Most crypto metrics — holder count, volume, Twitter followers, CoinGecko likes — are cheap to fake. ChainAware Token Rank is built on on-chain truth: the median Wallet Rank of every token holder. The complete guide to using Token Rank for investment due diligence, red flag detection, and holder quality analysis.
ChainAware Wallet Rank: The complete guide to Web3’s reputation score. Wallet Rank is a single consolidated score synthesizing 10 on-chain parameters across 14M+ wallets on Ethereum, BNB, Solana, Base, and Haqq: Risk Willingness, Experience (1-5), Risk Capability, Predicted Trust (98% accuracy), Intentions (Prob_Trade, Prob_Stake), Transaction Categories, Protocol Diversity, AML Analysis, Wallet Age, and Balance. Use cases: airdrop sybil defense, investor screening, DeFi lending risk tiers (live at SmartCredit.io), community gating, NFT anti-bot protection, and talent screening. Includes chainaware-wallet-ranker — the open-source Claude agent that calls predictive_behaviour MCP tool to return full behavioral profiles, experience level, fraud status, and personalized recommendations for any wallet. Integration guide with Node.js and Python examples. GitHub: github.com/ChainAware/behavioral-prediction-mcp. API: chainaware.ai/mcp.
X Space recap: AI-based wallet audits in Web3 — how to build trust in an anonymous ecosystem. Blockchains are transparent on a transaction level but participants are anonymous — enabling scams, rug pulls, and social engineering. ChainAware Wallet Auditor solves this: full behavioral profile of any wallet in 1 second (experience level 1-5, risk tolerance, AML status, Wallet Rank, predicted intentions, protocol history). Free to use. Use cases: P2P payment vetting, KOL verification, partner due diligence, token holder analysis. 14M+ wallets, 8 blockchains. chainaware.ai.