On March 3, SlowMist announced the launch of MistTrack Skills, designed to provide AI Agents with on-chain address risk analysis and anti-money laundering (AML) detection capabilities. Against the backdrop of the rapid development of the AI Agent and Skills ecosystem, this tool helps Agents automatically perform address-level security assessments before executing transfers, swaps, and other on-chain operations.
MistTrack Skills is built on MistTrack's OpenAPI. Official data shows that MistTrack has collected over 400 million on-chain addresses and 500,000 threat intelligence data points, supporting risk analysis for multiple mainstream public chains including Bitcoin, Ethereum, TRON, BNB Smart Chain, Solana, and Sui.
The API capabilities encompass modules such as address tag lookup, risk scoring, transaction investigation, fund flow tracking, counterparty analysis, and asynchronous risk tasks. After configuring the MISTTRACK_API_KEY, developers can invoke these functions within AI Agent tools like OpenClaw and Claude Code. Furthermore, this skill supports integration with wallet-related skills such as Bitget Wallet Skill and Trust Wallet Skills, automatically performing AML checks on the receiving address before executing transfers or signatures.
SlowMist states that as AI agents gradually participate in on-chain asset operations, security capabilities need to be upgraded from the tool layer to default infrastructure capabilities. The launch of MistTrack Skills aims to provide a more complete on-chain risk control solution for the integration of AI and Web3 scenarios.
