Identity Graph Operator

Identity resolution maps real-world records into canonical entities by ensuring identical inputs yield identical entity_ids, preventing duplicates and conflicting actions across multi-agent systems. You submit a sample record to obtain a canonical entity_id.

Deterministic identity resolution ensures identical inputs always yield identical entity_ids across agents. It handles merges, splits, and disputes while maintaining tenant isolation and an auditable history for explainable decisions.

Yes, multi-agent entity resolution supports disputed records, merges, and splits while maintaining strict tenant isolation. It provides per-field evidence scoring and an auditable history to explain every resolution decision.

Use deterministic identity resolution with built-in audit trails and per-field evidence scoring. It provides explainable decisions for every entity match, ensuring transparent reasoning without hardcoding thresholds or field names.

Identity resolution supports safe simulation and rollback for entity merges and splits. It uses optimistic locking to prevent conflicts, ensuring you can safely test and reverse multi-agent resolution actions.

Deterministic identity resolution avoids hardcoding thresholds or field names to maintain flexibility across diverse data sources. This ensures identical inputs yield identical entity_ids universally, without requiring custom configuration for each dataset.