Production-grade Python agent that finds real, dollar-verified Web3 bounties.
A fail-closed, simulation-first backend that discovers real, dollar-verified developer bounties from GitHub and Algora, scores them by risk/trust/profitability, and actively screens out KYC/deposit traps and prompt-injection attacks embedded in bounty listings (a real attack was caught and blocked live during testing). Try it yourself before buying: Live demo: https://web3-opportunity-agent-demo-8jge.onrender.com Public code preview: https://github.com/koohiamir1375-a11y/web3-opportunity-agent-preview What's in the full private repo (transferred on purchase): Everything in the public preview, plus the execution engine with a human-approval task lifecycle Isolated signer process -- private key never touches the main API process Fail-closed transaction policy (spend caps, chain allowlist, kill switch) On-chain claim source gated by a human-curated verified-claims file 84 passing tests covering discovery, scoring, risk, execution atomicity, and reward verification Full documentation: architecture, security model, deployment, sources review Stack: Python 3.12+, FastAPI, SQLAlchemy 2.0 async, SQLite/Postgres, JWT, bcrypt, Prometheus, eth-account. Payment in USDC/USDT only, via crypto escrow (e.g. Zenland) -- no bank transfer.
Next step: <p>Wire up additional discovery sources (the architecture already supports plugging in new platforms cleanly -- see docs/SOURCES.md), turn on the execution engine for auto-approved on-chain claims once you've done your own security review, or use it as a foundation for a broader Web3 automation product.</p>
For sale
Asking price: $1,200 USD
What's included
Source code
Full private GitHub repository (transfer of ownership), including 84 passing tests and complete documentation (architecture, security model, deployment guides). A 30-minute handoff call/chat is included for setup questions.
Reason for selling
I am busy with other things and no longer have time to maintain this project.
Project metrics
Average Monthly Revenue: Pre-revenue
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