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Clay vs Enrich

An independent, review-free comparison compiled by the SaaSTracker editorial team. Both products are profiled in full, and neither can pay for placement here.

Still shortlisting? Browse the best in B2B Data Providers for every option we track, with award winners called out.

The short answer

Editorial assessment

Enrich compared with Clay

Clay is the orchestration layer and can call providers like Enrich inside a waterfall, so these are complements rather than rivals. Clay is what you buy for AI research columns, conditional logic, and scheduled workflows; Enrich is what you plug in when you want the cheapest resolution step underneath that orchestration. A cost-conscious Clay user should be testing Enrich as an early waterfall step.

Choose Clay if

GTM engineers and data-savvy teams building automated, multi-provider enrichment and personalization pipelines.

Choose Enrich if

Developers and technical teams that consume enrichment programmatically and want the lowest cost per API call, particularly anyone running high-volume validation or building enrichment into a product rather than into a sales workflow.

Side by side

13 attributes
Clay compared with Enrich across 13 attributes, including pricing, setup time, platforms, and company facts.
AttributeClayEnrich
CategoryDataData
Starting priceFree plan; paid from $167/mo billed annually (Launch)$49 per month (Growth plan, 100,000 credits) (free plan available)
Pricing modelTwo metered allowances per plan, actions (running workflows, including waterfall steps and Claygent) and data credits (data bought from providers), each set on its own slider, with a free plan, two self-serve tiers, and custom Enterprise. CRM auto-sync, webhooks, and the HTTP API integration are gated at Growth.Monthly credit plans with per-endpoint credit costs drawn from one pool, unlimited seats and no contract, top-ups at the plan rate, and annual billing on Scale and Pro at about two months off.
Free plan500 actions and 100 data credits per month, unlimited seats and tables, up to 200 rows per table.No permanent free plan; the 100 signup credits are one-time.
Free trial14 days100 free credits with no credit card required
Best forGTM engineers and data-savvy teams building automated, multi-provider enrichment and personalization pipelines.Developers and technical teams that consume enrichment programmatically and want the lowest cost per API call, particularly anyone running high-volume validation or building enrichment into a product rather than into a sales workflow.
Setup timeFirst enriched table in an hour via templates; a production pipeline (sources, then waterfalls, then scoring, then delivery) typically takes 2-4 weeks to harden.Under an hour for a developer: sign up, take the 100 free credits, call an endpoint, map the response. The Workbench spreadsheet is there if you want it, but most teams start from the API.
Learning curveThe steepest in this report, genuinely a skill. Templates, the academy, and a large creator ecosystem (courses, agencies) flatten it substantially.Low for engineers, awkward for everyone else. The essential thing to internalise is the credit table, because a phone lookup costs fifty times an email lookup and five hundred times a validation, and a team that does not model its endpoint mix will misjudge a plan by an order of magnitude.
PlatformsWeb app, Chrome extension, REST APIREST API, Web application, Bulk processing, No-code integrations
ComplianceSOC 2 Type II, GDPR programSOC 2 (stated on the pricing page), GDPR (stated on the pricing page)
Founded20172023
HeadquartersNew York City, USDubai, United Arab Emirates
OwnershipVenture-backed (private)Venture-backed (early stage)

Strengths and limitations

Clay

Strengths

  • Waterfall coverage decisively beats any single data provider.
  • Claygent turns open-web research into a scalable, auditable pipeline step.
  • Deep native integrations across the modern outbound stack (sequencers, CRMs, signals).
  • Template/creator ecosystem compounds, proven workflows are one click away.

Limitations

  • Real learning curve, tables, waterfalls, and prompt design reward (effectively require) a technical operator.
  • Credit economics are powerful but unforgiving without active management.
  • Not a proprietary data source; quality ceilings are its providers'.
  • Enterprise governance (SSO, roles, audit) only matures at top tiers.

Enrich

Strengths

  • The cheapest published rates in this batch: roughly half a cent per email lookup and around 10 to 25 cents per phone number, well below single-source and waterfall competitors alike.
  • Per-endpoint credit pricing means validation at one credit costs a tenth of a lookup, which makes bulk list hygiene nearly free rather than a second subscription.
  • No per-seat fees and no contract, so a twelve-person team pays the same as one person and the monthly price needs no annual commitment to unlock.
  • Genuinely API-first, with structured responses across emails, phones, titles, company data, and social profiles rather than an API bolted onto a web app.

Limitations

  • Unused credits do not roll over, which penalises lumpy usage.
  • API rate limits are not prominently documented, which is a problem for anyone planning a high-throughput pipeline.
  • The operating entity is registered in Dubai rather than in the EEA, which is a materially weaker starting point for a European data protection review than Dropcontact, Icypeas, or BetterContact.
  • The pricing page states SOC 2 and GDPR compliance and offers SSO and a custom security review on Enterprise, but no ISO 27001 or audit report is published on the site.

Pricing compared

Clay

Two metered allowances per plan, actions (running workflows, including waterfall steps and Claygent) and data credits (data bought from providers), each set on its own slider, with a free plan, two self-serve tiers, and custom Enterprise. CRM auto-sync, webhooks, and the HTTP API integration are gated at Growth.

