A dataset of early blockchain-registered AI agents on Ethereum

TL;DR

This paper introduces a comprehensive dataset of 10,000 blockchain-registered AI agents on Ethereum, facilitating research on decentralized AI ecosystems, reputation, and identity formation.

Contribution

It provides the first structured, publicly available dataset of blockchain-registered AI agents with detailed on-chain and off-chain metadata for empirical analysis.

Findings

Dataset covers 10,000 agents on Ethereum

Includes on-chain transactions, reputation, and feedback data

Enables research on decentralized AI ecosystems

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.