Clay is the most complete GTM data workbench you can buy, and in 2026 it is also the most expensive one to run at volume unless your workload fits its pricing model exactly. Both things are true, and which one matters to you depends on who operates it and what they build.
This review is written by Databar, which competes with Clay and runs many of the same data providers. We have tried to keep the opinion to the sections labelled as opinion and the rest to what Clay's own pricing page, its March 2026 announcement and its public reviews say. If you're already past the review stage and just want the list of options, go to Clay alternatives compared.

The verdict in four lines
Buy Clay if your team is non-technical, learns from templates, and uses its native sequencer or ad-audience sync as part of the workflow. Nothing else has the community or the template library.
Think twice if you need API or HTTP access, because that now starts on the $446-a-month Growth tier, or if your workflows touch each row many times, because every step spends an Action before any data is bought.
Budget for the learning curve. The most common complaint in Clay's G2 reviews is two to four weeks to basic proficiency, and the credits burned while learning are the second.
Expect to pay two currencies. Data Credits for lookups, Actions for everything else. Forecasting the bill means forecasting both.
What Clay is in 2026
Clay pivoted to sales in 2021 as a spreadsheet that could call APIs, and became the tool that defined the GTM engineer role. Today its own homepage describes it as infrastructure to get any data, run agentic workflows, and launch GTM plays. Concretely, it is a table-shaped workspace where each column can be a data provider, an AI agent, a formula or an integration, and rows flow through those columns in order.
The pieces, in Clay's own product names:
Data marketplace. 200+ providers by Clay's current count, bought with Data Credits inside the table.
Waterfalls. Try providers in sequence and stop at the first result, the standard way to lift match rates above any single vendor.
Claygents and Account Agents. AI agents that browse the web to research a company or person and return structured answers. Our separate Claygent write-up covers costs and limits.
Signals and intent. Job changes, promotions, web intent on the Growth tier.
Audiences and ads. Centralize first- and third-party data and sync audiences to LinkedIn, Meta and Google.
Sequencer and CRM enrichment. A native sequencer, and auto-sync to the CRM on Growth and above.
Agent plugin, API and CLI. New in 2026: build in Clay from a coding agent, with API and CLI access on paid tiers.
Commercially it is the giant of the category: roughly $150M in annual recurring revenue by Sacra's May 2026 estimate, a $7.1B valuation as of September 2026, over 500,000 teams by its own count, customers like Anthropic, Intercom and OpenAI, a four-tier partner program and its own conference, Sculpt, on 8 October in San Francisco. Whatever else is true, Clay is not going anywhere.
Clay pricing in 2026

On 11 March 2026 Clay collapsed three self-serve plans into two, split billing into Data Credits and Actions, cut marketplace data prices by 50 to 90 percent, and reclassified HTTP requests from free to action-consuming. Clay's co-founder published the reasoning alongside the change and acknowledged an expected revenue hit of about 10 percent from it. The tiers as shown on clay.com/pricing in September 2026:
Plan | Price | Data Credits / month | Actions / month | Notable gates |
|---|---|---|---|---|
Free | $0 | 100 | 500 | Unlimited seats and tables, waterfalls, Claygent, 200 rows per table |
Launch | From $167/mo billed annually ($185 monthly) | 3,000, expandable to 50,000 | 15,000, expandable to 200,000 | Phone enrichment, job-change signals, email integrations, 50,000 rows per table |
Growth | From $446/mo billed annually ($495 monthly) | 6,000, expandable to 50,000 | 40,000, expandable to 200,000 | CRM auto-sync, HTTP API integrations, web intent, unlimited ad audiences, priority support |
Enterprise | Custom, annual commitment | 100,000+ typical | 100,000+ typical | SSO, RBAC, bulk enrichment, dedicated growth strategist |
What the two currencies pay for
Data Credits buy lookups from the marketplace. Clay lists them from $0.05 each, and most enrichments cost more than one: a work email, a phone number or an AI research row each carry their own price in credits. Unused credits roll over up to twice the monthly amount on Launch and Growth. Top-ups carry a 30 percent premium, down from 50 percent before March.
Actions pay for the platform: every workflow step, formula, AI call, CRM sync, export and, since March, every HTTP request. This is the meter teams underestimate. A row that passes through an eight-column workflow spends eight actions on the way, whether or not any provider returned data. 15,000 actions on Launch sounds like a lot until you divide it by columns.
The HTTP change
Before March, HTTP integrations against your own provider keys were free orchestration and available on the old $349 Explorer tier. After March they consume actions and require Growth. Clay's own community post put it plainly: HTTP functions were complimentary and are now paid actions. For a team that built waterfalls on its own API keys, that turns a fixed cost into a variable one and raises the entry price to $446 a month billed annually. For a team that buys everything from the marketplace, the same change made data cheaper. Which side of that line you sit on is the single most important question before you buy.
Two worked examples
A small marketplace-only team. 2,000 new leads a month, one email waterfall and one phone lookup per lead, a five-column workflow. Roughly 10,000 actions, and somewhere between 3,000 and 6,000 data credits depending on which providers hit. Launch covers the actions; the credits may need a top-up. Expect $185 to $300 a month.
A RevOps team with its own keys. 10,000 rows a month through a twelve-column workflow with three custom HTTP calls per row. 120,000 actions before any data is bought, which is above Growth's 40,000 base and needs the expanded allocation. Expect $495 plus expansion, and note that the HTTP calls were free before March.
For the same two workloads on a single-currency model, the Databar vs Clay page shows the line-by-line cost, including what 2,000 work emails and 1,500 phone numbers come to on each platform.
What Clay does well

