Clay Alternatives
Compare Clay alternatives by AI research, enrichment, CRM handoff, and total cost. Use the same workload to decide which tool can replace your stack.

Clay alternatives start at $29 a month, but that price replaces only contact enrichment; replacing Clay's AI research, refresh logic, and CRM handoff is a different bill. SyncGTM is the closest documented full-workflow substitute, while Freckle simplifies the builder, Exa Websets wins on web research, FullEnrich and Apollo replace narrower data layers, and Gumloop replaces orchestration only if you bring the data.
This is a software comparison of Clay.com, not a guide to sculpting materials. Every price and product capability below was verified against live first-party pages on September 25, 2026. No vendor account was available, so these are documented cost models, not tested recommendations.
Clay Alternatives at a Glance
The best all-round replacement is SyncGTM, because it documents AI research, enrichment, recurring imports, and CRM integration inside one credit model. The other five are better when you want to replace one expensive layer without rebuilding the rest of your stack.
Clay Com Alternatives Should Replace a Layer, Not a Logo
Clay com alternatives become easier to compare when you stop asking which logo looks most like Clay and start asking which paid layer you need to remove. Clay combines several jobs that are billed differently, so a $29 contact-data tool and a $449 research product are not cheaper versions of the same thing.
The decision turns on six separate scores:
- Research columns: Can the tool answer an open-ended question from the web and return a source?
- Contact enrichment: Can it find and verify a work email or phone number, preferably across multiple providers?
- Recurring triggers: Can it rerun work when time passes or a signal changes?
- CRM writeback: Can it map finished fields into the CRM without another paid automation layer?
- Exports: Can you move the data out through CSV or API without trapping the workflow?
- Operating effort: How much ongoing ownership does the workflow need after launch?
That last score is easy to underprice. A general automation builder may cost $37 a month, then require a separate data provider, model usage, connector monitoring, and someone who notices when a source changes. A purpose-built GTM platform may charge more but collapse those dependencies into one bill and one failure surface.
This comparison therefore uses strong, partial, and not supported for each workflow layer. Operating effort uses low, medium, or high. Those labels are editorial judgments from documented capabilities, not invented implementation hours.
The Same-Workload Cost Model
The cost model starts with a reusable 100-row sample built from the SEC's public company-ticker dataset. It retains 100 ticker-sorted registrants after removing obvious funds, trusts, ETFs, acquisition vehicles, warrants, rights, and duplicate CIKs. The input has only a sample ID, CIK, ticker, and company name, so the product must do the research rather than inherit finished answers.
Each row asks for the same five outputs and one handoff:
- Find the current senior sales leader and return a source URL.
- Find the latest dated hiring, product, or funding signal on an official company source.
- Find one verified work email for that person.
- Refresh both research fields once during the billing month.
- Write the finished record to a CRM.
That is four research outputs, up to one paid contact-data result, and one CRM handoff per row. At 1,000 rows, the job creates 6,000 candidate operations and up to 5,000 paid data outcomes. At 10,000 rows, it creates 60,000 operations and up to 50,000 outcomes. Vendors that charge only when an email is found may consume less than the maximum.
Clay's 1,000-row baseline must use Growth because native CRM auto-sync is not on Launch. The live Clay pricing page lists Growth at $495 month-to-month with 40,000 Actions and 6,000 Data Credits. Six thousand candidate operations fit comfortably, but the data allowance fits the five-output model only if the selected email provider and four AI outputs average no more than 1.2 Data Credits each.
At 10,000 rows, the public Clay configurator lists a 60,000-Action Growth component at $290 a month and a 50,000-Data-Credit component at $2,125. That totals $2,415 before any research task costs more than one Data Credit. Clay also offers variable token-priced models, so this is a conditional configuration, not a guaranteed invoice.
Subscription and usage are only half the worksheet. Seat count, external data subscriptions, AI tokens, top-ups, action tiers, and connector ownership stay separate. Setup and maintenance time remains not measured for all six options because no account was available. An honest blank is more useful than a made-up two-hour setup estimate.

1. SyncGTM: Best Full-Workflow Replacement
SyncGTM is the closest documented substitute for the complete Clay workflow: research, contact enrichment, scheduled imports, and CRM handoff. Its pricing page puts AI research-agent results and verified work emails in the same credit pool at one credit each, which makes the normalized workload unusually easy to model.

