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AMLBot Launches AI Tracer for Cross-Chain Crypto Tracking

AMLBot Launches AI Tracer for Cross-Chain Crypto Tracking

Crypto forensics and compliance company AMLBot has launched its AI Tracer, described as a self-service blockchain analysis tool that maps visible fund movements from a transaction hash across blockchain networks.

AMLBot said the tool aims to address the current need for specialist software and knowledge to trace transactions. The company said the tool also traces through bridges that move assets cross-chain or when the assets are split among multiple wallets.

“The process is automatic: the AI traverses the transaction graph, follows the movement of funds from the starting address through intermediate wallets toward whatever endpoint the money reached, and matches known entity labels — exchanges, services, flagged addresses — against every wallet it encounters,” the company said in a press release shared with Cointelegraph.

According to the announcement, AI Tracer cannot see transfers between internal exchange accounts, determine why a payment was made, freeze assets or guarantee recovery. Its reports are intended as a starting point for investigations and do not replace an audit or legal process.

The tool offers a free check and offers paid plans with higher limits on the number of automated checks. Currently supported networks include Bitcoin, Bitcoin Cash, Litecoin, TRON, Ethereum, BNB Chain, Ethereum Classic, Polygon, Arbitrum, Base, Optimism, Solana, Cardano and Ripple.

AMLBot said the tool is suitable for journalists, researchers, traders, and crypto user who want to read transaction paths, as well as law enforcement agents investigating crypto crime and independent investigators or compliance teams.

Related: AMLBot says social engineering drove 65% of crypto cases it probed in 2025

Cointelegraph is committed to independent, transparent journalism. This news article is produced in accordance with Cointelegraph’s Editorial Policy and aims to provide accurate and timely information. Readers are encouraged to verify information independently.

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