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ByHeather MacAvelia·Independently reviewed·Published Mar 18, 2026·Updated Nov 8, 2026
Independently verified against live vendor data on Nov 8, 2026.

GTM data platform with waterfall enrichment across 200+ data and AI vendors, Claygent AI research and a first-party MCP server. Free plan, paid plans from $167/mo billed annually (USD).

How we scored it

Autonomy

4/5

Integrations

5/5

Pricing clarity

4/5

Evidence

5/5

Setup

4/5

The facts

Clay is a go-to-market data platform that combines a marketplace of 200+ data and AI vendors with AI research, automation and outreach. Its core mechanic is waterfall enrichment: Clay queries providers in sequence and stops at the first verified match, which widens coverage while holding cost down, and an enrichment that returns no result is not charged. Named customers include OpenAI, Anthropic, Google, Stripe, Uber, Figma, Rippling, Notion, Klaviyo, HubSpot, Intercom, Cursor, Ramp and Vanta. Clay leads with OpenAI, Anthropic, Vanta and Ramp on its own homepage, and publishes a Figma case study on building GTM infrastructure. Clay announced passing $100M in annual recurring revenue in December 2025 and raised a $115M Series D at a $7.1B valuation in September 2026. Its newsroom also links New York Times coverage of a January 2026 employee share sale at a $5B valuation.

Claygent is Clay's AI agent with web research. It generates custom data points that no pre-indexed provider holds, such as open roles and headcount from a careers page or signals from a newsroom. Clay now also offers Claygents, specialized agents that reason over a team's own data for a specific job. Sculptor builds a Clay automation from a plain-language description of a workflow. Functions provide reusable logic blocks deployable across tables, and Audiences centralizes first and third-party data sources. Account Agents, in beta on the Launch, Growth and Enterprise plans, reason over everything known about an account, decide the next action and keep what they learned, and a Clay CLI lets coding agents build on Clay directly.

Clay publishes a first-party MCP server, documented on a dedicated page with Clay University courses for operations teams and for reps. External assistants including ChatGPT, Codex and Claude can call Clay Functions, reason across Audiences and return up to 1,000 People Search results, with budget guardrails and admin controls set by the operations team. On Growth and above, Clay auto-syncs and enriches CRM records, syncs with data warehouses including Snowflake, BigQuery and Databricks, calls any HTTP API and triggers on webhooks. Clay writes enriched data out to Salesforce, HubSpot, Outreach, Salesloft and Attio, connects natively with Zapier, and Clay support says Make.com and n8n connect through webhooks and the HTTP API. Its native Sequencer runs email campaigns without leaving the platform.

Pricing is public, and every paid tier is set on two dials. Each plan pairs an Actions tier, which meters platform orchestration, with a Data Credits tier, which buys data and AI from vendors in the marketplace, and neither dial can be set to zero. Launch starts at $167 per month billed annually, made up of 180,000 actions a year at $54 per month and 30,000 data credits a year at $113 per month, or $185 billed monthly. Growth starts at $446 per month billed annually, or $495 monthly. Both dials step up from there, on Launch to 2.4 million actions and 600,000 data credits a year. Data Credits start at $0.05 each and Actions at under a cent, unused Data Credits roll over, and bringing your own API keys skips Data Credit charges altogether. Token-intensive models such as GPT-5.1 and Claude 4.6 Sonnet are billed on the tokens they consume, while most other models cost a flat number of credits per task. A free plan gives 100 Data Credits and 500 Actions a month with unlimited seats and tables, capped at 200 rows per table.

What the entry price does not buy is worth reading before committing. CRM auto-sync, data warehouse sync, HTTP API integrations, webhook automation, web intent signals and audiences pushed to LinkedIn and Meta ads all sit on Growth rather than Launch. SSO, RBAC, bulk enrichment of more than 50,000 records and a dedicated growth strategist are Enterprise only, and Enterprise is the one tier with no published rate. It is a custom annual commitment agreed with sales. The free plan does not include phone number enrichment.

On assurance, Clay runs a trust portal at trust.clay.com carrying SOC 2 Type 2, GDPR, CCPA, ISO 27001:2022 and ISO 42001:2023. That portal also answers the training question directly. Asked whether it will use customer data for AI training purposes, Clay answers no, on the basis that it does not make customer tables available to third parties. It states that any future change would come with an opt-out. Buyers running a data review should note two further facts Clay publishes about itself: it is a registered data broker in California, Nevada, Oregon, Texas and Vermont, and it has not appointed a Data Protection Officer.

