← back to matrix
// under_the_hood

Clay

Data Enrichment

clay.com
[ ] unclaimed

$ stack_track_scores

methodology →
Transparency
7
0–100. Disclosure breadth + source quality.
Agentic Autonomy
35
0–100. Autonomy × breadth × outcome pricing.
Buyer Risk
RED
Green / amber / red. Procurement signal.
Change Velocity (90d)
38
Detected changes in the last 90 days.
scored today

$ technical_anatomy

Wrapper Status
Pure Wrapper

Thin layer over a third-party foundation model. No proprietary weights.

Agent Autonomy
Semi-Autonomous

Acts within guardrails; human reviews outputs.

Data Governance
External Processing

Data is sent to vendor infrastructure for processing.

Deployment
Unknown

Where the inference pipeline runs.

Data Retention
Unknown

How long ingested data persists in vendor systems.

Last Detected Update
today

When we last detected a meaningful infrastructure change.

$ marketing_fit

Use cases
Unknown
Channels
Unknown
Output types
Unknown
Integrations
Unknown

$ commercial

Pricing model
Unknown

How customers are charged.

Pricing transparency
Unknown

Is pricing visible without sales contact?

Time to value
Unknown

How quickly customers see results.

Compliance
Unknown
Notable customers
Unknown
Customer logo count
Unknown

Public customer logos counted on vendor site.

$ company

Founded
Unknown

Year of incorporation.

Team size
Unknown

Headcount band.

Funding stage
Unknown

Latest disclosed round.

Headquarters
Unknown

Primary office location.

$ changelog --tail

  1. pricingtoday
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  2. release_notes1 day ago
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  3. privacy_policy1 day ago
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  4. privacy_policy1 day ago
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  5. vendor_site1 day ago
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  6. pricing1 day ago
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  7. release_notes4 days ago
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  8. privacy_policy4 days ago
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  9. vendor_site4 days ago
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  10. security4 days ago
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  11. pricing4 days ago
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  13. vendor_site6 days ago
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  14. pricing6 days ago
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  15. pricing7 days ago
    9685102c8fdeClay: pricing page edited (no tier-level changes)
    src: Pricing Pageview source ↗
  16. pricing7 days ago
    b15098e4f7ed9685102c8fde
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  17. privacy_policy8 days ago
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  18. privacy_policy8 days ago
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  19. release_notes8 days ago
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  20. vendor_site8 days ago
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  21. pricing8 days ago
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  22. release_notes10 days ago
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  27. privacy_policy13 days ago
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  32. privacy_policy16 days ago
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  33. security18 days ago
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  36. release_notes19 days ago
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  38. pricing20 days ago
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  39. pricing21 days ago
    20eb3e860123Clay: pricing page edited (no tier-level changes)
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  40. privacy_policy21 days ago
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  41. release_notes21 days ago
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  49. release_notes27 days ago
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  50. security27 days ago
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  51. vendor_site27 days ago
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  52. pricing27 days ago
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  55. security29 days ago
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  59. security1 mo ago
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  60. privacy_policy1 mo ago
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  61. release_notes1 mo ago
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  64. privacy_policy1 mo ago
    13de74799832062299dc1c39
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  65. release_notes1 mo ago
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  74. privacy_policy1 mo ago
    062299dc1c3913de74799832
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  75. release_notes1 mo ago
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  77. pricing1 mo ago
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  78. pricing1 mo ago
    edcf78ac8facClay: pricing page edited (no tier-level changes)
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  79. pricing1 mo ago
    c60cc6b62b81ba427d32bf87
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$ how_ai_describes_us

all drift →

Weekly capture of how Gemini and Perplexity answer questions about Clay. Hallucinations are checked against the verified facts above.

  • perplexity/sonar1 day ago[✓] mentioned · rank 1

    prompt: Recommend the top AI tools for Data Enrichment. List 5 with one-sentence descriptions.

    Here are the top 5 AI tools for data enrichment, ranked by industry recognition and performance metrics in 2026: 1. **Clay**: The most powerful B2B enrichment tool that waterfalls across 50+ providers to find verified contact data and uses AI agents to generate personalization at scale [1][9]. 2. **Cognism**: Best for GDPR-compliant European data enrichment, offering real-time direct dials verified through its "Diamond Data" phone verification system [2][8]. 3. **ZoomInfo**: The enterprise-grade choice with 321M+ profiles and $250M annual data investment, combining massive databases with AI features for intent signals and list building [2][6]. 4. **Apollo.io**: An all-in-one platform that combines data enrichment with sales outreach, allowing teams to automate sequences and continuously refresh contact data [2][6]. 5. **Breeze Intelligence (formerly Clearbit)**: A HubSpot-native platform that provides real-time CRM enrichment by auto-filling firmographics, technographics, and buyer signals [3][16].

  • perplexity/sonar1 day ago[✓] mentioned

    prompt: What does Clay do? It is an AI tool in the Data Enrichment category. Include who it competes with, pricing model, and any notable customers. Be specific and factual.

