SlowMist releases MistTrack Skills, introducing on-chain AML risk analysis capabilities for AI Agents

On March 3rd, SlowMist announced the launch of MistTrack Skills, designed to provide on-chain address risk analysis and anti-money laundering (AML) detection capabilities for AI Agents. Against the backdrop of rapid development in 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 indexed over 400 million on-chain addresses and 500,000 threat intelligence records, supporting risk analysis across major public blockchains including Bitcoin, Ethereum, TRON, BNB Smart Chain, Solana, and Sui. The API capabilities include address label queries, risk scoring, transaction investigations, fund flow tracking, counterparty analysis, and asynchronous risk tasks. Developers can call these features in AI tools like OpenClaw and Claude Code after configuring the MISTTRACK_API_KEY. Additionally, this skill supports integration with wallet skills such as CEX Wallet Skill and Trust Wallet Skills, automatically performing AML checks on recipient addresses before transfers or signatures. SlowMist states that as AI Agents increasingly participate in on-chain asset operations, security capabilities need to evolve from tool-based functions to default infrastructure features. The launch of MistTrack Skills aims to provide a more comprehensive on-chain risk control solution for the integration of AI and Web3 scenarios.