This dataset provides a U.S.-focused identity graph that links people, households, contact information, and devices with audit-ready lineage and confidence scoring. It includes large-scale consumer coverage, persistent identifiers across emails, phones, addresses, mobile advertising IDs, and IPs, plus ongoing enrichment from authoritative sources and digital signals. Each connection is scored by AI-driven matching logic and accompanied by provenance and consent controls, enabling reliable downstream activation while supporting privacy and compliance. The dataset supports customer 360, deduplication, personalization, attribution, fraud detection, and identity verification workflows, and is available via real-time APIs, batch feeds, or hosted deployments with continuous updates and verification processes.

Key attributes include:

• Person and household profiles linked to contact and device identifiers

• Probabilistic and deterministic matches with confidence scores and lineage

• Large-scale coverage and signal processing for frequent profile updates

• Privacy and compliance controls including consent, opt-outs, and audit trails

• Integration options for real-time APIs, batch processing, and hosted delivery

Value Summary:
Marketing teams, data engineers, fraud teams, and privacy officers benefit from unified customer views and scored identity links that improve personalization, reduce duplication, and support compliant activation. The dataset speeds identity-driven use cases while providing explainable match confidence for safer downstream decisions.