Clay #clay

Sequencer is a feature of Clay that runs cold outbound campaigns from the workspace's own data: dynamic lead lists from Clay Audiences, signals, or Clay's people database, AI-personalized copy,...

Clay CLI is a feature of Clay that drives the GTM data platform from the terminal as the clay binary — searching Clay's people and company dataset, running enrichment routines, building workflows,...

Clay and Cargo are both Go-To-Market (GTM) data and automation platforms that, as of September 2026, expose a CLI, an HTTP API, and a Model Context Protocol (MCP) server so coding agents can source,...

Audiences is a feature of Clay that centralizes a company's first- and third-party data — CRM records, warehouse tables, buyer intent signals, and enrichment results — into one model of people,...

Workflows is a feature of Clay that builds and runs GTM plays end to end as visual graphs of steps — triggers, search, enrichment, Claygent and account agents, conditional routing, Python code, and...

Claygent Builder is a component of Claygent inside Clay that centralizes a workspace's AI research agents and their prompts in one place, where users build, test, refine, and reuse Claygents instead...

Clay Custom MCP is a feature of Clay that lets a workspace add an external Model Context Protocol (MCP) server — by name, URL, and key — so that server's tools become callable by Claygent and AI...

Web Intent enables any Clay user to Track your Ideal Customer Profile (ICP)s website activity directly inside Clay, and take precise action at the right time. This enables you to see who's engaging...

Clay has a growing library of integrations, marketed in 2026 as a data marketplace of more than 200 providers. I've augmented the list below with memos for each of the integrations we use most often,...

Semantic search within Clay enables users to find relevant integrations and data enrichments within the Clay platform by enabling users to type natural language queries rather than relying solely on...

How to Build Custom AI Agents in Clay refers to the structured approach for designing, testing, and refining AI-powered agents—called Claygents—within the Clay platform. The process begins by...

Claygent Connectors is a component of Claygent inside Clay that brings first-party context to research agents — call transcripts from Gong, Salesforce records, Google Docs, and more — so research...

Claygent is a feature of Clay that turns natural-language prompts into AI research agents — small programs that crawl the web, navigate sites, and enrich records across a Clay workspace. It collapses...

Clay Ads is an ad audience activation layer built by Clay that transforms CRM data and buying signals into synchronized ad audiences. Since the Ads 2.0 release it builds unlimited, always-on...

Sculpt is an annual Go-To-Market (GTM) conference organized by Clay in San Francisco, CA. The one-day event centers on practitioner-led talks about AI-enabled GTM systems, with no sponsored sessions,...

Clay Credits are the usage currency of Clay, metered since a March 2026 repricing as two separate pools: data credits for enrichment and actions for platform executions. Data credits pay for lookups...

Clay Cup is a live go-to-market engineering competition run by Clay in which builders race to construct GTM plays in Clay, with city qualifiers worldwide and a championship final on stage at Sculpt....

Clay MCP is a feature of Clay that exposes Clay's people and company search, waterfall enrichment across 200+ data providers, and admin-published functions to AI assistants through the Model Context...

Functions is a feature of Clay that packages a sequence of enrichment steps, AI agents, and conditional logic into one reusable unit that runs as a single column in any table, audience, or workflow....

Clay Agent Plugins is a plugin marketplace from Clay that connects AI coding agents to Clay's go-to-market data platform. It packages agent skills, MCP tools, and a clay CLI so assistants such as...