Clay rewards a dedicated owner, since building waterfall tables and Claygent prompts takes time, and teams without an operations lead should plan for that. For a managed contact database with per-seat pricing, Apollo.io (from $49/mo billed annually) is the closer fit. For outreach sequencing without an enrichment layer, Instantly.ai (from $37.60/mo billed annually) runs personalized campaigns. For general workflow automation, Zapier and Make.com (from $9/mo billed annually) are the alternatives. Teams that want an AI agent to call enrichment and other data providers directly, per call from an MCP client or a terminal rather than in a table, can use treg.to or looot. Data freshness depends on the underlying providers rather than on Clay, and phone number coverage in particular is inconsistent across the marketplace.

Current state Q4 2026: At its Sculpt conference on October 8, 2026, Clay launched Workflows, a visual canvas for building GTM systems with chat, clicks or code. It also opened a beta of a new Clay agent that plans, runs and schedules outcome-based GTM plays from chat. It also previewed an Inbound SDR Agent that enriches website visitors in real time, qualifies them by voice and routes qualified leads to a rep's calendar. On October 27 Clay made auto-mode the default for Claygent, a model router that picks a model per task and that Clay says cost 47% less on its own production traffic than sending every task to the most capable model. In November 2026 the Clay agent was still in beta and the Inbound SDR Agent still on a waitlist. The first-party MCP server remains reachable from ChatGPT, Codex and Claude. Its independent review corpus is strong on G2 and materially weaker on Trustpilot, where the smaller sample centers on credit-consumption visibility and support response times, and a buyer weighing the two should read both.

Pricing

freemium · $167/mo annual

View pricing ↗

Segment

Business

Setup

moderate

Verified

Nov 8, 2026

Transparency

Mostly Public

Contract

Monthly or Annual

Data training

Not Trained

Human in loop

Optional

Clay pricing

Clay pricing starts at $167/mo billed annually. A free plan is also available. Monthly and annual billing are both offered. Checked against the vendor's own pages on Nov 8, 2026.

Clay features

Lead generationOutbound automationData analysisCRM syncWeb searchPersonalizationWorkflow builder

Clay pros and limitations

Editorial assessment

Pros

  • ✓Waterfall enrichment across a marketplace of 200+ data and AI vendors queries sources in sequence and stops at the first verified match, which widens coverage while holding credit cost down, and failed enrichments consume nothing.
  • ✓Claygent reads any webpage and extracts the data points you specify, so a careers page yields open roles, headcount and tech-stack signals that no pre-indexed provider holds, pushed straight into your CRM in the same workflow.
  • ✓A first-party MCP server lets ChatGPT, Codex and Claude call Clay Functions and reason across Audiences directly, with write rules defined by the operations team rather than by the assistant.

Limitations

  • –The dual-meter model of Data Credits and Actions makes cost forecasting genuinely hard. Claygent runs and multi-provider waterfalls consume credits at variable rates, and frontier-model usage is billed on actual token consumption.
  • –The platform rewards a dedicated owner. Building effective waterfall tables and Claygent prompts requires understanding data-provider coverage, API logic and prompt construction, which is a real investment for a non-technical team.
  • –Data freshness depends on the underlying providers rather than on Clay, since it aggregates third-party sources rather than maintaining its own database. Phone number coverage is inconsistent across the marketplace.

Clay technical details

Deployment
webapi
Model architectureClaude 4.6 Sonnet, GPT-5.1, Gemini (model selection available)
Autonomous rateAI automatically enriches leads from 200+ sources and writes personalized outreach copy per contact without per-record human decisions once the waterfall and AI prompt are configured.
Integrations
SalesforceHubSpotSlackZapierMicrosoft TeamsGitHubNotionShopifyMicrosoft Dynamics 365PipedriveMarketoActiveCampaignAttioCloseLoxoRoxClari GrooveBreakcoldSnowflakeGoogle BigQueryDatabricksPostgreSQLFivetranAirtableGoogle SheetsCrossbeamCodaMixpanelDirectusMeerSalesloftOutreachGongSmartleadInstantlylemlistReply.ioHeyReachWoodpeckerLa Growth MachineLavenderCustomer.ioTypeformWebflowLoomSendsparkTavusSendosoBuskaVibe.coUpspring AIAgentMailIntercomLinkedIn AdsMeta AdsGoogle Ads
Security
SOC 2 Type IIGDPRCCPAISO 27001ISO 42001

Alternatives to Clay

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Rating

4.6/ 5
★★★★★

Editorial score

How we score this →

Recognition

Rated 4.6 ★MCP Server VerifiedListed 2026
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