Moonhub vs People Data Labs

Summary

Moonhub is an AI recruiting agent that runs sourcing campaigns for you. You brief it on a role, it searches across 1B+ profiles, writes personalized outreach, and handles initial engagement with human oversight. People Data Labs is a raw data API with 3B+ person records that powers your own tools. You query it programmatically, pull enriched candidate data into your ATS or internal systems, and build custom sourcing workflows. The core difference: Moonhub is a managed service that does the work, PDL is infrastructure you build on. Moonhub fits teams hiring 5-20+ roles monthly who want to offload top-of-funnel sourcing entirely. It personalizes outreach at scale and surfaces passive candidates without constant recruiter input. People Data Labs fits engineering-adjacent recruiting teams or platforms building sourcing products. You need developer resources to query the API, enrich CSVs, or integrate data into Greenhouse, Lever, or homegrown tools. PDL doesn't write emails or manage campaigns; it returns structured JSON you manipulate however you want. Pricing structures diverge completely. Moonhub typically runs on engagement-based contracts or monthly retainers tied to active searches. PDL charges per API call or record enrichment, so cost scales with query volume and match rate. If you're a 3-person startup hiring occasionally, neither justifies the spend. If you're staffing 50+ tech roles quarterly, Moonhub saves recruiter hours. If you're building a recruiting platform or need to enrich 100K+ candidate records annually, PDL is the only path.