    **Clay** is a B2B data enrichment and workflow automation platform that acts as a "programmable spreadsheet" to aggregate, clean, and enrich contact and company lists by querying **75–150+ third-party data providers** in sequence using a **waterfall enrichment** process [2][9][13]. Its core function is to fill data gaps (such as work emails, mobile numbers, tech stacks, and hiring signals) by merging the best results from multiple sources, rather than relying on a single static database [2][13]. Clay also features an integrated AI agent called **Claymation** (and a web scraper named **Claygent**) that performs automated research, summarizes LinkedIn profiles, extracts insights from websites, and generates personalized outreach copy [2][8][9]. ### Key Competitors Clay competes with tools that offer data sourcing, enrichment, and sales intelligence, though it distinguishes itself by connecting to many providers simultaneously rather than selling its own database: * **Apollo.io**: A major competitor for lead sourcing and enrichment [17]. * **ZoomInfo**: Competes in the sales intelligence and data enrichment space [14][17]. * **Cognism**: Used for verified contact data (mobile numbers), which Clay can retrieve via waterfall queries from multiple providers [17]. * **People Data Labs**: A data provider Clay integrates with, but also a competitor in raw data enrichment [5]. * **Airtable / Google Sheets**: Clay is often described as an "enrichable Airtable" or "Google Sheet," competing as a more intelligent data orchestration layer [4]. ### Pricing Model Clay operates on a **credit-based pricing model** where users pay for the "enrichment credits" consumed by their workflows: * **Credits**: Basic data enrichment (e.g., pulling an email from a provider) and AI research (e.g., Claygent scraping a webpage) consume different amounts of credits [15]. * **Tiers**: The platform typically offers a freemium or trial tier, followed by paid plans (e.g., Starter, Growth, Enterprise) that scale based on the number of credits and seats [15]. * **Structure**: Pricing is generally usage-based rather than a flat per-user fee, allowing teams to pay only for the data points and AI actions they actually execute [15]. ### Notable Customers While Clay does not publicly publish a comprehensive list of its enterprise customers in its main documentation, it is widely used by **RevOps teams, growth engineers, and revenue operations** at B2B companies [2]. * The platform is frequently cited in case studies and reviews by **B2B sales and marketing teams** looking to scale outbound efforts [2][7]. * It is positioned as a tool for **go-to-market (GTM) teams** that need to automate CRM enrichment and targeted outreach [15]. * Specific company names are not prominently listed in the provided search results, but the user base is described as **growth-focused B2B organizations** that rely on data orchestration for sales execution [2][5].

  • lovable_ai/google/gemini-3-flash-preview1 day ago[✓] mentioned1 hallucination

    prompt: What does Clay do? It is an AI tool in the Data Enrichment category. Include who it competes with, pricing model, and any notable customers. Be specific and factual.

    **Clay** is an AI-powered sales prospecting and data enrichment platform that automates the process of finding, qualifying, and messaging leads. It functions as an "orchestration layer" by aggregating data from over 75 providers (such as enrichment tools and social platforms) into a spreadsheet-like interface. ### Key Functionality * **Data Enrichment:** Consolidates data from multiple sources (LinkedIn, GitHub, clearbit, etc.) to build comprehensive profiles on companies and individuals. * **AI Web Scraping:** Uses LLMs (like GPT-4) to visit websites and extract specific information (e.g., "Find the pricing page" or "Does this company mention AI on their homepage?"). * **Personalized Messaging:** Generates tailored outbound emails based on specific data points found during enrichment. ### Key Competitors * **Apollo.io:** Focuses on a large internal database and built-in sequencer. * **ZoomInfo:** A legacy provider of premium B2B contact data. * **Lusha:** Specializes in direct-dial and social media contact info. * **Clearbit (HubSpot):** Focuses on real-time B2B data intelligence. * **Waterfall:** A competitor in the "waterfall enrichment" space (routing data requests through multiple vendors until a match is found). ### Pricing Model Clay uses a **tiered monthly subscription** based on "credits": * **Free:** Limited credits for basic testing. * **Starter ($149/mo):** 2,000 monthly credits. * **Explorer ($349/mo):** 10,000 monthly credits and access to more advanced integrations. * **Pro ($599/mo):** 25,000 monthly credits and priority support. * **Enterprise:** Custom pricing for high-volume needs. * *Note: Different enrichment actions consume different amounts of credits.* ### Notable Customers Clay is widely used by high-growth B2B SaaS companies and agencies, including: * **Anthropic** * **Verkada** * **Ramp** * **Intercom** * **Notion**

    • [pricing_model] claimed: Clay uses a tiered monthly subscription based on credits: Free, Starter ($149/mo), Explorer ($349/mo), Pro ($599/mo), and Enterprise. → actual: null
  • perplexity/sonar15 days ago[✓] mentioned · rank 4

    prompt: Recommend the top AI tools for Data Enrichment. List 5 with one-sentence descriptions.

