Identity Resolution vs Attribute Append: Comparing Enrichment APIs for AI Agents
Front-Cheetah-4980 · reddit · 2026-10-09
The author, building customer-facing AI agents, found that enrichment options diverge sharply once you need identity resolution rather than attribute append: the agent must merge fragmented records into one resolved profile per real person before reasoning, or it will treat a fragment as the whole person.
- People Data Labs: strong on attribute append with a clean API and good coverage, but weaker at deciding three fragments are one person;
- Clearbit (now inside HubSpot): fits agents living in that ecosystem; weaker standalone;
- FullContact: built around identity resolution, returns a persistent person-level identifier to anchor fragments to one identity, and supports real-time queries rather than batch-only sync — why the author chose it.
Tip: all three look equivalent on clean single-identifier test users; test against your own fragmented, multi-identifier records.
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