Eval directory
Evals for Clay
7 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for Clay AI products.
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.
How complete this published benchmark library is across datasets, metrics, rubrics, use-case maps, and pack context. This is library coverage, not an agent performance score.
Test datasets
7/7 packs
Scoring metrics
0/7 packs
Judge rubrics
7/7 packs
Use-case maps
0/7 packs
Pack context
7/7 packs
Available eval packs for Clay
7 packs ready to run.
Claygent Ai Research Agent Grounding
Answer RelevanceEvaluates Clay's Claygent AI Research Agent Grounding across 10 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's GTM / RevOps data platform eval coverage.
Crm Sync Write Back Safety
Evaluates Clay's CRM Sync & Write-back Safety across 10 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's GTM / RevOps data platform eval coverage.
Email Finder Verification Pipeline
Evaluates Clay's Email Finder & Verification Pipeline across 10 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's GTM / RevOps data platform eval coverage.
Gdpr Ccpa Tcpa Compliance Fields
Evaluates Clay's GDPR / CCPA / TCPA Compliance Fields across 10 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's GTM / RevOps data platform eval coverage.
Person Company Entity Resolution
Evaluates Clay's Person & Company Entity Resolution across 10 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's GTM / RevOps data platform eval coverage.
Waterfall Enrichment Provider Ordering
Evaluates Clay's Waterfall Enrichment & Provider Ordering across 11 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's GTM / RevOps data platform eval coverage.
Workflows Templates Sequencer Integrations
Evaluates Clay's Workflows, Templates & Sequencer Integrations across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's GTM / RevOps data platform eval coverage.
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.