Entity Analysis For Wallet Profiling

On-chain blockchain data for AI agents. 41 MCP tools for whale tracking, entity analysis, exchange flows, ML predictions, wallet profiling, direct Ethereum RPC, and cross-chain signals across Ethereum, Bitcoin, and Hyperliquid.

Unique: Incorporates advanced ML techniques to enhance wallet profiling accuracy, distinguishing it from traditional heuristic-based methods.

vs others: Provides deeper insights through machine learning compared to basic transaction history analysis tools.

via “wallet activity summarization and risk assessment”

** - Query Onchain data, like ERC20 tokens, transaction history, smart contract state.

Unique: Synthesizes multiple on-chain data sources (transactions, approvals, contract interactions) into a unified risk assessment, allowing Claude to understand wallet behavior and make informed decisions about counterparty risk

vs others: More comprehensive than simple transaction counting; more transparent than black-box ML-based risk models by using interpretable heuristics

via “wallet-activity-obfuscation”

via “wallet connection and authentication”