AMLBot launches AI tracker to enable self-service blockchain exploration

AMLBot launches AI Tracer to achieve self-service blockchain tracking

Cryptocurrency compliance and forensics company AMLBot has launched AI Tracer, an automated, self-service blockchain analysis tool that can track the flow of funds across the network starting from a specified transaction hash. The company positions AI Tracer as a solution that reduces reliance on professional tracking software and deep internal expertise, allowing users to start with the initial transaction and ultimately map visible capital flow paths along the chain through intermediate wallets.

Core Points

AI Tracer aims to track the flow of funds on supported blockchains starting from transaction hashes. It can track cross-chain transfers through cross-chain bridges and handle situations where assets are scattered across multiple wallets. Reporting relies on matching known entity tags (such as exchanges and tagged addresses), but is not a substitute for legal or audit processes. The tool offers free inspections and a paid plan that supports a higher limit on the number of automated analyses. The main networks initially supported include Bitcoin, Ethereum (and its multiple Layer 2 networks), Solana, TRON and Ripple.

How AI Tracer maps trading paths

AMLBot describes AI Tracer as a "self-service" analysis tool that automatically traverses transaction charts. The workflow starts from the starting address, tracks the funds through the intermediate wallet, and finally reaches the destination where the assets arrive. A key part of the system is physical tags: AMLBot said the tool matches known tags (such as exchanges, services and tagged addresses) with wallets encountered during the tracking process. This is significant for investigators and compliance teams because manually reconstructing charts from complex transaction histories can be time-consuming, especially when transfers involve multiple hops, multiple wallets, or typical illegal funds transfer patterns.

What the tool cannot do

AMLBot also highlights limitations that users should understand before using results. According to the announcement, AI Tracer cannot: view transfers between accounts within the exchange; determine the reason for payment; freeze assets; and ensure the recovery of funds. The company further pointed out that the AI Tracer report serves only as a starting point for investigations and cannot replace audit procedures or legal processes. This framework is important in practice: blockchain tracing can reveal address-to-address movements, but cannot itself determine intent, contractual context, or operational control over funds.

Cross-chain tracking and fund diversion

AMLBot said AI Tracer aims to track cross-chain bridges used for cross-chain asset transfers, as well as situations where assets are scattered across multiple wallets. These two areas often make transaction tracking more difficult than the simple "send and receive" model. When assets are encapsulated, cross-chain, or regenerated on different networks, cross-chain movements can obscure the value path. At the same time, capital diversion requires tracking multiple branches of the transaction chart to understand where value ultimately gathers. By explicitly mentioning these scenarios, AMLBot said AI Tracer aims to handle more realistic transaction structures rather than just single-line transfers.

Coverage, Access Patterns and Target Users

AMLBot's announcement stated that AI Tracer currently supports the following networks: Bitcoin, Bitcoin Cash, Litecoin, TRON, Ethereum, BNB Chain, Ethereum Classic, Polygon, Arbitrum, Base, Optimism, Solana, Cardano and Ripple. The tool includes free inspections, while paid plans offer a higher limit on the number of automated analyses. AMLBot describes the product as suitable for a variety of users, including journalists, researchers, traders and cryptocurrency users who want to interpret trading paths, as well as law enforcement agencies, independent investigators and compliance teams. This target audience reflects a broader trend in the industry: As regulators, exchanges and institutional participants increasingly require transaction monitoring and source verification, more and more tools are being developed to make on-chain analysis no longer limited to a professional forensic team.

Why is this release timely for on-chain investigations

AI Tracer's "transaction hash to end" approach solves a practical bottleneck in cryptocurrency investigations-transforming raw blockchain data into a readable, actionable transaction path. While it still cannot explain the intent or replace legal review, AMLBot's positioning suggests it aims to speed up the early stages of work: classification, mapping paths, and narrowing the focus of subsequent due diligence. As cross-chain activities and multi-hop transaction structures become more common, users 'judgment of tools may no longer be limited to whether they can track basic transfers, but rather their ability to handle routing complexity-especially cross-chain bridge interactions and wallet splitting, and AI Tracer is clearly designed for these two points. Looking to the future, the main concerns of users will be: whether AI Tracer's physical tags can continue to be effective in reducing ambiguity between different networks, and how the product's limitations and the chain supported will expand in the future-especially as surveys increasingly involve Layer 2, cross-chain bridges, and liquidity-driven capital flows.