Etherscan has launched etherscan-flow, an AI tool designed to track on-chain fund flows by turning transaction hashes or wallet addresses into mapped fund-movement graphs across supported EVM networks.

According to Etherscan, users can enter a transaction hash or wallet address and organize fund movements into nodes and edges. The resulting analysis can also be exported as an “Etherscan Flow Case” JSON file, giving users a portable record of a tracing session.

The tool is built on Etherscan API V2 and extends beyond standard transaction lookup. Etherscan said the system can analyze not only single transactions but also inflow and outflow patterns tied to entities including wallets, contracts, DAOs, and protocols.

Etherscan said etherscan-flow has two operating modes. “Strict trace” is aimed at investigating how funds moved through the chain, while “business/entity profile” is designed to organize broader financial flow activity around a given entity. In security incidents, the tool can be used to summarize attack mechanics, trace reliability, and the scale of losses, though Etherscan did not present it as a preventive security product.

The company said all addresses, transaction hashes, and amounts used in the tool must come from live API responses, meaning offline data analysis is not supported. Etherscan also pointed to the RedSonic Vault exploit case on September 5 as an example of how on-chain tracking tools can be applied in incident review.

Why It Matters

The launch points to a broader shift in crypto infrastructure from passive block exploration toward structured investigation tools that can help users interpret fund movements faster. That is especially relevant for exploit analysis, internal compliance work, and protocol post-mortems, where raw blockchain data is often available but difficult to organize quickly.

It also puts more attention on AI’s role in crypto as a workflow layer rather than a trading feature. If tools such as etherscan-flow gain traction, they could improve how market participants document incidents, coordinate investigations, and standardize on-chain evidence across a fragmented multi-network environment.