Clay: Pricing, Features & What It Actually Does

Clay’s free plan gives you 100 data credits a month. A single waterfall enrichment that checks five providers before finding a working email can burn through several credits per row. Run that against a list of 2,000 leads and the free tier is gone before lunch — which is the first thing anyone evaluating Clay needs to understand about how its pricing actually works.

TL;DR

Clay is a spreadsheet-style data enrichment and workflow automation platform for go-to-market teams. Instead of owning one contact database like most prospecting tools, it connects to more than 150 external data providers — Clearbit, Hunter, Apollo, Lusha, and dozens of others — and runs “waterfall” enrichment across them, using each row’s data to trigger the next lookup automatically. It’s built for RevOps, growth, and technical marketing teams who want custom prospecting logic instead of a fixed data source. The biggest caveat: Clay has a genuinely steep learning curve, and its credit-based pricing means cost scales with usage in ways that are hard to predict until you’ve actually built and run a workflow. It rewards teams willing to invest weeks in setup; it frustrates teams expecting a plug-and-play tool. Its rapid rise in valuation — from roughly $500 million in mid-2024 to over $3 billion a year later — reflects how much demand there is for this kind of flexible, multi-provider enrichment layer among GTM teams, even with the setup cost attached.

At a glance

Category	Detail
What it is	Data enrichment and GTM workflow automation platform, spreadsheet-style interface
Built by	Founded in 2017 by Kareem Amin and Nicolae Rusan; raised a Series C at a $3.1B valuation in June 2025
Pricing model	Monthly actions and data credits, unlimited seats on every plan
Starting price	Free (500 actions, 100 credits/month); paid plans start at $167/month
Standout feature	Waterfall enrichment across 150+ data providers in one table, plus Claygent AI research agent
Best known for	Custom, highly specific GTM data workflows that off-the-shelf prospecting tools can’t replicate

What Clay does

Clay’s interface looks like a spreadsheet: rows are leads or companies, columns are data points or actions. What makes it different from an actual spreadsheet is that each column can be a live enrichment call, an AI research step, or a conditional trigger — and the whole thing runs automatically as rows are added or updated. A table built once can keep running indefinitely against new rows, which is what turns Clay from a one-time list-cleaning tool into an ongoing part of a team’s GTM infrastructure.

Waterfall enrichment

Instead of relying on a single data vendor, Clay lets you chain multiple providers in sequence: try Clearbit first, fall back to Hunter if it comes up empty, fall back to Apollo after that. This “waterfall” approach is Clay’s core pitch — it trades the simplicity of one data source for meaningfully higher match rates, at the cost of consuming more credits per row when several providers have to be queried.

Claygent and AI research

Claygent is Clay’s AI agent for tasks a static API can’t handle — scraping a company’s careers page to check if they’re hiring for a specific role, summarizing recent news about a company, or pulling a specific detail off a website that isn’t available through a structured data provider. It’s the part of Clay that most differentiates it from a standard enrichment tool, and also the part most likely to consume credits unpredictably if a workflow isn’t scoped carefully.

Workflow automation and integrations

Beyond enrichment, Clay tables can trigger outbound actions — pushing enriched leads into an email sequencer, syncing to a CRM, or firing a webhook. Paid tiers add auto-sync with CRMs, data warehouse sync, HTTP API integrations, and web intent-signal tracking, which is what lets Clay function as a hub connecting data sources to the tools that actually act on that data.

CRM read and write actions

Clay’s HubSpot and Salesforce integrations work as dedicated actions inside a table: Lookup actions pull existing records from a CRM into Clay for enrichment without modifying anything on the CRM side, while separate write actions push enriched data back once it’s ready. This read/write separation matters for RevOps teams who want to enrich and validate data before it ever touches a production CRM record, rather than writing directly and risking bad data reaching the sales team.

Pricing

Plan	Price	Actions/mo	Data credits/mo
Free	$0	500	100
Launch	From $167/mo ($54/mo annualized at minimum tier)	15,000	3,000
Growth	From $446/mo ($185/mo annualized at minimum tier)	40,000	6,000
Enterprise	Custom, annual commitment required	Custom (200,000+ typical)	Custom (100,000+/yr typical)

Every plan, including Free, includes unlimited seats and unlimited tables — Clay doesn’t charge per user, which is unusual in this category. What it charges for instead is usage: actions (each enrichment step, AI call, or automation trigger) and data credits (each external lookup). A single lead run through a multi-step waterfall can consume anywhere from five to fifteen credits depending on how many fallback providers get queried before a match is found, which makes it hard to estimate total monthly cost from list size alone. Phone number enrichment is only available from Launch up. For teams running large lists through multi-provider waterfalls or heavy Claygent use, real monthly spend commonly lands well above the plan minimum, since heavier workflows burn credits faster than the headline numbers suggest — it’s worth running a small test batch before committing to a tier based on projected list volume.

