SlowMist has released MistTrack Skills, introducing on-chain AML risk analysis capability for AI agents

BlockBeats News, March 3rd, SlowMist announced the launch of MistTrack Skills, aimed at providing on-chain address risk analysis and Anti-Money Laundering (AML) detection capabilities for AI Agents. Against the backdrop of the rapid development of AI Agent and Skills ecosystems, this tool can help the Agent 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 pieces of threat intelligence data, supporting risk analysis for multiple mainstream public chains including Bitcoin, Ethereum, TRON, BNB Smart Chain, Solana, Sui, and more.

The API capabilities include address label queries, risk scoring, transaction investigations, fund flow tracking, counterparty analysis, and asynchronous risk tasks modules. Developers, after configuring MISTTRACK_API_KEY, can invoke relevant functions in AI Agent tools such as OpenClaw and Claude Code. At the same time, this skill supports integration with wallet-related skills such as Bitget Wallet Skill, Trust Wallet Skills, automatically conducting AML checks on receiving addresses before executing transfers or signatures.

SlowMist stated that as AI Agents gradually participate in on-chain asset operations, security capabilities need to be upgraded from a tool-level to a default infrastructure-level capability. The launch of MistTrack Skills aims to provide a more complete on-chain risk control solution for the combination of AI and Web3 scenarios.