osint-investigation

You can cross-link entities by running Python stdlib-only scripts that fetch, normalize, and link data across public-record sources like SEC EDGAR, OFAC SDN, and ICIJ Offshore Leaks to build traceable evidence chains.

Entity resolution in public-record OSINT data is the process of identifying and linking identical entities across disparate sources like USAspending, Senate LD, and OpenCorporates to create a unified, auditable profile with traceable provenance.

Yes, you can perform reproducible OSINT investigations using Python stdlib-only scripts that fetch and normalize records from sources like CourtListener, Wayback Machine, and GDELT without installing external packages.

Perform a multi-source background check by running ingestion scripts to pull data from sources like NYC ACRIS, Wikipedia, and Wikidata, which automatically normalize and cross-link findings into standardized outputs citing primary records.

Yes, OSINT data normalization works with ICIJ Offshore Leaks and SEC EDGAR by standardizing raw fetched data into a uniform format, allowing scripts to accurately resolve and link entities across these disparate public-record domains.

Using Python stdlib-only for public-record investigations means relying entirely on built-in libraries to fetch and parse data, which may require custom script adjustments for complex or non-standard API responses from sources like GDELT.