Clay
Clay closes the data-to-execution gap: Sequencer 2.0 ships outbound natively
◆Recent moves
- 6d ago
Functions, Auto Top-Ups, and Self-Serve Sign-In
Functions replaces the legacy Recipes system with named, reusable enrichment logic—a real upgrade for power users building multi-step workflows. Self-Serve Sign-In and Auto Top-Ups address admin friction that previously required support tickets or manual credit monitoring, both necessary steps for Clay operating as shared team infrastructure.
- 20d ago
Advanced MCP Search and Pardot Integration
Cross-entity MCP search extends Clay's AI integration—users can now search people, companies, and jobs in a single query from Claude or ChatGPT, sharpening Clay's role as the data layer for AI-native GTM workflows. The Pardot integration adds a Salesforce marketing cloud sync that fills a gap for enterprise sales teams running Account Engagement campaigns.
- 26d ago
Clay Sequencer 2.0
⚡ SPARKSequencer 2.0 is the clearest statement yet that Clay is no longer a data enrichment tool—it is an execution platform. Sending outbound sequences from the same workspace where GTM data lives and is enriched removes the primary reason sales teams had to export data into Apollo or Outreach.
- 27d ago
NAICS Filtering, Faster Audiences, and MCP Usability Fixes
This roundup fills out Audiences and the enrichment catalog with incremental capabilities: NAICS filtering for industry-code targeting, webhook safety warnings to prevent data loss, and faster signal-run tracking in near real time. Clickable links in MCP widget results is a small but visible polish that makes the Claude and ChatGPT integrations more actionable.
- 1mo ago
Credit Budgets and Testing Functions
Credit Budgets and Testing Functions address two friction points for teams running Clay at scale: uncontrolled enrichment spend and the risk of deploying untested logic on live tables. Both are operational releases that reduce the cost of using Clay as shared workspace infrastructure across a revenue team.
- 1mo ago
Claygent Skills, Snowflake AI SQL, and SOQL Imports
Skills in Claygent Builder bring reusable instruction sets to Clay's AI agent, making Claygent more predictable for structured, repeatable workflows rather than one-off runs. AI-generated SQL for Snowflake lowers the barrier for pulling warehouse data into Clay without writing queries manually—a step toward Clay owning more of the data pipeline upstream of enrichment.