"Go to market with unique data—and the ability to act on it"
Typical plan: $460 / month
- 2 reviews
- 4.5
- Monthly users
- 1.2M
- Pricing
- $54 – $2,125 / month
- Platform
- Web App · API
Overview
Clay is a go-to-market (GTM) platform that provides data enrichment from 150+ premium sources, AI research agents like Claygent for web research and content generation, intent signals, and no-code workflow automation to help B2B sales, marketing, and revenue teams streamline prospecting, personalize outreach, and scale operations.
Go to market with unique data—and the ability to act on it
Tool Details
Pricing opens by default; expand other sections for key facts, compliance, specs, and provider info. The main column keeps the quick summary.
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Key Features
Context-aware conversations
Clay remembers previous conversations to provide consistent, context-aware responses. Designed with Web App as the prima
Visual analytics
Drag-and-drop interfaces make it easy to explore data without writing queries. Clay plugs into Clay so data stays in syn
Automation-ready endpoints
Official API docs and clear auth flows—ideal for custom automations. Clay focuses on automation; test it on one repetiti
Tooling for engineering teams
2 SDKs (e.g., Python and JavaScript/TypeScript) help dev teams launch prototypes quickly.
Hands-on demos
Spin up a proof-of-concept quickly to validate fit and adoption.
Reduce manual work
Automation frees time for strategic initiatives while maintaining consistency.
Expert Insight
Dr. William Bobos
Dr. William Bobos has analyzed Clay for Data Analytics, giving it a 4.0/5 rating based on 1 user review. With expertise in AI tools, Dr. William Bobos identifies this tool as especially effective for scientists requiring AI tools functionality.
Pricing & Plans
Pricing: $54 – $2,125 / month(Updated December 2025)
Paid tiers include $1.91/mo, $2.12/mo, and $54/mo. Additional paid tiers are shown up to $880/mo.
Usage Model: API Calls, Pay-as-You-Go — ensuring you only pay for what you actually use.
With subscription pricing from $54 – $2,125 / month, Clay enables scientists to access data analytics features through predictable monthly payments. The subscription includes regular updates and ongoing support, ensuring you always have the latest capabilities. This model works well for scientists building sustainable data analytics workflows.
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About Clay
“Go to market with unique data—and the ability to act on it”
Clay Snapshot
Key facts we track so you can judge fit before visiting the provider.
- Primary category
- Data Analytics
- Best fit
- Scientists, Content Creators, Marketing Professionals +4 more
- Platforms
- Web App, API
- Pricing signal
- Subscription - $54-$2,125 / month
- Provider context
- Clay - US
- Known integrations
- Clay
- Developer access
- API documentation, Python, JavaScript/TypeScript
- Data handling
- Global hosting, Privacy policy linked
Before you choose Clay
- Confirm Clay's current limits, renewal terms, and seat pricing on the official site.
- Review privacy, retention, and data-processing terms before using sensitive data.
- Test the integrations or API path against one real workflow before rollout.
- Make sure the supported platform matches where your team actually works.
Listing data is compiled from structured provider information, public signals, submissions, and periodic checks where available. Treat this page as a shortlist aid, then verify pricing, compliance, and product limits with the provider before making a business-critical decision.
How Clay Works
Understanding the core functionality and approach of Clay.
Clay helps content creators generate ideas, refine messaging, and engage audiences. Chat-based interfaces make AI assistance feel natural and accessible.
Key Features
Explore what makes Clay stand out.
Context-aware conversations
Clay remembers previous conversations to provide consistent, context-aware responses. Designed with Web App as the primary platform.
Visual analytics
Drag-and-drop interfaces make it easy to explore data without writing queries. Clay plugs into Clay so data stays in sync.
Automation-ready endpoints
Official API docs and clear auth flows—ideal for custom automations. Clay focuses on automation; test it on one repetitive workflow before moving critical work into it.
Tooling for engineering teams
2 SDKs (e.g., Python and JavaScript/TypeScript) help dev teams launch prototypes quickly.
Hands-on demos
Spin up a proof-of-concept quickly to validate fit and adoption.
Reduce manual work
Automation frees time for strategic initiatives while maintaining consistency.
Use Cases
Discover how different audiences leverage Clay.
Enhance teaching & learning
Clay adapts to different learning styles and paces for more effective education.
Scale content production
Clay helps Scientists finalize drafts and publish campaigns without waiting for more resources.
Operational efficiency
Bots, rules, and triggers ensure nothing gets stuck in manual queues.
FAQ about Clay
What is Clay and what does it do?
How much does Clay cost?
Is Clay secure and compliant with data privacy regulations?
What platforms does Clay support?
How can I try Clay before purchasing?
What file formats does Clay support?
Who develops and maintains Clay?
How do I get access to Clay?
How is usage measured and billed in Clay?
What deployment options does Clay offer?
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Keep Clay's listing accurate
Providers can update product facts, pricing context, screenshots, and launch notes. Paid placements are labeled separately and do not replace editorial or data-quality review.
How to Evaluate Clay
Compare Clay with Apollo.io, ZoomInfo, Cognism and other alternatives before you decide. The goal is not to pick the most popular product; it is to find the tool that fits your actual workflow, risk level, and budget.
- Step 1Run the demo with one real scientists task, not a sample prompt.
- Step 2Model the full monthly cost at your expected usage, including seats, limits, and overages.
- Step 3Verify the integration path with your existing stack before you commit.
- Step 4Review privacy, retention, and compliance terms before using sensitive data.
For developer teams, inspect the Python SDK and JavaScript/TypeScript support. Review the API documentation for auth, rate limits, errors, and export behavior. For broader context, browse more data analytics tools for scientists, or compare this page against the category hub. New to AI tool evaluation? Start with AI Tool Navigator.
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