A B2B SaaS growth lead running 1,000 accounts a month needs at most 5,000 credits for the four research outputs and one successful email per row. The $249 Pro plan includes 8,000 monthly credits and 20 team members, leaving 3,000 credits for retries, another signal, or phone enrichment. At 10,000 rows, the maximum reaches 50,000 credits. Business includes 25,000 for $649, and another 25,000 at the published $0.05 top-up rate brings the modeled bill to $1,899. A custom Enterprise quote may beat that top-up-heavy total.
The operational advantage is feature placement. SyncGTM lists scheduled imports, HTTP actions, webhook-sourced imports, sequencer integrations, and two-way HubSpot and Salesforce integration on its paid plans. That means CRM writeback is part of the platform choice instead of a separate Zapier or Make decision.
Best for: A GTM team that wants one replacement for the largest number of Clay layers.
Standout: One-credit AI research results and one-credit verified emails in a shared pool.
Pricing: $49 Solo, $99 Growth, $249 Pro, or $649 Business per month; modeled at $249 for 1,000 rows and $1,899 for 10,000.
Free trial: Free start is offered, but the public pricing page does not state the allowance.
Workflow score: Research strong | Contact enrichment strong | Recurring triggers strong | CRM writeback strong | Exports strong | Operating effort medium
- The full normalized workflow is supported in one documented product surface.
- Credit math is legible before a run, including a published top-up rate.
- CRM integration and scheduling are not held behind a separate enterprise tier.
- A 50,000-credit month becomes expensive without an Enterprise volume quote.
- This run did not verify output quality, match rate, or connector behavior inside an account.
- Phone enrichment costs 12 credits, so adding mobiles changes the worksheet sharply.
Import the fixed sample
Load the same company identifiers into a SyncGTM table. Keep the input columns frozen so every future trial starts from identical rows.
Add two research outputs
Create one Sync AI Agent result for the current senior sales leader and another for the latest official company signal. Require a source URL in each output.
Add contact data
Run the verified work-email enrichment only after the target person exists. That keeps the one-credit contact lookup attached to a named person rather than a vague company row.
Schedule one refresh
Use a scheduled import to rerun the two research outputs once in the month. Do not refresh the email unless the person's identity changes.
Map and audit the CRM handoff
Map the research fields, source URLs, and email to HubSpot or Salesforce. Export the credit dashboard after the run so the next forecast uses observed consumption rather than the five-credit ceiling.
2. Freckle: Best Simpler Clay-Style Builder
Freckle is the best fit when Clay's table builder feels heavier than the job. It documents AI columns, agent columns, web search, waterfall enrichment, signal monitoring, webhooks, HTTP API access, CRM connections, and unlimited users, rows, tables, and columns on its paid Build plan.

The billing philosophy is cleaner than an action meter. Freckle says credits buy marketplace-provider data, while actions, routing, and CRM syncs are not separately charged. That removes a class of surprise when a workflow has many conditional steps or writes the same finished record to more than one destination.
The unresolved issue is the AI research rate. The live pricing slider publishes exact Build tiers, including $259 a month for 5,000 credits and $1,119 for 40,000, but the public page does not publish one universal credit weight for an arbitrary AI research column. A one-credit-per-output scenario puts the 1,000-row job on the $259 tier. At 10,000 rows, the same assumption needs 50,000 credits: the 40,000-credit plan plus a 10,000-credit top-up at 1.25 times the plan rate works out to about $1,469. Those are conditional scenarios, not Freckle quotes for this workflow.
For a three-person RevOps team, this is still a meaningful advantage. Unlimited seats avoid the per-user multiplication that makes database platforms expensive, and output-based billing avoids paying again just because a record took several routing steps. The trade is that the exact bill must be confirmed inside the product with the two selected research columns and email provider.
Best for: Teams that want a lighter Clay-style table with CRM integration and fewer platform meters.
Standout: No separate charge for actions, CRM syncs, or routing.
Pricing: Build starts at $99 monthly for 1,000 credits; $259 buys 5,000 and $1,119 buys 40,000. Annual billing is 15% lower.
Free trial: A free plan includes 250 credits.
Workflow score: Research strong | Contact enrichment strong | Recurring triggers strong | CRM writeback strong | Exports strong | Operating effort low to medium
- Unlimited users and rows keep collaboration from changing the subscription.
- AI research, web search, enrichment, signals, and CRM tools live in one table model.
- Credits roll over up to twice the monthly plan limit.
- Public documentation does not expose a universal AI-column credit rate.
- Top-ups cost 1.25 times the plan's per-credit rate.
- The public page lists 40+ data providers; switching teams still need to check whether every provider in their current Clay workflow is present.
3. Exa Websets: Best for AI-Native Web Research
Exa Websets is the strongest option when the hard part is finding obscure companies or generating sourced custom fields from the public web. A Webset accepts a natural-language population, verifies matches with AI, adds prompt-driven enrichment columns, and exports the result through CSV or API.

