Collect and structure data on AI agent-related smart contracts deployed on Base L2 in the last 90 days.
I need this for a dashboard I am building.
Deliverables:
(1) Clean CSV with columns: contract_address, deployer_wallet, deploy_date, tx_count_30d, tvl_usd (if applicable), token_association, agent_framework (e.g.
Virtuals, Olas, custom), verified_on_basescan (bool), brief_description.
(2) Summary document explaining methodology, data sources used, and notable findings.
Minimum 20 contracts identified.
Sources to check: Basescan, Dune Analytics, Virtuals protocol registry, Olas on Base, agent launchpads.
Acceptance criteria: all contract addresses verifiable on Basescan, CSV properly formatted, no duplicates, data current as of submission date.
1. I collected and structure data on AI agent-related smart contracts deployed on Base L2 in the last 90 days. 2. I also included summary document explaining methodology, data sources used, and notable findings
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