People Data Labs

People Data Labs (PDL) is a developer-first B2B data provider that sells person and company intelligence purely as APIs and bulk data deliverables, with no UI, CRM, or workflow layer on top. Its core assets are a person dataset it markets at 3B+ profiles spanning 200+ countries and a company dataset of roughly 70-71M profiles, surfaced through Person Enrichment, Company Enrichment, Person Search, Person Identify, IP Enrichment, Autocomplete, and Cleaner endpoints. The data is assembled through a "data co-op" model (partners contribute data in exchange for access) plus public-web sources, and is delivered via REST APIs, official SDKs in five languages, and flat-file/bulk options for data-engineering use cases. The target buyer is explicitly a developer or data team building enrichment into their own product or pipeline, not a salesperson looking for a point-and-click prospecting tool.

Where PDL wins is breadth, documentation, and a transparent usage-based pricing model: you pay credits only on successful matches (HTTP 200), misses aren't billed, and the free tier (100 lookups/month) plus self-serve Pro plans let developers prototype without sales calls. Reviewers consistently praise the API design, Elasticsearch-style search queries, thorough docs with working samples, and responsive support. Coverage is strongest for white-collar, English-speaking, North-American tech profiles, where you get rich work history, social URLs, and contact data. PDL also takes a deliberately conservative entity-resolution stance, minimizing false positives over maximizing match rate, which appeals to teams that would rather have fewer, cleaner records than aggressively merged ones.

Where it loses is recency and contact-data completeness. The dataset refreshes on a roughly monthly cadence, so job titles and employer fields can be weeks-to-months stale, a recurring complaint for time-sensitive outbound, where departed-employee records waste credits and hurt sender reputation. The data leans heavily on LinkedIn, so people without a LinkedIn presence are under-represented and occasional self-reported titles (e.g., a random profile claiming to be CEO) leak through. Direct-dial phones and verified personal emails often require additional Person Identify calls at a higher per-match cost, and serious volume pushes you into opaque Enterprise contracts that reviewers describe as expensive ($20k-$100k+/year). Net: an excellent raw-data API for builders who can tolerate cache-not-live freshness and do their own validation, a poor fit for non-technical sales teams wanting turnkey, real-time prospecting.