Its billing page is unusually specific. A resolved imported row costs 2 credits, an ordinary enrichment costs 2, and an email costs 5. For the normalized imported-list job, one row therefore costs 15 credits: 2 for import, 8 for four research outputs across the initial run and refresh, and 5 for the email. One thousand rows use 15,000 credits, which fits the $449 Pro plan's 100,000-credit allowance. Ten thousand rows use 150,000 credits, above the public Pro allowance, so that case needs an Enterprise quote.
The product wall is the handoff. Exa documents CSV export and API connections into a CRM or sequencing stack, but that is not the same as a native field-mapped CRM sync with lifecycle rules. The operator still owns the integration. Its monitor can find new matching items over time, but the public page does not promise a Clay-style conditional refresh of existing CRM rows.
That makes Exa excellent for a market-mapping analyst searching for public-company signals across the web and less complete for a RevOps owner who wants the result to keep Salesforce clean without middleware. Buy it for research quality, not because its $49 Starter card looks cheaper than Clay.
Best for: Sourced web research, market maps, and hard-to-define company populations.
Standout: Natural-language search plus AI-verified custom enrichment columns.
Pricing: $49 Starter with 8,000 credits or $449 Pro with 100,000; the normalized 1,000-row job requires Pro.
Free trial: The Pro plan offers a trial; the public page does not state its duration.
Workflow score: Research strong | Contact enrichment partial | Recurring triggers partial | CRM writeback partial | Exports strong | Operating effort medium
- Credit charges are published by result and enrichment type.
- Pro allows up to 10,000 imported rows and 50 enrichment columns per Webset.
- The public-web research layer is the product, not an add-on to a contact database.
- Native CRM writeback is not documented; API integration remains your job.
- A 10,000-row normalized month exceeds the public Pro credit allowance.
- Pro caps each Webset at 1,000 results, so larger jobs need partitioning or import workflows.
4. FullEnrich: Best Contact-Enrichment Layer
FullEnrich is the cleanest choice when the problem is contact data, not AI research. It runs a waterfall across more than 25 sources and charges one credit for a verified work email, three for a personal email, ten for a mobile, and zero when it finds nothing.

The cost boundary is easy to defend. If every row returns a paid work email, 1,000 rows consume 1,000 credits at $55 a month and 10,000 consume 10,000 credits at $499. Missing results reduce the bill. Unlimited users and credit rollover also make it easy to share one pool across an agency or a RevOps team.
What it does not replace is equally important. FullEnrich's documentation covers contact and company data, bulk CSV, API, MCP, and HubSpot. It does not document arbitrary AI research columns for the two sourced questions in this worksheet. Its pricing page also marks enrichment of contacts already inside HubSpot as coming soon, even though pushing contacts and companies is available. Treat the CRM score as partial until the exact direction you need is live.
Use FullEnrich beside a research engine when email or phone coverage is the expensive part of Clay. The narrower FullEnrich vs BetterContact comparison handles that data-only decision without pretending either tool replaces the rest of the orchestration stack.
Best for: Verified work emails and mobile numbers with pay-only-on-success billing.
Standout: Missing results consume zero credits.
Pricing: $29 for 500 credits, $55 for 1,000, $255 for 5,000, or $499 for 10,000 per month.
Free trial: 50 credits with no card.
Workflow score: Research not supported | Contact enrichment strong | Recurring triggers partial | CRM writeback partial | Exports strong | Operating effort low
- Published per-result costs make contact-data budgeting straightforward.
- Unlimited users avoid a seat penalty.
- Monthly credits remain valid for three months and annual credits for twelve.
- It does not replace open-ended AI research columns.
- A second tool must own recurring research and workflow logic.
- Current HubSpot functionality does not yet cover every in-CRM enrichment direction.
5. Apollo: Best Database and Outreach Consolidation
Apollo is the right alternative when the missing layer is a contact database plus outreach, not a programmable research table. Basic costs $49 per seat per month billed annually and includes 30,000 credits per seat per year, AI Research, CRM integrations, CSV/CRM/API enrichment, waterfall enrichment, and two automated workflows.