Pros

• Waterfall enrichment genuinely raises match rates. Chaining multiple data providers catches contacts that any single source would miss, which is the entire reason RevOps teams tolerate the setup cost.
• No per-seat pricing. Unlimited seats on every plan, including Free, makes it viable for a whole team to build and use workflows without licensing math getting in the way.
• Flexibility instead of rigid structure. Clay doesn’t force a fixed workflow — teams build the logic that fits how they actually operate, which is a consistent theme in user reviews.
• Claygent handles research a static API can’t. Scraping specific facts off a website or summarizing unstructured information extends what “enrichment” can mean beyond structured database lookups.
• Active user community. A large base of practitioners sharing workflows and templates on LinkedIn and Reddit shortens the learning curve in practice, even though the tool itself doesn’t.
• Clay University lowers the onboarding cost somewhat. Clay publishes its own structured lessons — including specific walkthroughs for HubSpot and Salesforce enrichment workflows — which gives new users a starting template instead of a blank table and a prayer.

Cons

• The learning curve is real, not a nitpick. Building a non-trivial workflow requires understanding conditional logic, API behavior, and credit economics — most teams need multiple weeks before Clay starts paying off, and it’s not something a non-technical marketer can pick up in an afternoon.
• Credit consumption is hard to predict upfront. Waterfall enrichment and Claygent calls can burn through credits faster than expected, and the cost of a given workflow often isn’t clear until after it’s been run.
• It doesn’t send outreach itself. Clay builds and enriches the list; sending sequences requires a separate tool, so it adds one more system to the stack instead of replacing an outbound platform outright.
• Cost climbs quickly at scale. Growth-tier pricing and above scales fast, and heavy users report real monthly spend running well past plan minimums once usage ramps.
• Read-only CRM lookups aren’t the same as full two-way sync. Getting data out of HubSpot or Salesforce into Clay is straightforward; writing enriched data back cleanly, especially into Salesforce’s more rigid object structure, takes more setup than a typical native CRM integration would.

How it compares

The most common comparison is against Apollo.io, and the two represent genuinely different philosophies. Apollo owns and maintains its own database of 275 million-plus B2B contacts, and it includes the full loop — finding contacts and sending emails or calls from inside the same product. That makes Apollo faster to get running: sign up, search, start sending, no separate enrichment step required.

Clay doesn’t own a database at all. It connects to Apollo and more than 150 other providers and lets a team build custom logic across all of them, which produces higher data accuracy for teams willing to invest in setup, but requires pairing Clay with a separate sending tool since it doesn’t run outreach itself. The practical split: SDR teams that need a database and outreach tool running quickly tend to get there faster and cheaper with Apollo; ops-driven teams chasing the highest possible data accuracy across multiple sources are usually the ones who find Clay’s learning curve worth climbing.

Cost comparisons between the two also aren’t apples to apples. Apollo’s per-user pricing is predictable month to month regardless of how a rep uses the tool, while Clay’s credit-based model means two teams on the same plan can end up with very different real costs depending on how aggressive their waterfall enrichment settings are and how much Claygent research they run. That unpredictability is the tradeoff for Clay’s flexibility — a team that scopes its workflows tightly can keep costs close to the plan minimum, while a team that lets Claygent run loosely across a large list can burn through credits fast.

As with any GTM tool purchase, it’s worth cross-checking vendor claims against independent reviews on G2, Capterra, TrustRadius, or Spotsaas rather than relying on either company’s own marketing, since real-world credit usage and match rates vary a lot by industry and list quality.

Who it’s for

RevOps and growth teams with engineering comfort: Clay rewards teams that can think in conditional logic and are willing to iterate on a workflow until it’s tuned, which is closer to light engineering than typical spreadsheet work. Teams with even one person comfortable reading API documentation will get workflows running faster than teams without that background.

