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Clay vs Other enrichment tools
Tool Comparison

Clay Alternatives: 7 Tools Compared by the Job You Use Clay For

Seven Clay alternatives for GTM teams, grouped by the part of Clay you would replace: data lookups, AI research columns, workflows or the whole table. Prices read on each vendor's pricing page in October 2026, the reasons teams leave, and when staying on Clay is cheaper.

Alexander ChuaCo-Founder, Growigami November 5, 2026 10 min read

Short answer: The main Clay alternatives are Freckle, Bitscale and Persana (enrichment tables like Clay’s), Apollo (one database with sequences), Gumloop and n8n (AI workflow builders) and People Data Labs (a data API). Pick by the part of Clay you would replace. If your team leaves Clay because nobody owns the tables, a cheaper tool with the same model will have the same problem.

A note on who is writing this. When we checked Google for “clay alternatives” in October 2026, four of the top five results were written by vendors selling a replacement, and each one recommended itself. Most listed no Clay prices, and several quoted plans from before Clay changed its pricing in March 2026. We sell none of these tools and have no affiliate deals. Every price below was read on the vendor’s own pricing page on October 25, 2026, in US dollars unless noted.

What does Clay do that an alternative has to replace?

Clay does four jobs in one table, and most alternatives replace one or two of them:

  1. Data lookups. Waterfalls that try one provider after another, across 150+ providers on Clay’s marketplace.
  2. AI research per row. Claygent fills custom columns from web research (“does this company sell to hospitals?”).
  3. Workflows. CRM sync, HTTP API calls and webhooks, which Clay puts on its Growth plan.
  4. Sending. Clay’s sequencer, on Launch and above.

Clay is large and growing. Sacra estimates it reached $150 million in annual recurring revenue in May 2026, and a January 2026 tender offer valued it at $5 billion. In Bloomberry’s analysis of GTM engineering job posts, Clay was the tool named most often. Leaving it changes who builds and maintains your data work, so settle that before you compare features.

Which Clay alternatives are there, and what do they cost?

ToolReplacesEntry paid price (vendor’s page, October 25, 2026)Free planBest fit
Clay (baseline)All fourLaunch $185 a month or $167 billed annually; Growth $495 or $446500 actions and 100 data credits a monthA team with a GTM engineer who owns the tables
FreckleLookups, AI researchBuild from $99 a month; annual saves 15%250 creditsTeams that want a Clay-style table with HTTP API and their own API keys at a lower entry price
BitscaleLookups, AI research, some workflowGrowth $349 a month (15,000 credits); Booster $799 (50,000); annual saves 10%200 creditsHubSpot teams that want two-way sync and credits that roll over
PersanaLookups, AI researchStarter $68 a month billed annually (24,000 credits a year) or $85 monthly; Growth $151 and Pro $400 a month, billed annually50 creditsIndividual sellers and small teams starting with enrichment
ApolloLookups, sendingBasic $49 and Professional $79 per seat per month, billed annually900 credits per seat per yearSmall teams that want contacts and sequences with no build
GumloopAI research, workflowsPro from $37 a month with 20,000 credits a month and a 14-day trialTrialTeams building AI workflows that go beyond sales data
n8nWorkflowsCloud Starter $20 a month billed annually (2,500 workflow executions); Pro $50 (10,000); Business $800, self-hosted. Free Community Edition on GitHubCommunity EditionTeams with an engineer who will host and maintain it
People Data LabsLookupsPro from $98 a month, from 350 credits100 credits a month, contact fields hiddenEngineers building enrichment into their own product or warehouse

n8n’s page can show prices in euros depending on where you read it; the figures above are its US-dollar prices. Credit units differ across every tool here, so the entry price says little until you convert it to cost per enriched row at your volume.

Why do teams look for Clay alternatives?

Three reasons come up across reviews and comparisons:

The bill is hard to predict. Clay meters two things. Actions measure “platform usage: enrichment and GTM execution,” and data credits “buy data and AI from vendors in Clay’s marketplace,” according to its pricing page. Its FAQ adds that a run using your own API key still counts as one action, with no data credit used. A table that reruns on every new row can spend more than planned.

Nobody owns the tables. Every Clay workflow is something a person built and must keep working. When the GTM engineer leaves, the tables stop being updated and the tool turns into an expensive spreadsheet.

The team only uses one part. A team that only looks up emails, or only runs AI research on a list, pays for a workflow tool it does not use.

