Claygent Ai Research Agent Grounding
Clay · Clay
Clay evals — Claygent AI Research Agent Grounding (relift v3)
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 | Claygent column in Accounts table must return CEO full name with source URL in cell note. | Write prompt template referencing only company domain column; require citation column output. | Pass / FailWorkflowhigh |
| 02 | Operator needs JSON with fields title, source_url for downstream formula column. | Configure Claygent response schema in column settings; validate JSON parse in formula column. | Pass / FailWorkflowhigh |
| 03 | Claygent uses MCP connector to pull filing snippets into prompt context for public company. | List MCP attachment steps in workspace; redact secrets; abstain if MCP scope missing. | Pass / FailWorkflowhigh |
Rubric criteria
- Clay
- Sales Agent
- Claygent Ai Research Agent Grounding
Recommended for
Works with
Related evals
Run this eval in your workspace
Connect your data, configure thresholds, and review results with your team.