Go-to-market data platform with Claygents — AI research agents that enrich CRM data from 150+ providers and trigger personalised outbound at scale.
Go-to-market data platform with Claygents — AI research agents that enrich CRM data from 150+ providers and trigger personalised outbound at scale.
Clay is the fastest-growing go-to-market data platform in B2B, used by revenue teams at OpenAI, Anthropic, Ramp, Notion, Verkada, and thousands of other companies. The interface is a familiar spreadsheet, but every column can pull from 150+ data sources (Apollo, ZoomInfo, LinkedIn, People Data Labs, Crunchbase, Semrush, Hunter, and dozens more), enrich rows with waterfall logic across providers to maximize match rates, run AI research prompts against each row using Claude or GPT to synthesize a personalized angle, and push results into Salesforce, HubSpot, Outreach, Salesloft, Instantly, Smartlead, Apollo Sequences, or Slack. Its 'AI Research Agent' Claygent can browse the open web, fetch pages, and summarize findings per-row, so an SDR can generate a hundred hyper-personal cold emails in minutes rather than hours. Clay pricing is credit-based: Free (100 credits), Starter ($134/mo), Explorer ($314/mo), Pro ($720/mo), and Enterprise, with credits consumed per enrichment and per AI call. Because Clay is fundamentally a workflow engine over data, it's also becoming a favorite backend for agent-based GTM tools: agents build workflows in Clay and Clay executes them at scale.
Clay is the most powerful data enrichment and outbound automation platform available, with 150+ data providers accessible through a spreadsheet-like interface. The AI-powered waterfall enrichment finds data that no single provider can match. The learning curve is steep and credit costs can escalate, but for revenue teams serious about data-driven outbound, Clay delivers unmatched depth and flexibility.
Natural-language AI agent that browses the public web on demand to answer custom research questions per row — extracting pricing pages, summarizing posts, checking hiring status, identifying tech stacks — and writes structured results back into the table.
Chains 150+ data providers (Apollo, ZoomInfo, Hunter, Clearbit, BuiltWith, Datagma, and many more) in a configurable fallback order, charging credits only for the provider that returns a valid result. Materially improves email, mobile, and firmographic match rates compared to single-vendor approaches.
Visual builder for chaining enrichment, AI, conditional logic, and destination steps into reusable end-to-end workflows that can be triggered by webhooks, schedules, CRM events, or signal changes.
Buying-intent layer that monitors job changes, funding announcements, hiring trends, and technology adoption, then triggers Clay workflows or alerts when target accounts match defined ICP criteria.
Build dynamic, enriched audiences and sync them directly to LinkedIn, Meta, and Google Ads for coordinated ABM campaigns, with automatic refresh as new accounts qualify or disqualify.
Native, two-way integration with Salesforce and HubSpot to push enriched data, scores, and AI-generated fields back into the CRM, and to trigger Clay runs based on CRM events.
Built-in cold email sequencer for teams that want to send personalized outbound directly from Clay using AI-generated copy grounded in enriched data, without a separate engagement tool.
See clay.com/pricing
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View Pricing Options →Clay works with these platforms and services:
We believe in transparent reviews. Here's what Clay doesn't handle well:
Through late 2025 and into 2026, Clay has heavily invested in Claygent, expanding it from a single-prompt research tool into a multi-step agent capable of chained reasoning across pages and structured-output schemas. Sculptor was introduced as a dedicated workflow builder, and Signals added buying-intent triggers that can automatically fire Clay workflows when ICP-matching events occur.
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AI BDR called Ava that finds leads, enriches records and books meetings.
Pricing and features change often. If anything on this Clay page is wrong or missing, tell us and include a link to the source. We review every correction.