Clay
Data, enrichment, and action in one place.
What is Clay
Clay connects to over 150 data providers and lets teams run AI agents to research companies and people, enrich records, scrape websites, and push results directly into HubSpot, Salesforce, or an outbound sequencer — all from a single workspace. It's built for SDRs, BDRs, RevOps teams, and GTM engineers at mid-market and enterprise companies who need to move beyond single-source data and manual enrichment workflows. The standout capability is waterfall enrichment: Clay queries multiple providers in sequence and stops when a field is filled, which meaningfully reduces wasted credits and improves coverage compared to single-vendor lookups. Where it falls short is the learning curve — getting full value out of Clay requires someone who can think in workflows, and teams without a dedicated GTM engineer or RevOps owner often underutilize it.
Key features
email, phone, firmographic, signal
Claude / GPT) for per-row research and copy
call any REST endpoint inline
Instantly, HubSpot, Salesforce, Apollo
Vanderbuild take
Clay is the closest thing GTM engineering has to an operating system — it sits at the intersection of data enrichment, prospecting database, and workflow automation, and it's the tool we'd recommend first to any RevOps or GTM engineer who needs to orchestrate multi-source data at scale. If you're serious about agentic outbound, this is non-negotiable: the MCP server makes it especially useful as an orchestration layer for AI agents, and the public API gives you clean programmatic access on top of that. Budget tier 3 is accurate — paid plans start at $149/mo but credits and actions are metered separately, so costs climb faster than the entry price suggests, and you'll want an experienced operator to avoid burning credits on poorly structured waterfalls. The honest limitation is that Clay rewards investment: teams that drop it into a workflow without a dedicated owner tend to get list-building and not much else, leaving the sequencing, CRM enrichment, and signal-based automation largely untouched.
Agentic stack profile
MCP serverYesLive MCP server — agents can call this tool directly.
Clay's MCP connects workspaces to AI tools like ChatGPT and Claude, allowing admins to set credit limits and access data providers for contact, company, and web intelligence.
Open MCP →APIRESTProgrammatic access available.
REST API — straightforward to call from any agent or workflow tool. Rate limits and auth vary by plan.
API docs →Agentic readinessNativeBuilt for agents from the ground up.
MCP server + agent-friendly API + at least one autonomous workflow out of the box. The bar for 'Native' is high — only a handful of tools currently qualify.
Stack roleEnricher · Data source · OrchestratorWhere this tool slots into an agentic pipeline.
Plays the role of Enricher + Data source + Orchestrator in an agentic pipeline. Use it to add firmographic, technographic, and signal data to a lead row on the fly; source contacts, companies, and the raw inputs an agent needs to act.
Clay alternatives
Tools that solve a similar problem — compared at a glance.
- Pricing
- Freemium
- Budget
- $$$
- Best for
- RevOps, GTM Engineer
- Readiness
- Native
- MCP
- Yes
- API
- REST
- Pricing
- Freemium
- Budget
- $$
- Best for
- SDR / BDR, Account Executive
- Readiness
- Native
- MCP
- Yes
- API
- REST
- Pricing
- Seat-based
- Budget
- $$
- Best for
- Founder, RevOps
- Readiness
- None
- API
- No
Frequently asked questions
Do I need an engineer to use Clay?
No — but you need an operator who's comfortable with formulas and APIs. Think 'spreadsheet power-user', not 'developer'. We typically train one person on a team and they become the Clay owner.
How does the MCP server compare to the REST API?
The MCP server is the better path for any agent integration. It exposes the same primitives but with structured schemas your agent can introspect — no manual endpoint mapping, fewer auth headaches.
Is Clay overkill for a small team?
If you're under 100 outbound leads/week and don't personalise, yes. Apollo or Instantly is enough. Clay starts paying off when you have multiple ICPs, signal-based triggers, or AI-generated personalisation.
How does Clay handle GDPR for EU prospects?
Clay itself is a tool layer — GDPR compliance depends on which data providers you enable. The platform exposes provider-level toggles so you can restrict to GDPR-friendly vendors (Datagma, Cognism) and avoid US-only sources for European campaigns.
What's the typical setup time for a useful Clay workflow?
First useful table: 2–4 hours with an operator who's done it before, 1–2 days from scratch. First production-grade ICP-to-sequence pipeline: typically 1–2 weeks with someone full-time on it.
Can Clay replace our CRM?
No, and it shouldn't try to. Clay is a data orchestration layer that feeds your CRM. Keep HubSpot or Salesforce as the source of truth for opportunities and accounts; use Clay to enrich, route, and personalise.
How does Clay's pricing scale with usage?
Clay charges per credit, and credits get consumed by enrichments, AI prompts, and HTTP calls. A typical 5-person outbound team lands somewhere between $349–$800/mo. Heavy AI-personalisation pipelines push it to $1.5k+/mo.
Does Clay work alongside Apollo or do they overlap?
They complement, they don't replace. Apollo is your contact database and sequencer; Clay is the enrichment + personalisation layer between them. The most common stack is: Apollo for contacts → Clay for waterfall + AI → Smartlead for sending.
Can I export data out of Clay?
Yes — CSV export, native push to most sequencers and CRMs, webhook to anywhere. There's no lock-in on your enriched data.
Who owns the Clay table once we hand it over to a client?
Clay's workspace structure lets you transfer ownership cleanly. Agencies typically build inside their own workspace, then duplicate the table into the client's workspace at handover. The client owns and pays from there.