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Claygent Ai Research Agent Grounding
Evaluates 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.
Mapped capabilities
10 scenarios
- In-table Claygent prompts
- MCP context connectors
Public sample case
- Input
- Claygent column in Accounts table must return CEO full name with source URL in cell note.
- Expected behavior
- Write prompt template referencing only company domain column; require citation column output.
- Check
- Pass / fail check

