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CRM · head to head

Clay vs Level AI

Clay logo

Clay

CRM

Data platform for sales teams

From
Free
Free plan
Yes
Full reviewWebsite
Level AI logo

Level AI

Customer Support

AI quality assurance and agent assist for mid-market and enterprise contact centres

From
On request
Free plan
No
Full reviewWebsite

The short version

  • Only Clay has a free tier, so it costs nothing to try first.
  • Each has a real cost: Clay two separate meters run at once, actions and data credits, and a plan can exhaust either independently; Level AI pricing combines a per-agent fee, a platform licence and usage-based components, so the number quoted per agent is not the number you pay and budgets set from a per-seat figure alone come in short.
  • They diverge on capability: Clay covers Data enrichment, Level AI covers Automated QA scoring.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Clay and Level AI actually diverge.

Attributes where Clay and Level AI differ
AttributeClayLevel AI
Starting priceFreeOn request
Pricing modelsubscriptionquote
Free tierYesNo
CategoryCRMCustomer Support
Founded2021Unknown

Identical on both: platforms (Web), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Clay

  • Data enrichment
  • Contact management
  • Workflow automation
  • Integration
  • API access
  • Salesforce
  • HubSpot
  • Zapier

Only in Level AI

  • Automated QA scoring
  • Semantic intent search
  • Agent assist
  • Coaching workflows
  • Custom scorecards
  • Voice of customer analytics
  • Dispute and calibration
  • CCaaS integrations

What people use each for

The jobs each tool is most often brought in to do.

Clay

  • Data enrichment and intelligencenot Level AI
  • Growth campaign automationnot Level AI
  • CRM workflow integrationnot Level AI

Level AI

  • A 400-seat support organisation reviewing 2 per cent of calls manually and wanting compliance coverage across the whole volume without adding QA headcountnot Clay
  • A regulated financial services contact centre that must evidence disclosure wording on every recorded call rather than on a samplenot Clay
  • A support operation onboarding a new outsourced site and needing week-one visibility into how the vendor agents actually handle contactsnot Clay
  • A CX team trying to work out why average handle time rose 20 per cent by clustering contact drivers across a quarter of interactionsnot Clay

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Clay

  • Two separate meters run at once, actions and data credits, and a plan can exhaust either independently
  • Data credit overage is sold at a 30% premium over the plan rate, so exceeding the allowance costs more per unit than planning for it
  • The free plan allows 500 actions, 100 data credits and 200 rows per table
  • The entry paid plan starts at $167 a month, and both paid prices are starting figures rather than fixed
  • The free plan cannot buy overage at all, so hitting the limit stops work rather than billing for it

Level AI

  • Pricing combines a per-agent fee, a platform licence and usage-based components, so the number quoted per agent is not the number you pay and budgets set from a per-seat figure alone come in short.
  • Integration to each contact centre or CRM system is charged as a separate implementation fee, which means a team running voice on one platform and chat on another pays twice before a single interaction is scored.
  • The unit economics do not work below roughly a hundred agents; smaller teams get quoted enterprise minimums that cost more than the QA analyst they were trying to avoid hiring.
  • Automated scores are only as good as the scorecard behind them, and the calibration work to get semantic questions scoring consistently falls on your QA team over several weeks before anyone trusts the output.
  • Transcription and semantic accuracy degrade on heavily accented speech, poor telephony audio and languages outside the main supported set, so multilingual operations often end up running manual QA in parallel for some queues anyway.

Pricing, plan by plan

Clay

Free
  • FreeFree
    • 500 actions per month
    • 100 data credits per month
    • Unlimited seats
  • Launch$167/month
    • 15000 actions per month
    • 3000 data credits per month
    • Phone enrichment
  • Growth$446/month
    • 40000 actions per month
    • 6000 data credits per month
    • CRM sync
  • Enterprise$null/custom
    • Unlimited capabilities across most features
    • SSO
    • Role-based access control

Level AI

On request
  • Level AI$undefined/year
    • Automated QA on all interactions
    • Custom scorecards
    • Semantic search

Which should you pick?

Choose Clay if

  • You need data enrichment.
  • You want to start without paying.
  • You also want contact management.
Clay review

Choose Level AI if

  • You need automated qa scoring.
  • You also want semantic intent search.
Level AI review

Questions people ask

Is Clay or Level AI better?
Neither clearly leads. Clay starts at Free and Level AI at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Clay or Level AI?
Clay has a free tier; the other does not. Paid plans start at Free for Clay and On request for Level AI.
Does Clay or Level AI run on more platforms?
Both run on Web, so platform support will not decide this one for you.
Can I use Clay for free?
Yes. Clay has a free tier, so you can try it without paying. Level AI starts at On request.
What is Clay best used for?
Clay is most often used for data enrichment and intelligence, growth campaign automation, crm workflow integration. Of those, data enrichment and intelligence and growth campaign automation are not what Level AI is typically brought in for.
What can Clay do that Level AI cannot?
Clay covers Data enrichment, Contact management, Workflow automation, Integration. Level AI covers Automated QA scoring, Semantic intent search, Agent assist, Coaching workflows.

Answered from the vendors’ own pages

Clay: Can I use Clay for free?

Yes, Clay's free plan includes 500 actions and 100 data credits per month with unlimited seats and tables (200 rows max per table).

Source
Level AI: Does Level AI publish pricing?

No. Quotes are built per deployment from agent count, channel mix and product modules, and integration fees are added on top.

Clay: How much can I save with Clay's annual billing?

Clay offers significant annual discounts: Launch tier drops from $167/month to $54/month, and Growth tier drops from $446/month to $185/month when billed yearly.

Source
Level AI: Can it replace our QA analysts?

It replaces the sampling and scoring work, not the judgement. Teams typically keep analysts for calibration, disputes and coaching design.

Clay: What happens when I exceed my monthly actions or data credits on Clay?

Actions and data credits cost less than $0.01 each when purchased at scale, with unused data credits rolling over up to 2x monthly allocation on paid plans. Customers can bring their own API keys to avoid data credit costs.

Source
Level AI: Does it work without a cloud contact centre platform?

It needs recordings and metadata from somewhere. If your telephony does not expose those through an integration or API, this is not a fit.

Clay: Does the Growth plan limit the number of users or team members?

No, Clay's Growth plan supports unlimited seats with 40000 monthly actions, 6000 data credits, and CRM sync, designed for teams with CRM-based workflows and growth campaigns.

Source
Level AI: How long does implementation take?

Expect weeks, not days. Connecting systems is quick; getting scorecards calibrated to the point where team leaders act on the scores takes longer.

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