance: 8 AI sentences across 8 fetched documents (3,313 words): 0 describe AI as the protocol, 0 state an AI origin (built from the ground up), 0 proprietary models / data, 0 bolt-on feature language, 1 name a third-party AI vendor, 0 deployment, 5 with numbers [S1].

Verbatim from the project's own materials:

"The basket is composed of companies that generate significant revenue from AI data-center power demand, weighted by market capitalization with a 20% cap and a $10B minimum market cap, rebalanced quarterly. 24H -- Chain BNB 7D -- Governed By RSR holders YTD -- Inception Jun 10, 2026 GEV 20.25 % ETN 18.50 % CEG 12.51 % VRT 11.96 % PWR 11.12 % BE 7.23 % VST 5.82 % ON 3.46 % HUBB NVT Buy Reserve Magnificent 7 DTF $ MAG7 The Reserve Magnificent 7 DTF (MAG7) offers equal-weight exposure to Alphabet, Amazon, Apple, Meta Platforms, Microsoft, Nvidia, and Tesla." — homepage [S3] "The basket holds the 25 largest US-listed companies across this AI hardware stack, weighted by market capitalization with a 10% cap, rebalanced quarterly. 24H -- Chain BNB 7D -- Governed By RSR holders YTD -- Inception Jun 9, 2026 NVDA 12.23 % TSM 10.91 % AVGO 10.85 % MU 10.06 % AMD 7.83 % ASML 6.92 % INTC 4.68 % LRCX 3.84 % AMAT 3.83 % DELL 3.37 % GEV ARM ANET IBM SNDK KLAC MRVL ETN GLW CEG VRT PWR Buy Reserve AI Capacity & Neocloud DTF $ NEOCLOUD The Reserve AI Capacity & Neocloud DTF (NEOCLOUD) is a weighted basket of public, US-listed neocloud and AI data-center companies at the center of" — homepage [S3] "The basket is composed of companies that generate significant revenue from AI compute demand, weighted by market capitalization with a 20% cap and a $5B minimum market cap, rebalanced quarterly. 24H -- Chain BNB 7D -- Governed By RSR holders YTD -- Inception Jun 10, 2026 NBIS 23.69 % CRWV 23.12 % IREN 15.49 % HUT 9.99 % APLD 7.81 % WULF 7.24 % CIFR 6.85 % CORZ 5.81 % Buy Reserve AI Power DTF $ POWER The Reserve AI Power DTF (POWER) is a weighted basket of public, US-listed power companies at the center of the AI buildout." — homepage [S3] "The basket is composed of companies that generate significant revenue from AI data-center photonics demand, weighted by market capitalization with a 20% cap and a $5B minimum market cap, rebalanced quarterly. 24H -- Chain BNB 7D -- Governed By RSR holders YTD -- Inception Jun 5, 2026 LITE 22.28 % GLW 21.01 % COHR 17.39 % CIEN 16.56 % TSEM 7.72 % MTSI 6.60 % FN 4.70 % AAOI Buy Reserve AI Infrastructure DTF $ BUILDOUT The Reserve AI Infrastructure DTF (BUILDOUT) is a weighted basket of public, US-listed semiconductor and hardware companies at the center of the AI buildout." — homepage [S3] "The basket rebalances every two months. 24H -- Chain Base 7D -- Governed By RSR holders YTD -- Inception Aug 20, 2026 USDC 42.36 % AAPL 15.20 % META 14.57 % NVDA 13.97 % GOOGL 13.90 % Buy Reserve Robotics DTF $ ROBOTS The Reserve Robotics DTF (ROBOTS) is a weighted basket of public, US-listed robotics and automation companies at the center of the AI buildout." — homepage [S3] "Can you give an example? ⌘ Ctrl i AI Based on your context Send Reserve Docs Introduction What is the Reserve project?" — docs [S6] "Long-term goal How it works How to participate Core components RSR (Reserve Rights) Index DTFs Yield DTFs Project milestones Project updates Risks FAQ Powered by GitBook On this page For the complete documentation index, see llms.txt ." — docs [S6] "Long-term goal How it works How to participate RSR (Reserve Rights) INDEX DTFS Overview Pricing Minting & redeeming Roles Fees Rebalancing Security Deployment guide Smart contracts YIELD DTFS Overview Minting & redeeming Protocol operations Security Deployment guide PROJECT INFORMATION Project milestones Project updates Risks FAQ ECOSYSTEM Careers Media kit Governance Monetarium Contact Store Hold your share of the world’s wealth in Reserve Reserve lets you buy an entire portfolio as a single token Product description Performance Product backing Buy Reserve AI Photonics DTF $ PHOTON The Reserv" — homepage [S3]

