What comes back from 13 sources.
Not just links. Structured data. Officer names parsed from SEC XML. Dollar amounts from FEC filings. Contract values from USAspending. Violation counts from EPA. All resolved into your knowledge graph.
SEC EDGAR
→ 10-K annual reports, 10-Q quarterly filings
→ Officer & director names parsed from Form 3/4 XML
→ Revenue, assets, liabilities, employee count from XBRL
→ Insider trading transactions with share counts & dates
→ SIC codes, state of incorporation, registered address
FEC Campaign Finance
→ Every donation: donor name, amount, employer, occupation
→ Committee memberships and principal campaigns
→ Candidate profiles: party, office, state, election years
→ Each donor becomes an entity node with relationship edges
Federal Courts (CourtListener)
→ Case name, docket number, court, nature of suit
→ Date filed, status (active/closed), jury demand
→ Opinions and orders (full text searchable)
→ Cross-references to other cases involving same parties
USAspending + SAM.gov
→ Contract award amounts, awarding agency, descriptions
→ Grant values, program names, recipient details
→ Contractor UEI, CAGE code, registration status
→ Exclusion lists (debarred from federal contracting)
OFAC Sanctions
→ SDN list: sanctioned individuals & entities
→ Fuzzy name matching (no exact match required)
→ Downloaded locally — works fully air-gapped
→ Clear/match status linked to entity profile
ProPublica + IRS 990
→ Nonprofit revenue, expenses, assets, liabilities
→ Executive compensation data (name, title, amount)
→ EIN, NTEE classification, programs
→ Board members and key employees extracted
FDA
Drug recalls, adverse events, enforcement actions
EPA ECHO
Environmental violations, facility inspections
FDIC
Bank assets, deposits, holding companies
Congress.gov
Legislator records, bills, committee seats
Library of Congress
Historical records, genealogy, archives
Google Books
Published works, biographies, corporate histories
All sources queried in parallel. All free government APIs. All findings become knowledge nodes with full provenance. Discovered entities (officers, donors, agencies) are recursively investigated — two levels deep.