Both are developer-facing, but the models differ. PDL excels at large-scale identity resolution and licensing a broad dataset you match against. Captain Data is built for live enrichment and search inside a product or agent, prioritizing freshness and fast integration over bulk dataset volume.
Explore Captain Data's people APIs, company APIs, all products, and pricing.
Comparison
compare · vs People Data Labs
| Dimension | Captain Data | People Data Labs |
|---|---|---|
| Data model | Real-time enrichment & search | Large licensed dataset / identity graph |
| Freshness | Fetched live on request | Periodic dataset refresh |
| Search | Sales-Navigator-compatible people & company search | Dataset query / person & company enrichment |
| Bulk dataset licensing | Not the focus | Core strength |
| Built for AI agents | Yes — structured JSON + MCP | API only |
| Pricing | Usage-based credits; 100 free to start | Volume / dataset licensing |
When to choose Captain Data
You want live enrichment and search inside a product or agent, with fresh LinkedIn/Sales-Navigator-sourced data and fast integration.
When to choose People Data Labs
You need large-scale identity resolution, bulk dataset licensing, or offline matching across very large record volumes.
Other comparisons
FAQ
QWhat is the difference between Captain Data and People Data Labs?›
PDL licenses a large static dataset you match against; Captain Data fetches people and company data live via API, prioritizing freshness and Sales-Navigator-compatible search.