Etherscan ships Transaction Debugger skill so AI agents can safely inspect Ethereum activity

Blockchain explorer Etherscan has rolled out a new Transaction Debugger skill aimed specifically at AI agents that operate on top of Ethereum. Instead of forcing developers or power users to step through transactions manually in a browser, the new skill exposes Etherscan’s detailed tracing capabilities—state changes, contract calls, gas breakdowns—through an interface that agentic systems can call programmatically.

In practice, that means an autonomous trading bot or DeFi portfolio manager can ask the skill to “explain” what happened inside a swap, liquidation or contract interaction, then reason about whether the behavior looks safe or anomalous before moving funds. As AI agents begin to initiate real on‑chain actions for their users, the lack of transparent debugging has been a major risk.

By turning its debugger into an AI‑readable capability, Etherscan is positioning itself as core safety infrastructure for the next wave of crypto automation. The move could make it far easier to build agents that continuously audit smart‑contract interactions, flag unexpected value flows and learn from failed transactions—without a human staring at raw blockchain traces all day.