PrivateInvestigator

Ethical OSINT people-finding locates individuals by orchestrating parallel research across people-search aggregators, social platforms, and public records to produce confidence-scored identity verification reports.

Reverse lookups connect partial identifiers like phone numbers, emails, usernames, or images to a likely person by cross-checking multi-source public data and applying disambiguation guidance with confidence scoring.

Identity verification workflows apply timeline and cross-source confirmation across public records and social platforms, returning explicit HIGH, MEDIUM, LOW, or POSSIBLE confidence scores to validate results.

Ethical OSINT people search enforces a mandatory stop condition to prevent harassment or stalking, ensuring public-data research and reverse lookups remain within safe, compliant boundaries.

Multi-modal reverse lookups verify identity by using partial identifiers across public records and social platforms, cross-checking sources to produce confidence-scored reports with disambiguation guidance.

Confidence scoring is needed when orchestrating parallel people-search workflows across multiple public data sources, ensuring cross-source confirmation validates identity before taking safe next steps.