Open to everyone. Built for accountability.
Methodology and tools publicly available. Core graph construction is being prepared for full open-source release. If you're a researcher, journalist, or developer — this is for you.
“Mapping Institutional Capture: A Graph-Based Framework for Detecting Political Influence Networks in U.S. Congressional Financial Disclosures”
Submitted to the International Conference on Computational Social Science 2026. Full paper forthcoming.
Coming soon: full ingestion pipeline, graph schema, validation notebooks, and fine-tuning recipes.
Coming soon: natural language query interface for journalists and researchers. Ask anything about the graph.
Methodology and tools publicly available. Core graph construction being prepared for full open-source release.
Our Principles
No political bias. Data speaks for itself.
We map connections, never assign guilt.
Every data point traces to a federal filing.
Methodology and tools publicly available. MIT License.
No paywall. No premium tier for data.
We publish our limitations and error rates.
Free to use, modify, and distribute. Attribution appreciated. Built for the public interest.