Teams chasing data accuracy over speed: If match rate and data quality matter more than getting a campaign live quickly, waterfall enrichment across many providers is Clay’s clearest advantage, particularly for lists where a single data source consistently comes up short on certain segments.

Multi-person teams that don’t want per-seat costs: Unlimited seats on every tier makes Clay economical for teams where several people need table access, even on lower usage tiers, since adding a new team member doesn’t change the monthly bill the way it would with most per-seat competitors.

Not a fit for teams wanting a single tool that also sends outreach: Clay needs to be paired with a sequencing tool, so teams wanting enrichment and sending in one product should look elsewhere first, or budget for a second subscription alongside it.

FAQ

What is Clay used for?

Clay is used to build custom data enrichment and GTM workflows — combining data from multiple providers into one table, then automating actions like scoring, CRM sync, or triggering outreach based on that data.

Does Clay charge per seat?

No. All plans, including the free tier, include unlimited seats and tables. Pricing scales with monthly actions and data credits instead of user count.

Is there a free plan?

Yes — Clay’s free plan includes 500 actions and 100 data credits per month, with unlimited seats and tables, though phone number enrichment is not available on Free.

How does Clay’s credit system work?

Each enrichment lookup, AI research call (Claygent), or workflow action consumes credits from a monthly pool. Waterfall enrichment across multiple providers can consume several credits per row, since each fallback provider queried counts against the total.

Is Clay hard to learn?

Yes, relative to most GTM tools — the learning curve is the most commonly cited complaint in user reviews, and most teams need several weeks of setup before workflows run smoothly.

Does Clay send emails or run outreach sequences?

Clay includes a basic sequencer for email, but its core function is enrichment and data workflow automation, not full-scale outbound sending — most teams pair it with a dedicated sequencing tool.

What data providers does Clay integrate with?

More than 150, including Clearbit, Hunter, Apollo, Lusha, and PeopleDataLabs, accessed through Clay’s waterfall enrichment system instead of a single proprietary database.

Is Clay worth the cost compared to Apollo?

It depends on the priority. Apollo is cheaper and faster to start using since it owns its own database and includes outreach tools. Clay costs more and takes longer to set up, but tends to produce higher match rates for teams that need data accuracy across multiple sources.

Who founded Clay and how much funding has it raised?

Clay was founded in 2017 by Kareem Amin and Nicolae Rusan. It has raised multiple funding rounds, most recently a Series C reported at a $3.1 billion valuation in mid-2025, up from a $1.25 billion valuation just months earlier — a fast climb that reflects how much GTM data-enrichment demand grew through 2025 and into 2026.

Does Clay integrate with HubSpot and Salesforce?

Yes. Both integrations support reading existing CRM data into Clay for enrichment, with separate write actions to push enriched data back — Salesforce’s write actions require more setup due to its more rigid object structure compared to HubSpot.

What is Clay University?

Clay’s own library of structured lessons covering specific workflows, including CRM enrichment walkthroughs for HubSpot and Salesforce, aimed at shortening the setup time new users otherwise face starting from a blank table.

Can Clay run AI research on companies automatically?

Yes — Claygent is Clay’s AI agent, capable of scraping a specific page for a detail, summarizing recent news about a company, or checking public information a structured data provider wouldn’t have, though each Claygent call consumes credits and can add up faster than standard enrichment lookups if used broadly across a large list.

Verdict

Clay is worth the setup investment for RevOps and growth teams that need data accuracy a single-source tool can’t match, and the lack of per-seat pricing makes it economical once a team is past the learning curve. It’s the wrong choice for anyone expecting to log in and start prospecting the same day — that’s what Apollo and similar all-in-one tools are for. Anyone evaluating Clay seriously should run a real workflow against their actual lead list before committing to a paid tier, since credit consumption in practice is the number that determines whether the pricing works out, and should budget real onboarding time rather than assuming the learning curve is a formality.

See Clay’s full profile, pricing, and verified reviews on Spotsaas, listed under Lead Generation Software alongside its competitors.

Sources

• Clay — Pricing (checked July 2026)
• G2 — Clay Pros and Cons (checked July 2026)
• Enrich — Clay vs Apollo: Two Different Enrichment Philosophies (checked July 2026)
• Clay — Series B Expansion Announcement (checked July 2026)

Pricing verified July 2026. Features change; this reflects the product as of July 2026.