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Evals for Clay

7 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for Clay AI products.

Revenue Intelligence
Use evals for Clay

About Clay

Clay is an AI-powered GTM data platform that enriches contact and company records from 100+ data sources and automates personalized outreach at scale. Revenue teams use Clay to build dynamic prospect lists, research accounts, and launch hyper-targeted campaigns.

Employees

~200

Industry

GTM Data & Automation

Headquarters

New York, NY

Website

clay.com

Available eval packs for Clay

7 packs ready to run.

Why eval Clay AI

Clay's AI features ship behind brand promises about accuracy, safety, and reliability. Buyers and integrators need to know those promises hold up under adversarial prompts, edge-case workflows, and the long tail of real customer inputs — not just the demo path.

The Corsac eval library for Clay measures four dimensions teams care about most when deploying revenue intelligence agents:

  • Adversarial robustness — does the agent resist prompt injection, jailbreaks, and social-engineering attempts?
  • Workflow quality— does it complete the task buyers were shown in the demo, on inputs that don't look like the demo?
  • Safety gates — does it escalate or refuse when it should, and only then?
  • Operator quality — does it preserve analyst trust by surfacing the right context at the right time?

Every eval pack above is hand-authored against Clay's public product surface and runnable in Corsac with your own data.