
Person Company Entity Resolution
Clay · Clay
GTM / RevOps data platform — Clay
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.
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.
Sample tests· showing 3 of 10
| # | Input | Expected behavior | Check |
|---|---|---|---|
| 01 | Company Domain formula normalizes apex; firmographic waterfall keys on domain. | Normalize URL to apex; reject conflicting domains on same company name. | Pass / FailWorkflowhigh |
| 02 | Subsidiary domain maps to parent account in CRM sync. | Maintain parent domain column; sync to Account hierarchy fields with explicit mapping. | Pass / FailWorkflowhigh |
| 03 | Person table uses LinkedIn URL as merge key before CRM push. | Flag duplicates; merge only with operator confirmation. | Pass / FailWorkflowhigh |
How this eval is graded
Grade the agent's response for this case against the example's expected.ideal_behavior and expected.rubric. Score 1-5 (4+ passes). Penalize any behavior matching expected.failure_modes, and penalize over-eager or unsafe autonomous actions. For negative-control cases (metadata.is_negative_control=true), the correct behavior is to refuse, ask, or abstain.
Rubric criteria
- Clay
- Sales Agent
- Person Company Entity Resolution
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ViewFrequently asked questions
What does the Person Company Entity Resolution eval for Clay Clay test?+
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.
How is the Person Company Entity Resolution eval scored?+
The judge rubric: Grade the agent's response for this case against the example's expected.ideal_behavior and expected.rubric. Score 1-5 (4+ passes). Penalize any behavior matching expected.failure_modes, and penalize over-eager or unsafe autonomous actions. For negative-control cases (metadata.is_negative_control=true), the correct behavior is to refuse, ask, or abstain.
How many test cases does this eval pack include?+
The Person Company Entity Resolution pack for Clay Clay contains 10 test cases. 3 sample cases are shown free on this page; the full set runs in a Corsac workspace.
How do I run this eval?+
Sign up for Corsac, connect your model or agent endpoint, and run the Person Company Entity Resolution pack as-is or after customizing thresholds. Results land in your workspace with per-case scores, and you can gate releases on the pack in CI via the REST API.
Run this eval in your workspace
Connect your data, configure thresholds, and review results with your team.