  • Free$0
  • Launch$167
  • Growth$446
  • EnterpriseCustom

Clay's effective price is workflow-dependent: well-designed tables deliver coverage and personalization no single vendor matches at any price, while naive configurations burn credits alarmingly. Teams treating credit design as part of the craft consistently report it as the stack's highest-ROI line item.

Enrich

Monthly credit plans with per-endpoint credit costs drawn from one pool, unlimited seats and no contract, top-ups at the plan rate, and annual billing on Scale and Pro at about two months off.

  • Free credits$0
  • Growth$49
  • Scale$149
  • Pro$499

On published numbers Enrich is the cheapest option in this batch by a wide margin: about half a cent per email lookup at the Growth plan, roughly a tenth of what Hunter charges and a twentieth of what a waterfall charges, with phone numbers at around 10 to 25 cents against 33 to 55 cents elsewhere. Validation at one credit makes bulk hygiene almost free. The value is real for an API consumer with no need for a workspace. The reason to be careful is that two of the variables that determine actual cost, whether failed lookups burn credits and whether credits expire, are not published, and a single unanswered 500-credit phone miss policy could move the true cost per number by a large multiple. Test both on the free credits, get the answers in writing, and if they come back the way the pricing implies, this is the best price per record here.

Editorial verdict on each

Clay

Clay is the most consequential product in this report: it moved the center of outbound gravity from databases and sequencers to the orchestration layer between them, and its valuation sprint reflects substance, not froth. The costs are honest, a real learning curve and credit economics that punish sloppiness, but teams that invest in the craft get coverage, research, and personalization nothing else assembles. If your outbound has an engineer, this is their instrument.

Read the full Clay profile

Enrich

Enrich is the cheapest way to get contact data by the request, and it is honest about what it is: an API with a website attached. Half a cent per email lookup, one credit for a validation, phones at around 15 to 25 cents, no seat fees, and no contract make it the obvious first test for any developer building enrichment into a pipeline or a product. Two things stop it being an unqualified recommendation. Credits do not roll over, which punishes lumpy usage, though failed lookups are never charged. And an operating entity in Dubai whose GDPR position is stated rather than documented in depth is a weaker starting point for contacting people in Europe than an EU-hosted vendor. For steady, programmatic volume it is the best price per record in this category.

Read the full Enrich profile

Clay profile last reviewed 2026-09-26; Enrich last reviewed 2026-09-26. Pricing is compiled from public sources and can change without notice. See our methodology.

The best in B2B Data Providers

26 tracked

B2B data providers supply the contact and company information (emails, phone numbers, firmographics, and buying signals) that feeds prospecting lists and enrichment workflows.

  • Apollo.io logoApollo.ioCategory Leader

    The largest self-serve contact database in the category, fused with sequencing, data and execution in one product.

  • Lusha logoLushaBest Value

    Accurate direct dials and a genuinely usable free tier make Lusha the lowest-friction entry point into paid B2B data.

  • Prospeo logoProspeoMomentum

    Founded in 2022 and already at 40,000 users, Prospeo shipped AI Search, lookalikes, and an MCP server in 2025 as its database passed 280M leads.

  • Exa logoExaInnovation

    Semantic search over the live web with contact data attached made prospecting a language problem rather than a database subscription.

  • Anymail Finder logoAnymail FinderEase of Use

    Signup to verified emails in five minutes with zero configuration, and failed searches cost nothing, so nobody needs training to get value from Anymailfinder.

Frequently asked questions

6 questions

What is the difference between Clay and Enrich?

Clay is the orchestration layer and can call providers like Enrich inside a waterfall, so these are complements rather than rivals. Clay is what you buy for AI research columns, conditional logic, and scheduled workflows; Enrich is what you plug in when you want the cheapest resolution step underneath that orchestration. A cost-conscious Clay user should be testing Enrich as an early waterfall step.

Is Clay or Enrich cheaper?

Clay starts at Free plan; paid from $167/mo billed annually (Launch). Enrich starts at $49 per month (Growth plan, 100,000 credits) (free plan available). The billing models differ, so the entry price is rarely the whole cost. Clay pricing model: Two metered allowances per plan, actions (running workflows, including waterfall steps and Claygent) and data credits (data bought from providers), each set on its own slider, with a free plan, two self-serve tiers, and custom Enterprise. Enrich pricing model: Monthly credit plans with per-endpoint credit costs drawn from one pool, unlimited seats and no contract, top-ups at the plan rate, and annual billing on Scale and Pro at about two months off.

Does Clay or Enrich have a free plan?

Clay has a free plan. 500 actions and 100 data credits per month, unlimited seats and tables, up to 200 rows per table. Trial terms: 14 days. Enrich has a free plan. No permanent free plan; the 100 signup credits are one-time. Trial terms: 100 free credits with no credit card required.

Who should choose Clay?

GTM engineers and data-savvy teams building automated, multi-provider enrichment and personalization pipelines.

Who should choose Enrich?

Developers and technical teams that consume enrichment programmatically and want the lowest cost per API call, particularly anyone running high-volume validation or building enrichment into a product rather than into a sales workflow.

What are the best alternatives to Clay and Enrich?

SaaSTracker profiles 26 products in B2B Data Providers. The Summer 2026 awards in the category went to Apollo.io (Category Leader), Lusha (Best Value), Prospeo (Momentum). Every profile is compiled from primary sources, so a shortlist can be built from pricing, limitations, and fit rather than from star ratings.