The first two reasons do not go away with a cheaper table tool. Freckle, Bitscale and Persana use credits and need someone to build the tables too. Fix ownership first, or pick a tool that needs no build.

Which alternative fits which reason?

Your reason for leavingTest firstWhy
Clay costs too much for a simple waterfallFreckle or PersanaLower entry price for a table with waterfall enrichment
You use HubSpot and want sync below Clay’s Growth priceBitscaleTwo-way HubSpot integration and HTTP API on its Growth plan
No one will build or maintain workflowsApolloOne database with sequences and a dialer; nothing to build. See our Clay vs Apollo comparison
Your AI workflows reach past sales data (support, content, ops)Gumloop or n8nGeneral workflow builders that call AI models and any API
You have an engineer and want the data in your own systemsPeople Data Labs plus n8nRaw records by API, with orchestration you control
You only want a second opinion on a few hundred rowsA free plan from the table aboveEnough to test coverage before you commit

When should you stay on Clay?

Someone already owns working tables. Rebuilding a table that books meetings costs weeks. Count the tables, waterfalls and CRM syncs you would rebuild, and put a number of hours on each.

You need many providers in one place. Clay’s marketplace has 150+ providers. The table tools here have fewer, and n8n or Gumloop make you connect each provider yourself.

Your cost is stable. If last quarter’s bill matched the plan, the unpredictability problem does not apply to you. Set credit budgets and rerun rules before you switch tools to fix a problem a setting can fix.

What does switching look like for a team with one GTM engineer?

Illustrative, not a benchmark. The company is fictional.

Brightwell Freight sells routing software to US carriers. Its one GTM engineer runs three Clay tables: new inbound leads enriched before routing, a weekly list of carriers posting dispatcher jobs, and AI research on each list account. The bill varies month to month because the job-post table reruns on every new row.

TableOption Brightwell testsWhy
Inbound enrichmentKeep on Clay, with a credit budgetIt works, and it feeds lead routing
Weekly job-post listn8n self-hosted, calling a job data APIRuns once a week on a schedule; the engineer can host it
AI account researchFreckle BuildA cheaper table for AI research columns

After a month, Brightwell keeps Clay for inbound enrichment, moves the weekly list to n8n and drops the Freckle test because the research quality was the same and the saving was small. Running the three tables side by side for a month gave it the answer.

Where Growigami fits

We do not resell any of these tools. Our automations service builds and monitors the connections between your tools, on Zapier, Make, n8n or your CRM’s own workflows, so a table or workflow does not stop working when the person who built it moves on. If you are deciding whether to hire for this work, our guide to what a GTM engineer does covers the role and when to outsource it, and our growth engineering page shows how we approach it.

Frequently asked

Who are Clay's biggest competitors?

Spreadsheet-style enrichment tools such as Freckle, Bitscale and Persana compete with Clay head on. Apollo competes for teams that want one database with sequences. General automation tools such as n8n, Make and Gumloop compete for the workflow part, and data APIs such as People Data Labs compete for teams with an engineer.

What is the cheapest alternative to Clay?

On list price, n8n's self-hosted Community Edition, which you run on your own server, and Gumloop's Pro plan from $37 a month. Neither includes contact data, so you pay data providers separately. Among enrichment tables, Persana Starter was $68 a month billed annually and Freckle's Build plan started at $99 a month on their pricing pages in October 2026.

Is there a free alternative to Clay?

Several tools have free plans: Freckle (250 credits), Bitscale (200 credits), Persana (50 credits), Apollo (900 credits per seat per year) and People Data Labs (100 credits a month, with contact fields hidden). Clay itself has a free plan with 500 actions and 100 data credits a month. Free tiers are enough to test coverage; a weekly outbound program needs a paid plan.

Is there an open-source alternative to Clay?

Not a like-for-like one. n8n publishes a self-hosted Community Edition on GitHub, and teams use it to call data provider APIs and AI models in a workflow. You build the table logic, waterfall order and error handling yourself, so it suits a team with an engineer.

Why do teams leave Clay?

The reasons in published reviews and comparisons repeat: costs that are hard to predict across two meters (actions and data credits), a learning curve that burns credits on misconfigured tables, and no one on the team to own the workflows. Clay's own FAQ says each run with your own API key still counts as one action.

Is Apollo a Clay alternative?

For one kind of team. Apollo is a single contact database with sequences and a dialer, while Clay queries 150+ providers and runs AI research per row. A small team that wants to send this week can replace Clay with Apollo. A team whose outbound depends on custom research cannot. Our Clay vs Apollo comparison covers that choice in full.

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