The workspace itself. Clay's table is the best-designed surface in the category for building a workflow by hand. Sources, enrichments, formulas, agents and integrations are all columns, and the mental model holds up as workflows get complex.
Waterfalls. Clay popularized the idea of asking several providers in turn and it does it well. Match rates on emails and phones are materially higher than any single vendor's, which is why the whole category now works this way.

Claygent. The AI research agent is genuinely useful for questions no database answers: does this company hire SDRs, who is the founder, what did they announce last quarter. It costs credits per row and needs prompt discipline, but it works.
Templates, community and education. Clay University, a large template library, a Slack community, roughly 30 hackathons a quarter and a certified-agency marketplace. If your team learns from examples, this ecosystem is Clay's strongest moat and no alternative has anything like it.

Execution in the loop. A native sequencer and ad-audience sync mean a workflow can end in an email or a LinkedIn audience without leaving the tool. Most aggregators stop at the CRM.
Where Clay wears teams down
The learning curve. Reviewers on G2, where Clay holds a 4.8 rating, still name this as the top complaint: two to four weeks to basic proficiency. Clay is a workbench, and workbenches reward people who already know what they're building.
Credit burn while learning. The second most common complaint. A workflow that runs on 5,000 rows with a mistake in column four spends the credits anyway. Public reviews in 2026 describe hundreds of dollars lost in a week of experimentation, and Clay's support scores on consumer review sites are far below its G2 rating.
The action meter. See pricing. It is the mechanism by which a $167 plan becomes a $495 plan.
API access on the top tier only. Since March, HTTP integrations and API-driven workflows start at Growth. For a GTM engineer, that means the cheapest plan that lets you do your job is $446 a month billed annually.
Row caps per table. 200 on Free, 50,000 on Launch. Teams working account lists bigger than that split tables or move up.
Who should buy Clay
Ops teams that learn from templates and want a big community to copy from.
Teams that use the native sequencer or ad-audience sync as part of the same workflow.
Agencies whose clients expect Clay, or that are already Clay-certified.
Enterprises that want SSO, RBAC and a dedicated strategist, and can commit annually.
Who should look elsewhere
Anyone whose workflow is mostly custom HTTP calls on their own keys, because that got expensive in March.
Teams that need API, MCP or CLI access without paying for the top tier.
Teams that want one predictable bill rather than two meters.
GTM engineers who would rather write the workflow than click it. Claude Code vs Clay covers that trade-off.
Clay vs Databar

We run the same category, so here is the honest placement. Databar is an aggregator workspace with 160+ providers, waterfalls, AI research and CRM export, priced on one currency: plan credits, charged only when a provider returns a result. There are no action limits and no row limits, and the API, Python SDK, CLI and MCP server are on every plan, including the $99 Build plan. Clay has the bigger template library, the bigger community and a native sequencer; Databar doesn't. The side-by-side puts the same workloads on both bills, and if you move, Databar matches your unused Clay credits one for one.
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Frequently asked questions
How much does Clay cost per month?
Free is $0 with 100 data credits and 500 actions. Launch starts at $167 a month billed annually, or $185 monthly, with 3,000 data credits and 15,000 actions. Growth starts at $446 billed annually, or $495 monthly, with 6,000 credits and 40,000 actions. Enterprise is custom with an annual commitment.
What is the difference between Data Credits and Actions?
Data Credits buy lookups from the provider marketplace. Actions pay for platform work: workflow steps, AI calls, CRM syncs, exports and HTTP requests. A single row can consume many actions and zero credits if no provider is called.
Does Clay charge for lookups that return nothing?
Data Credits burn only on returned results. Actions are spent regardless, because they meter the step, not the outcome.
Does Clay have an API?
Yes. HTTP API integrations are included on Growth and Enterprise, and Clay added an agent plugin with API and CLI access in 2026. Free and Launch don't include HTTP integrations since the March change.
Is Clay worth it for a small team?
If the team is one operator who enjoys building and the volume is modest, Launch is fair value. If the team needs outreach in the same tool, Apollo is usually cheaper per seat; see Clay vs Apollo. If it needs enterprise data depth, see Clay vs ZoomInfo.
What are the best Clay alternatives?
Ten of them, with prices, are in Clay alternatives compared.
Related reading
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