BestAIAgents.app

Clay (Claygent)

#1 Sales

by Clay Labs · Best overall sales agent platform

Clay combines 100+ data enrichment providers with Claygent, an AI research agent that visits websites and answers questions about any prospect at spreadsheet scale. Go-to-market teams use it to build, enrich, and personalize outbound lists automatically. After a March 2026 repricing, paid plans start at $167/month (Launch tier), with a free tier covering 500 actions and 100 data credits a month.

Visit Clay (Claygent)Reviewed by Michael Okeje · Last verified July 20, 2026

Pricing

$167/mo

Dual-credit subscription tiers (data credits + actions)

Free tier: Yes · Open source: No

Strengths

  • + Unmatched data coverage via provider waterfalls
  • + Claygent automates manual prospect research
  • + Deep CRM and sequencer integrations

Limitations

  • Credit costs climb fast at volume
  • Learning curve: it's a power tool

Best for

GTM engineersOutbound agenciesRevOps teams

How Clay (Claygent) works

Clay is less a single agent than a go-to-market data platform with an agent at its center. It connects 100+ data enrichment providers behind a spreadsheet-like interface, and waterfalls between them so that if one provider lacks an email or a firmographic, the next is tried automatically. On top of that sits Claygent, an AI research agent that visits websites and answers free-text questions about any prospect — 'does this company use Salesforce?', 'who leads their data team?' — at spreadsheet scale.

That combination is why GTM engineers and RevOps teams treat Clay as core infrastructure. You can build a list, enrich every row across dozens of sources, run Claygent to research each account, and push the personalized result straight into your CRM or sequencer. Deep integrations mean Clay sits in the middle of an outbound stack rather than bolting on at the edge.

After a March 2026 repricing, paid plans start at $167/month (the Launch tier), with a free tier that covers 500 actions and 100 data credits a month so you can prove out a workflow first. The honest caveats: it is a power tool with a real learning curve, and the dual-credit model (data credits plus actions) means costs climb quickly at volume. For teams that invest the time, nothing else matches its data coverage.

What people use Clay (Claygent) for

Automated prospect research

Point Claygent at a list and have it answer custom research questions about every account, replacing hours of manual digging.

Waterfall data enrichment

Fill in emails, firmographics, and signals by cascading across 100+ providers so coverage is far higher than any single source.

Personalized outbound at scale

Build, enrich, and personalize lists, then push the results straight into your CRM or sequencer for outreach.

Clay (Claygent) pricing in context

At $167/mo, Clay (Claygent) starts 33% below the $250/month median entry price for sales agents in this index. See the full AI agent pricing data for category medians and the verified pricing-change log.

Alternatives to Clay (Claygent)

Other sales agents in the index, ranked.

  1. 2.Ava by Artisan$250/mo (billed annually)
  2. 3.Alice by 11xCustom (≈$2,000+/mo)
  3. 4.AiSDR$900/mo (billed quarterly)
  4. 5.Piper the AI SDRCustom (≈$42K+/yr reported)
  5. 6.Starnus€50/mo (~$55)

Clay (Claygent) FAQ

Is Clay free?

Clay has a free tier covering 500 actions and 100 data credits a month, enough to test a workflow. After a March 2026 repricing, paid plans start at $167/month (Launch tier), scaling up by credit and action volume.

What is Claygent?

Claygent is Clay's built-in AI research agent. It visits websites and answers free-text questions about a prospect or company at spreadsheet scale, automating the kind of manual research a sales rep would otherwise do by hand.

Who is Clay for?

Primarily GTM engineers, outbound agencies, and RevOps teams. It is a power tool that rewards technical comfort, sitting at the center of an outbound stack rather than being a simple plug-and-play SDR.

Why does Clay get expensive?

It uses a dual-credit model — data credits for enrichment plus actions for operations — so heavy enrichment and research at volume consume credits fast. Costs are very usage-dependent, which is why many teams start on the free tier.