Slow Fog releases MistTrack Skills: introducing on-chain AML risk analysis capabilities for AI Agents

Slow Mist announces the launch of MistTrack Skills, aimed at providing on-chain address risk analysis and anti-money laundering (AML) detection capabilities for AI Agents. In the context of the rapid development of AI Agents and the Skills ecosystem, this tool helps Agents automatically complete 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, and Sui. The API capabilities cover modules such as address label queries, risk scoring, transaction investigations, fund flow tracking, counterparty analysis, and asynchronous risk tasks.

After configuring the MISTTRACK_API_KEY, developers can call related functions in AI Agent tools like OpenClaw and Claude Code. Additionally, this skill supports integration with wallet skills such as Bitget Wallet Skill and Trust Wallet Skills, automatically performing AML checks on recipient addresses before executing transfers or signing. Slow Mist stated that as AI Agents gradually participate in on-chain asset operations, security capabilities need to be upgraded from tool-level to default infrastructure capabilities. The launch of MistTrack Skills aims to provide a more comprehensive on-chain risk control solution for the integration of AI and Web3 scenarios.

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