Evaluation
Data Platform Evaluator Agent
Data Platform agent blueprint focused on score outputs against explicit rubrics so teams can compare variants, regressions, and rollout quality over time for analysts and engineers need better query generation, pipeline debugging, and dataset explanation across changing schemas.
Best use cases
query planning, pipeline diagnostics, dataset annotations, quality gates, A/B review, release readiness
Alternatives
Data Platform Orchestrator Agent, Data Platform Planner Agent, CrewAI
Data Platform Evaluator Agent
Data Platform Evaluator Agent is a reference agent blueprint for teams dealing with analysts and engineers need better query generation, pipeline debugging, and dataset explanation across changing schemas. It is designed to score outputs against explicit rubrics so teams can compare variants, regressions, and rollout quality over time.
Where It Fits
- Domain: Data Platform
- Core stakeholders: data engineers, analytics teams, platform owners
- Primary tools: SQL warehouse, dbt metadata, incident logs
Operating Model
- Intake the current request, case, or workflow state.
- Apply evaluation logic to the available evidence and system context.
- Produce an explicit output artifact such as a summary, decision, routing action, or next-step plan.
- Hand off to a human, a downstream tool, or another specialist when confidence or permissions require it.
What Good Looks Like
- Keeps outputs grounded in the most relevant internal context.
- Leaves a clear trace of why the recommendation or action was taken.
- Supports escalation instead of hiding uncertainty.
Implementation Notes
Use this agent when the team needs query planning, pipeline diagnostics, dataset annotations with tighter consistency and lower manual overhead. A good production setup usually combines structured inputs, bounded tool access, and a review path for high-risk decisions.
Suggested Metrics
- Throughput for data platform workflows
- Escalation rate to human operators
- Quality score from evaluation review
- Time saved per completed workflow
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