🤖 AI Summary
This study addresses the current lack of systematic empirical data on identity, reputation, and interaction behaviors of blockchain-registered AI agents. We present the first structured dataset of Ethereum-based AI agents conforming to the ERC-8004 standard, constructed by collecting on-chain events—such as identity registration, minting, and transfers—from the Ethereum mainnet via Web3 RPC, and integrating them with off-chain metadata. The resulting dataset comprises event-level records and aggregated summaries for 10,000 agents, enabling reproducible research into critical aspects of decentralized AI ecosystems, including identity formation, reputation mechanisms, and service exposure. This resource provides foundational support for advancing research in agent economies grounded in decentralized infrastructure.
📝 Abstract
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.