Building a Bounty Agent for Verdikta on Base L2

A Python agent was built to automate Verdikta bounty discovery, scoring, and submission on Base L2.

It monitors available bounties, estimates payoff potential, checks past submission history, and uses the platform API to submit work.

When authentication fails, it falls back to scraping, and it verifies payouts and activity on-chain via BaseScan and the BountyEscrow contract.

The setup highlights how autonomous agents can take part in decentralized bounty markets using API access, scoring logic, and blockchain verification.