A dataset of early blockchain-registered AI agents on Ethereum
It provides a new resource for researchers studying decentralized AI ecosystems and blockchain-based agent identity, though the contribution is primarily dataset creation rather than novel methodology.
The paper introduces a structured dataset of 10,000 blockchain-registered AI agents on Ethereum under the ERC-8004 standard, integrating on-chain and off-chain data to enable empirical research on agent identity, reputation, and decentralized AI ecosystems.
This study presents a structured dataset of blockchain-registered artificial intelligence agents under the ERC-8004 standard on Ethereum. The dataset integrates on-chain identity records, minting transactions, transfer events, reputation summaries, and individual feedback records, together with resolved off-chain metadata where available. Data were collected from Ethereum mainnet using Web3 RPC queries and processed into tabular form to enable reproducible analysis. The dataset covers 10,000 agents within a defined block range and includes both event-level records and aggregated summaries. It enables empirical research on agent identity formation, reputation systems, service exposure, and early-stage decentralized AI ecosystems. This resource supports studies in blockchain analytics, decentralized trust infrastructure, and the emerging agentic economy.