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Clay
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Sales Tools (113)

Clay Verified Tool

Clay is a go-to-market data and orchestration platform combining enrichment, intent signals, research agents, workflows, AI formatting, CRM operations, advertising and outbound execution. Teams should use lawfully sourced data, honor consent and opt-outs, restrict agent and CRM permissions, verify enrichment and personalization, control spending and sending, monitor deliverability and retain accountable human sales ownership.

Last Update: August 20, 2026

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Starting price Free trial + from $167/mo

Tool Information

Clay is a go-to-market data and orchestration platform combining enrichment, intent signals, research agents, workflows, AI formatting, CRM operations, advertising and outbound execution. Teams should use lawfully sourced data, honor consent and opt-outs, restrict agent and CRM permissions, verify enrichment and personalization, control spending and sending, monitor deliverability and retain accountable human sales ownership.

Use authorized, minimal inputs and grant integrations the least access required. Configure privacy, retention, sharing, quality, accessibility, disclosure, export, governance, moderation and spending controls. Test representative cases, verify generated facts, calculations, citations, customer messages, code, trades and financial details, preserve originals and version history, and retain accountable human approval before publication, outreach, deployment or operational action.

A free trial is available and paid self-service access starts from approximately $167 per month on the reviewed pricing page. Credits, data providers, enrichments, agents, workflows, users, subscription period, renewal and taxes vary.

AI output can be inaccurate, biased, derivative, insecure, incomplete or misleading. Review consent, copyright, financial risk, training and retention terms, renewals, refunds, platform rules and applicable law. Medical, education, finance, investment, compliance, marketing, travel and customer-facing workflows require qualified human review.

F.A.Q (4)

Clay is a go-to-market data and orchestration platform combining enrichment, intent signals, research agents, workflows, AI formatting, CRM operations, advertising and outbound execution. Teams should use lawfully sourced data, honor consent and opt-outs, restrict agent and CRM permissions, verify enrichment and personalization, control spending and sending, monitor deliverability and retain accountable human sales ownership.

Use authorized, minimal inputs and grant integrations the least access required. Configure privacy, retention, sharing, quality, accessibility, disclosure, export, governance, moderation and spending controls. Test representative cases, verify generated facts, calculations, citations, customer messages, code, trades and financial details, preserve originals and version history, and retain accountable human approval before publication, outreach, deployment or operational action.

Verified pricing: Free trial + from $167/mo. A free trial is available and paid self-service access starts from approximately $167 per month on the reviewed pricing page. Credits, data providers, enrichments, agents, workflows, users, subscription period, renewal and taxes vary.

Yes. An official affiliate, partner, or referral program was verified.

Pros and Cons

Pros

  • Combines prospecting; enrichment; research; and outreach workflows in one workspace
  • Offers waterfalls that query multiple data providers in sequence
  • Connects to more than 150 enrichment providers
  • Includes Claygent for AI-assisted web research
  • Provides Sculptor as an AI copilot for building and editing workflows
  • Supports bring-your-own API keys on eligible plans
  • Lets teams import data and organize it in spreadsheet-like tables
  • Can enrich records with job changes; company news; and social signals
  • Supports recurring enrichment runs
  • Connects with CRMs and data warehouses on higher plans
  • Provides HTTP API and webhook capabilities on the Growth plan
  • Can sync audiences to advertising platforms
  • Includes email sequencing capabilities
  • Free plan allows unlimited seats and tables
  • Free plan includes 500 actions and 100 data credits per month
  • Launch and Growth plans support up to 50;000 rows per table
  • Enterprise plan adds SSO and role-based access controls
  • Publishes ISO 27001 and ISO 42001 certification badges

Cons

  • Its separate action and data-credit meters make costs harder to predict
  • The pricing page and its FAQ display inconsistent starting prices and credit allowances
  • Launch and Growth plans start at relatively high monthly prices
  • Data-credit top-ups can carry a 30 percent premium
  • Complex enrichment waterfalls require careful configuration and testing
  • Bad source data can propagate through an entire automated campaign
  • Provider coverage and accuracy vary by country; industry; and contact type
  • AI web research can hallucinate or misinterpret ambiguous pages
  • Email and phone enrichment can return stale or incorrect information
  • Automated outreach still requires compliance with anti-spam; privacy; and do-not-call rules
  • Processing professional contact data creates privacy and data-broker compliance obligations
  • CRM writebacks can overwrite good records when mappings are wrong
  • Bring-your-own API keys add separate vendor costs and credential-management risk
  • Many integrations increase the number of subprocessors handling customer data
  • Unlimited seats do not mean unlimited enrichment usage
  • The free plan is capped at 200 rows per table
  • Enterprise security; bulk limits; and pricing require a sales conversation
  • Recurring jobs can consume credits unexpectedly if monitoring is weak
  • Users must verify enrichment before relying on it for consequential decisions
  • Deliverability depends on list hygiene; sending configuration; and mailbox reputation
  • Clay's breadth creates a significant learning curve for simple use cases
  • Source websites can change or block automated research
  • Its sales-prospecting focus may be unsuitable for organizations with strict data-minimization policies

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