Clay takes a unique approach to data enrichment. Instead of maintaining its own database, Clay connects to 150+ data providers (including Clearbit, Hunter, Apollo, Lusha, PeopleDataLabs, and dozens more) and lets you run waterfall enrichment across them in a spreadsheet-like interface.
The idea is compelling. You import a list of contacts, set up a waterfall sequence (try Provider A first, then Provider B, then Provider C), and Clay cascades through providers until it finds the data you need. Each column in the spreadsheet can pull from a different provider, and you can add AI-powered enrichment columns that use GPT to research companies or summarize data.
In my testing, Clay's waterfall approach does produce high match rates because you are drawing from multiple sources. The spreadsheet UX is intuitive for non-technical users, and the ability to add custom logic (AI formulas, conditional lookups, webhook triggers) makes it flexible for complex workflows.
The downside is cost and complexity. Clay's plans start at $149/mo for the Starter tier and go up to $800/mo for the Pro tier. But those prices only cover Clay's platform fee. You also need to pay each underlying data provider separately. If your waterfall uses Clearbit, Hunter, and Lusha, you are paying for Clay plus three separate data subscriptions. The total cost can exceed $500/mo easily.
Clay is also not API-first. It is designed as a spreadsheet tool. If you need programmatic enrichment in your product or CRM workflow, Clay requires workarounds. There is no native REST API for enrichment, no SDK, and no MCP server for AI agents.

