The strongest no code data orchestrator in the market. Yalc operators who prefer visual workflows over Claude prompts gravitate here. For code first workflows, Crustdata plus Yalc is dramatically cheaper at the same depth.
Clay turns data enrichment into a spreadsheet. You import leads, add columns that pull from any of 150 plus providers (Apollo, ZoomInfo, FullEnrich, Hunter, LinkedIn, etc.), and chain operations with conditional logic. Claygents are AI research agents that perform tasks like "find this company's pricing page" or "summarize their last 5 LinkedIn posts" inside a column.
For Yalc workflows, Clay is the visual alternative to Yalc's code first orchestration. Where Yalc operators chain Crustdata MCP plus FullEnrich plus custom logic in Claude prompts, Clay operators do the same in a sheet. Both work. Yalc costs less but requires more setup. Clay costs more but lets non technical operators build the same workflows.
Clay sits at the **enrich** node and partly at the **score** node. Yalc operators rarely use Clay directly because Yalc skills (earleads-leads-qualification, the Crustdata MCP) cover the same ground from prompts.
The exception is teams transitioning from Clay to Yalc. Many Earleads clients arrived already running Clay workflows. The migration playbook is to keep Clay running for the workflows the team trusts while progressively rebuilding the same logic in Yalc skills.
The data orchestration layer for non technical operators. Yalc operators use it sparingly because Claude plus Crustdata covers the same surface from a prompt.
Copy paste prompts for Claude Code that invoke Clay.
No first party Yalc skill ships for Clay because Yalc's native enrichment stack (Crustdata MCP plus earleads-leads-qualification skill) covers the same workflow from prompts. The Yalc Framework is to migrate off Clay, not integrate with it.
→ Request a Yalc skill for this toolClay's pricing structure is credit based and not fully public. The 14 day Pro trial is genuinely usable for piloting. Beyond that, monthly plans scale by the number of credits you consume across the data marketplace and the AI agent (Claygent) runs.
The cost reality of Clay is that credits accumulate fast at scale. Every enrichment, every Claygent research run, every waterfall provider call burns credits. For workflows pushing thousands of leads per month, monthly bills frequently land in the $300 to $1500 range depending on credit allotment.
14 day Pro access. No credit card. Right for validation before commitment.
Entry credit allotment. Right for solo operators running a few hundred enriched leads per month.
Higher credit allotment plus advanced features. Right for teams running thousands of enrichments per month.
Different audiences. Clay if you prefer a visual spreadsheet and don't want to write prompts. Yalc plus Crustdata if you're code first and want to chain enrichment into longer workflows. Yalc costs less per enriched lead at scale.
Plan starting price is around $149 per month for the entry tier. Real costs depend on credits consumed. Heavy users at 1000+ enriched leads per month often pay $500 to $1500 monthly. Talk to sales for actual pricing.
Yes via CSV. Clay tables export to CSV; Yalc's earleads-leads-qualification skill takes CSV as one of its 5 input sources. The migration path is gradual. Start with Clay output as Yalc input, then progressively rebuild Clay workflows as Yalc skills.
Clay's AI research agent. You give it a prompt like "find this company's pricing page and extract plan tiers" and it runs inside a column for every row. Useful for fan-out research; expensive on credits at high row counts.
Yes via integrated providers. Pulls profile data, current employer, recent activity. Quality matches the underlying providers (mostly LinkedIn scraping APIs).
Yes for most use cases. Process a few hundred leads, run a few Claygents, confirm the data quality and credit consumption before committing. Don't sign up for an annual plan without running the trial first.
Or fork the repo and contribute one.