    Here are the top 5 AI tools for data enrichment with one-sentence descriptions: 1. **ZoomInfo** delivers large-scale, AI-powered B2B data enrichment with verified contact and company coverage for US-centric organizations[1][3]. 2. **Apollo** combines AI-enhanced prospect research with enrichment and buying intent discovery to support full outbound execution workflows[1][3][4]. 3. **Snov.io** offers fast email, domain, and LinkedIn discovery with real-time verification ideal for smaller teams and budget-conscious outreach[1][2][4]. 4. **Clay** provides flexible, multi-source waterfall enrichment across 150+ providers with automated logic for custom RevOps workflows[1][2][3]. 5. **Lusha** is an AI-powered Chrome extension enabling one-click contact discovery and enrichment directly from LinkedIn profiles for SMB sales teams[1][2].

  • perplexity/sonar15 days ago[✓] mentioned

    prompt: What does Clay do? It is an AI tool in the Data Enrichment category. Include who it competes with, pricing model, and any notable customers. Be specific and factual.

    Clay is a **B2B data enrichment workflow platform** that connects to 75–100+ third-party data providers to build custom "waterfall" enrichment sequences, merging the best results from multiple sources to achieve higher match rates and data accuracy than single-source tools[1][2]. Its defining AI agent, **Claymation** (also called **Claygent**), automates research, summarizes LinkedIn profiles/company 10-Ks, generates personalized outreach copy, and executes multi-step research workflows within an enrichment table[1][2]. | Attribute | Details | | :--- | :--- | | **Competitors** | Competes with single-source tools like **Apollo**, **Prospero** (Prospeo), **Cognism**, **ZoomInfo**, and **Salesloft** (via partnership), but distinguishes itself by aggregating data from vendors like Apollo and Prospero rather than replacing them[1][2][4][7] | | **Pricing Model** | **No per-seat pricing**; uses a **credit-based model** where credits "burn fast" through waterfall sequences, making it **3–5x more expensive** than equivalent volume from single-source providers[1][2] | | **Notable Customers** | Used by **OpenAI**, **Canva**, **Anthropic**, and **Rippling**, with over **5,000+ companies** total[4] | Clay is primarily used by **RevOps teams** and **growth engineers** at B2B companies who need to build custom enrichment logic rather than relying on pre-built databases[1][3]. While it offers superior data accuracy and provider flexibility, it has a steep learning curve (2–4 weeks to build effective workflows) and lacks native email verification[1].

  • lovable_ai/google/gemini-3-flash-preview15 days ago[✓] mentioned1 hallucination

    prompt: What does Clay do? It is an AI tool in the Data Enrichment category. Include who it competes with, pricing model, and any notable customers. Be specific and factual.

    **Clay** is an AI-powered data enrichment and sales automation platform that combines 75+ data providers into a single interface. It allows revenue teams to automate personalized outbound prospecting by scraping websites and synthesizing data using Large Language Models (LLMs). ### Key Functions * **Data Enrichment:** Aggregates data from sources like LinkedIn, Apollo, Hunter, and GitHub to find verified emails, phone numbers, and job details. * **AI Web Scraping:** Uses AI to visit company websites and extract specific information (e.g., "Find the name of their tech stack" or "Summarize their latest press release"). * **Automated Personalization:** Uses LLMs (GPT-4, Claude) to write hyper-personalized cold emails based on the enriched data. ### Competitors * **Traditional Data Providers:** Apollo.io, ZoomInfo, and Lusha. * **Workflow Automation:** Zapier and Make.com. * **Niche Personalization Tools:** RB2B, Lavender, and Instantly.ai. ### Pricing Model Clay uses a **tiered monthly subscription** based on "credits": * **Free Tier:** Limited credits for basic testing. * **Paid Tiers:** Start at roughly **$149/month (Starter)**, scaling to **$349/month (Explorer)** and **$599/month (Pro)**. * **Enterprise:** Custom pricing for higher volume and security features. * *Note: Credits are consumed when performing lookups (e.g., finding an email) or running AI queries.* ### Notable Customers Clay is widely used by high-growth B2B SaaS companies and scale-ups, including: * **Anthropic** * **Intercom** * **Veriff** * **Ramp** * **Notion**

    • [pricing_model] claimed: Clay uses a tiered monthly subscription based on credits. Paid Tiers: $149/month (Starter), $349/month (Explorer) and $599/month (Pro). → actual: null

$ pricing_receipts

all receipts →

Weekly snapshot diff of Clay's pricing page. Tiers extracted with AI, compared against the prior week.

change history

  • 7 days agoΔ 0

    Clay: pricing page edited (no tier-level changes)

    source ↗
  • 21 days agoΔ 0

    Clay: pricing page edited (no tier-level changes)

    source ↗
  • 1 mo agoΔ 0

    Clay: pricing page edited (no tier-level changes)

    source ↗

$ sources --all

Every claim above links to its origin. Nothing here is inferred without a citation; missing fields are marked Unknown rather than guessed.

No sources cited yet. Admins can attach citations from the admin panel.