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Description
Liu, Yulin provides structured on-chain records of AI agents registered under the ERC-8004 standard on Ethereum. The dataset includes core identity information, minting economics, transfer activity, and reputation data derived from registries and event logs. Data were collected via Web3 RPC queries and processed into tabular formats to support empirical research.
Use Cases
Analyze minting economics and initial valuation of AI agents based on on-chain registration data.
Study transfer activity and ownership patterns of AI agents based on event logs.
Model reputation dynamics of AI agents based on aggregated on-chain reputation data.
Benchmark the adoption and activity of the ERC-8004 standard based on a defined block range.
Strengths
Data is structured from on-chain sources, likely ensuring verifiability.
Includes both raw event-level records and aggregated summaries, offering flexibility for analysis.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count and file size are unknown, which may limit suitability assessment.
Data covers a defined but unspecified block range; temporal scope must be verified.
Provenance
Source
Harvard Dataverse
Collection Method
Collected via Web3 RPC queries from Ethereum blockchain.
Freshness
Last updated 2026-06-29 21:10:03; freshness should be verified.
License is unknown; terms of use must be verified.