What can be verified

• Agent card (A2A / MCP) on the project's own domain: none; llms.txt: found; embedded AI support widget: none [S1].
• Repositories inspected: 1; ML frameworks in dependency manifests: none; last push unknown; stars 0; commits in the last 4 weeks unknown [S1].
• Verified-evidence points: 1 (ML code, agent card, widget, llms.txt, README depth, deployed products with numbers) [S1].
• Documents the platform could NOT fetch (reported, not filled in): whitepaper https://reserve.org/protocol/introduction/ (404) [S1].

Score and level

• The crypto AI Adaptation Score weighs the level (0–4) at 45%, greenfield (built with AI from the ground up, level 3+) at 20%, credibility at 15%, trajectory at 12% and developer activity at 8%, the last two relative to the crypto universe [S1].
• RSR: level 11.2, greenfield 0.0, credibility 3.0, trajectory 5.2, developer activity 3.5 points → 23.0 [S1].
• Model read: level 1 (name_only), confidence 0.72; sub-scores product 1.0, code evidence 0.0, data moat 0.0, credibility 2.0, greenfield 0.0 (each 0–10) [S1].
• Model summary: "RSR is a DeFi/RWA protocol for tokenized stock portfolios. "AI" appears only as the investment theme of baskets holding AI-sector equities (NVDA, etc.), not as technology. A docs chatbot is the lone bolt-on. No ML frameworks, no agent card, no AI mechanism — thematic naming, AI-washing.}" [S1].

"The Reserve AI Capacity & Neocloud DTF (NEOCLOUD) is a weighted basket of public, US-listed neocloud and AI data-center companies at the center of" — model evidence, homepage [S1] "The basket is composed of companies that generate significant revenue from AI compute demand, weighted by market capitalization with a 20% cap and a $5B minimum market cap, rebalanced quarterly." — model evidence, homepage [S1] "Can you give an example? ⌘ Ctrl i AI Based on your context Send Reserve Docs Introduction What is the Reserve project?" — model evidence, docs [S1] "Reserve lets you buy an entire portfolio as a single token" — model evidence, homepage [S1]

• Market: cap $88.9M, 24 h volume $6.8M, rank 291 (CoinGecko, as of the run) [S1].

Risks to this view

• A short on an AI-washing thesis is squeeze-exposed: a single shipped product, agent card or ML repository would move the level and take the name out of this book on the next run [S1].
• The score reads public materials only; a project that builds in private shows no code evidence until it publishes [S1].

Place in the book

• Rank 8 of 10 in AMF-BLACKSWAN-CRYPTO (Swan Composite v1.1.0, scoring run 2026-11-05): the book holds the lowest composites [S1].
• Composite: 0.67 × 23.0 (AAS) + 0.33 × 51.6 (market) = 32.5 [S1].
• Market verdict 51.6: over the last 90 days RSR moved with BTC (down-capture 0.86, up-capture 0.92, L = 0.06; 35 down / 36 up days) — the Failure-To-Adapt fund's selection signal, 50 = moves with BTC [S1].
• Weight: rank factor 1.22 (rank 8 of 10) × market factor 1.00, normalised across the book and clamped to 5–20% → 7.8% [S1].

Sources

• S1 — EventTrader crypto AI Adaptation Score run 2026-11-05
• S2 — profile — https://www.coingecko.com/en/coins/reserve-rights-token — https://www.coingecko.com/en/coins/reserve-rights-token
• S3 — homepage — https://reserve.org/ — https://reserve.org/
• S4 — llms_txt — https://reserve.org/llms.txt — https://reserve.org/llms.txt
• S5 — llms_txt — https://docs.reserve.org/llms.txt — https://docs.reserve.org/llms.txt
• S6 — docs — https://docs.reserve.org/ — https://docs.reserve.org/
• S7 — repo — https://github.com/reserve-protocol/rsr — https://github.com/reserve-protocol/rsr
• S8 — readme — https://github.com/reserve-protocol/rsr#readme — https://github.com/reserve-protocol/rsr#readme
• S9 — manifest — https://github.com/reserve-protocol/rsr/blob/HEAD/go.mod — https://github.com/reserve-protocol/rsr/blob/HEAD/go.mod

Method and disclaimer

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.

This 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.