Clay
Get data on any company or person, in one place.
What is Clay?
Clay is a GTM data enrichment platform that uses waterfall enrichment across 100+ talent data providers to build high-accuracy candidate and company lists. Recruiting teams use it for sourcing, enrichment, and outbound workflow automation. Its AI research agents extract structured data from unstructured web sources to build custom datasets on any company or person.
What are Clay's key features?
Waterfall enrichment across 100+ talent data providers
AI research agents for unstructured web data
Native MCP support for Claude and AI agents
Custom workflows with 50+ integrations
CSV import and export at scale
How do staffing agencies use Clay?
- Building enriched candidate lists from ambiguous criteria
- Waterfall email verification across multiple providers
- Automating candidate research for BD and sourcing
Who is Clay best for?
What are Clay's pros and cons?
Pros
- Best-in-class waterfall enrichment saves per-record cost
- AI research agents replace manual web scraping
- Active power-user community with shared workflows
Cons
- Steep learning curve for complex workflows
- Requires careful credit management at scale
- Not a full ATS or CRM replacement
How does Clay compare to alternatives?
| Feature | Clay | Greenhouse | Gem | hireEZ |
|---|---|---|---|---|
| Category | Data Enrichment | ATS and CRM | Sourcing | Sourcing |
| Pricing | Paid | Paid | Paid | Paid |
| AI-first | ||||
| API | ||||
| MCP | ||||
| GDPR | ||||
| Best for | GTM and recruiting ops teams | Mid-market structured hiring | In-house sourcing teams | Staffing agencies |
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Implementation support
Need help implementing Clay for your business?
We've set up Clay inside recruiting teams across 110+ engagements. Book a call to map it against your stack, data, and workflows.
Frequently asked questions about Clay
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