People Data Labs

A developer-first data-enrichment API providing programmatic access to large person and company datasets (hundreds of millions of profiles). You query by an identifier (email, name+company, domain) and get back a structured record — title, employment history, company firmographics, location, social handles. It’s raw enrichment infrastructure: the API you build on, rather than an app you click around in.

Description

  • Person Enrichment — resolve an email/identifier to a full professional profile.
  • Company Enrichment — firmographics by domain (size, industry, location, etc.).
  • Search API — query the dataset by criteria to build lists.
  • Bulk & datasets — large-scale enrichment and licensed data.
  • Developer-first — clean REST API, predictable schema, SDKs.

Download or use

# REST API, e.g.:
# GET https://api.peopledatalabs.com/v5/person/enrich?email=...

Reasoning for

People Data Labs is a planned enrichment source for the Jakub Głąb Agent System — a clean API to resolve and enrich the people/companies the agent tracks in its entity-wiki. Being developer-first matters here: the agent system is code/skill-driven, so a predictable enrichment API drops straight into a skill, versus a GUI tool that needs a human. It’s the lower-level counterpart to Clay (which can orchestrate PDL among many sources with AI on top) and complements scraping-based collection (Bright Data, Firecrawl) — API enrichment for known entities vs scraping for open-ended discovery.

Alternatives considered

  • Clay — orchestrates many enrichment sources (incl. PDL) with AI; PDL is the raw API beneath such orchestration.
  • Bright Data — scraping + datasets at scale; PDL is curated enrichment-by-identifier, not scraping.
  • Apollo / Clearbit / Hunter — B2B contact databases; comparable data, PDL leans most developer/API-first.

Resources


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