Etherscan, the blockchain explorer, has rolled out AI tools for agents with new API features. The integration spans more than 60 EVM-compatible chains and is built to make on-chain data more reliable for AI-driven applications. The announcement was published on Crypto Briefing.
What the new API does
The new features target agents — automated systems that need to pull transaction data, contract states, and other on-chain information without constant human oversight. With the API, these agents can query across a wide range of EVM networks, from major chains to smaller sidechains and L2s.
The tools are aimed at developers building AI agents, not at end users. That's a clear signal that Etherscan sees the next wave of crypto users as machines, not just humans. The AI integration is designed to enhance blockchain data reliability, reduce errors, and boost trust in crypto-AI applications, according to the announcement.
Why reliability is the selling point
AI agents are only as good as the data they're fed. In crypto, that data is messy — chain splits, reorgs, pending transactions, and inconsistent indexing across networks. Etherscan's pitch is that its AI tools clean that up, giving agents a consistent view of what's actually on-chain.
Consider an agent that needs to confirm a payment before releasing goods — it would rely on accurate transaction data. A single error could mean a lost shipment or a double payment. That's why Etherscan's move is a bet that developers will pay for accuracy over speed.
The 60+ chain scope
Covering 60+ EVM chains is a big deal. It means an agent built on Etherscan's API can move between networks without needing separate integrations for each one. For teams building cross-chain automation, that's a practical advantage. Instead of stitching together multiple APIs, they can use one interface.
It also positions Etherscan as a data layer for the growing crypto-AI stack. The company isn't launching a consumer product here — it's building infrastructure that other developers can rely on.
Etherscan hasn't given a specific date for full availability, but the announcement signals the rollout is underway. The rollout appears to be gradual, with no hard date announced. Developers will be watching to see if the API holds up under real-world load — and whether other data providers follow with similar AI-friendly features.
