Clay #feature-of-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,...

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...

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...

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 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....

Sculptor is a Clay AI copilot that turns natural-language descriptions into production-ready Clay tables, enrichment workflows, and Claygent prompts — without requiring users to write any prompt...

Signals is a feature of Clay that turns any tracked data change — job changes, website visits, social mentions, technology installs, hiring patterns, support tickets — into a sales-ready trigger for...