Etherscan Adds Transaction Debugger to AI Agent Suite
The tool allows AI agents to decode transaction paths and perform failure analysis across more than 60 EVM-compatible chains.
Updated on Oct. 16, 2026 in Artificial Intelligence
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Etherscan has released a new Transaction Debugger skill for AI agents, designed to decode EVM transaction calls and paths across more than 60 blockchain networks. This tool, now part of the Build with AI suite, allows agents to perform failure analysis and track asset changes using direct API data.
Why it matters
By providing AI agents with live, accurate transaction reconstructions, this tool aims to mitigate hallucinations that occur when agents operate on blockchain data. It enables developers to integrate real-time debugging capabilities into automated agent workflows.
The debugger supports more than 60 EVM-compatible chains through the Etherscan MCP server. It utilizes direct API data to provide read-only transaction reconstructions and side-by-side transaction comparisons.
The players
Etherscan
A blockchain explorer and analytics platform that maintains comprehensive indexes and data APIs for the Ethereum ecosystem.
The details
The tool functions by decoding Ethereum Virtual Machine (EVM) transaction calls and paths, which are the fundamental instructions executed by the blockchain. Developers implement the skill via an npx command, enabling AI agents to access a read-only reconstruction of transaction states, including shifts in asset ownership and contract permissions. It offers two reporting tiers: Simple mode for general summaries and Security mode for deeper failure analysis.
Timeline
August 2026: The Build with AI suite was launched.
September 4, 2026: Public promotion of the debugger began.
October 16, 2026: Additional technical guidance for the debugger was published.
The Tech Race
This release marks the latest extension of the Etherscan Build with AI suite, which was initiated in August 2026 to standardize how autonomous agents interact with blockchain data. It builds on the ongoing effort to provide reliable, live data access to address the high hallucination rates currently observed in general-purpose AI agents.
Developers building autonomous agents can now add the debugger using an npx command within their existing agent environments. It provides immediate utility for those needing to automate the troubleshooting of failed transaction calls across diverse EVM networks.
The takeaway
The move shifts the focus of agentic blockchain tools toward data verification rather than simple data retrieval. Developers should track future performance updates to the Etherscan MCP server to see how failure analysis accuracy scales across different chain architectures.
Further reading
For broader trends in blockchain agent integration, explore the latest updates in Artificial Intelligence.
More information
View the technical documentation in the Etherscan skills repository.
Source note: This article includes information reported by Crypto Briefing.
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