The credit rules are clear for contact data: one verified email costs one credit and a phone costs eight. The cost of AI Research is not. Apollo's live public pages do not state how many credits one research run uses, which means the same four-research-output workload cannot be priced honestly before a trial. The $49 annual card is a platform floor, not a full-workload total.
Apollo still wins an important buyer case. A solo agency owner who needs to find contacts, enrich them, send sequences, and keep a CRM updated can collapse several subscriptions into one seat. A six-person team sees the opposite effect: per-seat pricing multiplies while Clay, Freckle, FullEnrich, and Gumloop document unlimited users on the relevant plans.
Clay vs Apollo Is a Database-Versus-Engine Decision
Clay vs Apollo becomes straightforward once the database and engine are separated. Apollo starts with its own prospecting database and wraps outreach around it. Clay starts with a programmable table that can call many providers and AI research steps. The full Clay vs Apollo comparison covers that narrower choice in detail.
Best for: Small sales teams that want database, enrichment, sequences, and CRM in one product.
Standout: One workspace can move from prospect search to outreach without a separate sender.
Pricing: $49 Basic or $79 Professional per seat per month, billed annually; Organization is $119 per seat with a three-seat minimum.
Free trial: 14 days on Basic or Professional.
Workflow score: Research partial | Contact enrichment strong | Recurring triggers partial | CRM writeback strong | Exports strong | Operating effort low
- Database, enrichment, CRM, and outreach are bundled.
- Email and phone credit rates are public.
- A free tier and 14-day paid-plan trial make contact-data evaluation possible.
- AI Research consumption is not publicly quantified.
- Per-seat pricing grows with the sales team.
- Basic's two automated workflows are restrictive for a Clay-like system with many recurring branches.
6. Gumloop: Best General Automation Builder
Gumloop is the best choice when the workflow extends far beyond enrichment and someone can own the automation. Pro starts at $37 a month with 20,000 credits, unlimited seats, more than 35 models, and five concurrent workflow runs.

The low subscription is only the first line of the bill. Gumloop defines one credit as $0.005. Every successful tool call costs at least one credit plus any tool-specific charge, active compute costs five credits per session-minute, model calls are converted from their token cost, and the agent loop adds an 8% orchestration fee. An Apollo enrichment call still carries Apollo's data charge.
That makes a pre-run 1,000-row or 10,000-row total impossible without inventing tokens, tool calls, and compute time. The correct budgeting move is to build the 100-row workflow, export its credit log, then multiply the observed per-row distribution. Bring-your-own model keys can remove model credits, but Gumloop raises the orchestration fee from 8% to 16%, and the external model invoice remains.
The payoff is freedom. A growth team can research the company, call a data provider, write to a CRM, notify Slack, generate a brief, and open a task in one general workflow. The wall is maintenance: each connector and prompt is another dependency, and Gumloop does not include the underlying contact database.
Best for: Technical GTM teams building broader automations around their own data and models.
Standout: General agent and workflow orchestration with unlimited seats at the Pro level.
Pricing: $37 a month with 20,000 credits; overage is $0.005 per credit.
Free trial: 14 days, card required, then converts to paid unless cancelled.
Workflow score: Research strong | Contact enrichment external | Recurring triggers strong | CRM writeback connector-dependent | Exports strong | Operating effort high
- The $37 base supports workflows beyond GTM enrichment.
- Unlimited seats avoid a collaboration surcharge.
- Credit logs expose model, tool, compute, and orchestration spend after a run.
- Exact cost is unknowable until a representative workflow runs.
- Contact data and many external tools add separate charges.
- Integration ownership is higher than with a purpose-built GTM platform.
Who Should Pick What
The missing layer decides the winner. Choosing on the cheapest card creates a stack that looks inexpensive until research, data, refreshes, CRM, and upkeep are counted together.

