entity-research

To compile a background research dossier, this Skill gathers identity, ownership, adverse media, sanctions, and litigation data from open web sources and public records. It outputs a cited markdown document for compliance review.

Yes, you can automate sanctions checking and entity investigation with Python. This Skill uses Python alongside web search and network access to retrieve public records data and compile it into a structured markdown dossier.

Yes, you need web access to perform entity research using this Skill. It requires network connectivity to query open web sources and public records for data retrieval during the dossier creation process.

The best way to conduct due diligence on a potential partner is to run an automated entity research workflow. This gathers cited information on identity details, ownership structure, and litigation history into a comprehensive markdown dossier.

Yes, this background research tool works with pandas and beautifulsoup4. These dependencies support data processing and web scraping tasks required to retrieve and structure entity information from public records.

You should not use an automated entity investigation workflow when you lack Python, web search, or network access, as these are required for data retrieval. Additionally, all generated dossiers are intended for human review rather than final compliance decisions.