This tool automates comprehensive political influence network analysis for AI assistants, enabling users to map donor-politician-legislation relationships, detect conflicts of interest, and trace dark money flows. It orchestrates eight US government data sources—including FEC campaign finance filings, congressional stock trading disclosures, and federal spending data—to construct bipartite political graphs, run graph algorithms, and return structured JSON. Designed for compliance teams, investigative researchers, and AI agents, it simplifies access to complex political intelligence without requiring raw API integration or manual data cross-referencing.
Características Principales
01Conflict of interest detection for stock trades and contracts
02PageRank influence scoring on political graphs
03Multi-factor weighted political risk scoring
040 GitHub stars
05Temporal Granger causality for donation-to-legislation patterns
06Bipartite graph construction across 8 node and 7 edge types
