by latent-variable · Agent Tool · ★ 34
Epstein Ranker LLM-powered tooling for triaging Epstein-related document corpora. Processes PDFs, office documents, and audio/video files through vision-language models, scoring each for investigative significance. Ships a dashboard for filtering, charting, and inspecting scored documents. Default model: via OpenRouter (free, hosted by Alibaba). No API costs, no local GPU required. Dataset Status (Current Snapshot) DOJ FTA volumes - are fully processed in this snapshot and exported under . Oversight corpus remains frozen.
| Stars | 34 |
| Forks | 7 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 66.6595377960768/100 |
| Last Updated | 2026-03-17 |
| Created | 2025-11-18 |
| Platforms | python |
| Est. Tokens | ~50966k |
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epstein-ranker is LLM-powered tooling for triaging the U.S. House Oversight & DOJ Epstein document release.. It is categorized as a Agent Tool with 34 GitHub stars.
epstein-ranker is primarily written in Python.
You can find installation instructions and usage details in the epstein-ranker GitHub repository at github.com/latent-variable/epstein-ranker. The project has 34 stars and 7 forks, indicating an active community.