Developer Builds Autonomous Python Agent to Evaluate and Track Verdikta Bounties

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A developer who manually won over six bounties on the Verdikta platform has built an autonomous Python agent to streamline the process. The agent monitors new bounties, scores their viability based on payout, difficulty threshold, time remaining, and targeting status, then integrates with Verdikta's API to read data and submit work. A key design insight is that a higher-value, targeted bounty with more time left outranks a smaller open bounty nearing expiration, even at a lower difficulty threshold. The tool also includes on-chain verification by querying a BountyEscrow smart contract deployed on Base L2, and offers a CLI interface for listing, checking, and monitoring bounties. The open-source project is available on GitHub, with all past winning claims said to be verifiable on the Verdikta bounties portal.

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