Best Clay Alternatives by the Layer You Need
- Need the closest complete replacement: Pick SyncGTM. Its credit model covers the normalized job most directly.
- Need a simpler Clay-style table: Pick Freckle, then verify the actual AI-column weights before committing.
- Need difficult public-web research: Pick Exa Websets and budget an API or middleware handoff.
- Need verified emails or phones: Pick FullEnrich and keep the research/orchestration layer separate.
- Need a database plus sending: Pick Apollo, especially for one or two sellers.
- Need general automation: Pick Gumloop only when someone owns connectors, prompts, and run-cost logs.
Free Clay Alternatives
Free Clay alternatives are useful for proof, not for the 1,000-row production workload. Freckle offers 250 credits, FullEnrich offers 50 without a card, Apollo has a free tier, and Gumloop and Apollo offer 14-day trials. Exa offers a Pro trial. None of those allowances proves the monthly bill until the exact research prompts and contact lookup run against the fixed sample.
Clay AI Alternatives
Clay AI alternatives divide into purpose-built research and general agents. Exa Websets is the strongest research-first product here. SyncGTM and Freckle combine AI fields with GTM data and CRM flow. Gumloop gives the most general agent canvas but pushes data selection and integration design back to the operator.
Clay Open Source
Clay open source is not a single product in this shortlist. None of the six products evaluated here is an open-source Clay replacement. Building your own stack means every provider contract, retry rule, schema change, and failure alert becomes your responsibility. Choose that path for control or data residency, not because a server bill makes maintenance free.
When Staying With Clay Is Cheaper
Staying with Clay is cheaper when the workflow is already built, several people share it, and replacing it would split one governed system into three subscriptions plus an integration owner. Clay's unlimited seats also protect teams that would otherwise buy one Apollo license per seller.
Clay Growth at $495 month-to-month includes native CRM auto-sync, HTTP integrations, webhooks, 40,000 Actions, and 6,000 Data Credits. SyncGTM Pro is $246 less in the 1,000-row model, but that subscription gap is not automatically a saving. Migration, provider changes, field mapping, validation, and ongoing exception handling all remain unmeasured until a pilot runs.
The operational choice favors Clay in four situations:
- Your tables already encode complex conditional logic that would need rebuilding.
- You use several Clay marketplace providers and would otherwise contract with them separately.
- Many users need the same workspace and a per-seat alternative multiplies quickly.
- The team values one support and governance surface more than the lowest data-unit price.
The Ones to Avoid for This Job
Avoid FullEnrich alone when your reason for leaving Clay is open-ended AI research. It replaces contact enrichment, not the sourced research columns.
Avoid Apollo alone when your competitive advantage comes from custom, multi-source table logic. It is a better database and outreach consolidation play than a programmable research engine.
Avoid Exa Websets alone when native CRM writeback and lifecycle automation are non-negotiable. Its API makes the handoff possible, but possible and owned are different operating models.
Avoid Gumloop without an integration owner. The $37 entry price is attractive, yet model usage, tool charges, data subscriptions, compute, orchestration, and connector maintenance remain separate.
Avoid any option whose sales page gives you a starter card but cannot price your two exact research prompts. The missing number is not a rounding error. At 10,000 rows, it is the budget.
How These Were Picked
The six retained products had to document at least one required job on their own current site: research columns, contact enrichment, recurring execution, CRM handoff, or general orchestration. Every price, allowance, seat count, and billing rule was rechecked on September 25, 2026.
The comparison then applied the same SEC-derived 100-row sample and the same five-output, one-handoff workload to every product. Costs were expanded to 1,000 and 10,000 rows only where the vendor published enough information. Unknown AI weights, token use, match rates, and implementation time stayed unknown.
No product was exercised inside an authenticated account in this run. That is why the recommendations say documented, not tested, and why no match rate or hours-saved claim appears here. The first production move is a controlled 100-row run with saved inputs, outputs, missing fields, source URLs, and run-cost logs.
What can we use instead of clay?
If you mean Clay.com, use SyncGTM for the closest full workflow, Freckle for a simpler Clay-style builder, Exa Websets for research, FullEnrich for contact data, Apollo for database plus outreach, or Gumloop for general automation.
Who are clay's competitors?
Clay's competitors change by layer. The six documented options retained here are SyncGTM, Freckle, Exa Websets, FullEnrich, Apollo, and Gumloop.
What materials are similar to clay?
That question refers to sculpting materials. This page compares Clay.com, the GTM research and enrichment platform.
What are some items similar to clay?
That is the physical-material intent, not the software decision covered here.
What can you use to sculpt instead of clay?
This comparison does not evaluate sculpting materials; it covers alternatives to Clay.com software.
What are the four types of clay?
There is no single universal four-type taxonomy across ceramics and modeling materials. It is outside this Clay.com software comparison.
What are the five types of clay?
That classification depends on the craft context and is outside this software comparison.
Why add vinegar to clay?
That is a ceramics question, not a Clay.com feature, pricing, or workflow question.
What is the strongest type of clay?
Strength depends on the material and curing method. This page covers GTM software rather than sculpting media.
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- Last Updated
- Sep 25, 2026
- Category
- Growth







