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Clay vs Gojiberry AI

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Cheaper paid plan
Gojiberry AI — $99/mo vs $167/mo for Clay
Free plan
Only Clay (Gojiberry AI has paid plans only)
Public API
Both have one
Higher Trust score
Clay — 94 vs 64 for Gojiberry AI
Best fit
Clay: Outbound teams that need firmographic, contact and intent data from several vendors in one list · Gojiberry AI: B2B sales teams that want signal-based prospecting instead of cold lists

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

Side by side

FactClayGojiberry AI
CategorySales Intelligence & EnrichmentAI SDRs & Sales Agents
Pricing modelFreemiumPaid
Starts at$167/mo$99/mo
Public APIYesYes
Trust score94 / 10064 / 100
PlatformsWeb, APIWeb, API
CompanyClay Labs Inc.—
Launched2017—
Last verifiedSep 6, 2026Sep 1, 2026

What our research says

Clay

Clay is the tool to reach for when a prospect list needs more than one data vendor and some judgement per row - the waterfall enrichment and the research agent do in one table what used to take three subscriptions and a VA. It is not a cheap or simple tool: the useful plan starts at a few hundred dollars a month, credits are spent per column per row, and CRM sync and webhooks only arrive on the $446 tier. A one-person outbound effort can live on the free plan; a team that already runs sequences will want Growth and a budget for overages.

Pros

  • Waterfall enrichment tries many providers per field, so coverage is higher than any one vendor
  • Claygent runs open web research per row with a prompt, not just database lookups
  • Free plan has unlimited seats and tables, so a team can trial it without buying seats
  • Large integration and template ecosystem, and the company is well funded

Cons

  • Launch at $167 a month still lacks CRM integrations, HTTP API and webhooks - those start at $446
  • Actions and data credits are two separate meters, and the pricing page itself shows two different credit figures for Launch
  • The spreadsheet metaphor hides real complexity; building a reliable table takes learning time
  • Overage billing makes the monthly bill hard to forecast

Gojiberry AI

Gojiberry replaces the manual prospecting a junior SDR would do, watching signals, enriching contacts, drafting outreach, and reports meaningfully more replies than cold lists in a third-party review. It works best for a team that already has a clear ideal customer profile to filter against, since the signal volume is only useful once it's targeted.

Pros

  • Tracks 30+ buying signals including funding rounds and job changes
  • Email waterfall enrichment across 15+ data providers
  • Direct HubSpot and Pipedrive CRM integration

Cons

  • Entry plan caps LinkedIn sending at 2 sender accounts
  • No public company or location information found; direct site access was blocked during research

Which one fits

Choose Clay if you need

  • Outbound teams that need firmographic, contact and intent data from several vendors in one list
  • GTM engineers automating research and personalisation per account with prompts and agents
  • RevOps groups wiring job-change and funding signals into their CRM

Choose Gojiberry AI if you need

  • B2B sales teams that want signal-based prospecting instead of cold lists
  • Teams already running HubSpot or Pipedrive who want enrichment plumbed straight in
  • Founders doing their own outbound who want LinkedIn messages drafted for them

Clay vs Gojiberry AI: the questions people ask

Is Clay cheaper than Gojiberry AI?

On published entry prices, Gojiberry AI starts lower — $99/mo against $167/mo for Clay. Entry price is the lowest paid plan as we last verified it; what each plan includes differs.

Does Clay or Gojiberry AI have a free tier?

Clay has a free tier; Gojiberry AI has paid plans only.

Which has a public API, Clay or Gojiberry AI?

Both ship a public API, so either can be built on; the fact table above shows the platforms each one runs on.

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