# bidlyzer.ai

- **Event:** [Built with Opus 4.7: a Claude Code hackathon](https://cerebralvalley.ai/e/built-with-4-7-hackathon)
- **When:** Apr 21 at 12:00 PM – Apr 27 at 2:00 AM (EDT)
- **Where:** Online
- **Team:** [Chaudary Farhan](https://cerebralvalley.ai/u/TimeBank)
- **GitHub:** https://github.com/farhann-saleem/bidlyzer
- **Demo video:** https://youtu.be/rksvEr0i6ug
- **Gallery:** https://cerebralvalley.ai/e/built-with-4-7-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/built-with-4-7-hackathon/hackathon/gallery/175

Bidlyzer catches fraud in US government contracts. The government hands out $765B+ in contracts every year and fraud is estimated around $500B but nobody investigates because its too expensive. One contract review takes a legal team weeks.

  We built a 5-agent pipeline with LangGraph and Claude that takes a contract PDF and flags it in under 2 minutes. Agent 1 parses the PDF. Agent 2
  runs RAG against federal acquisition regulations (FAR/DFARS) to find violations. Agent 2.5 compares the contract against peers from USASpending.gov so you know if a red flag actually matters in context. Agent 3 checks every contractor and officer against the ICIJ Offshore Leaks
   database (Panama Papers, Paradise Papers, 814K entities) with fuzzy matching and LLM validation to cut false positives. Agent 4 generates an
  investigation dossier with False Claims Act theories and evidence chains with page numbers.

  90.6% accuracy on a 32-doc benchmark of real Federal Register procurement documents. The demo video shows an earlier prototype, we've since added
  the baseline comparator agent and ICIJ entity resolution based on 3 months of research we compiled during this build.

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Markdown version of https://cerebralvalley.ai/e/built-with-4-7-hackathon/hackathon/gallery/175. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt