> For the complete documentation index, see [llms.txt](https://v2.dataos.info/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://v2.dataos.info/consume/evaluate.md).

# Evaluate

- [Overview](https://v2.dataos.info/consume/evaluate/overview.md): Review a Data Product's context, assets, and trust signals before you query or consume it.
- [Explore assets](https://v2.dataos.info/consume/evaluate/assets.md): Explore what a Data Product is built from, what it publishes, and how data flows through it.
- [Overview](https://v2.dataos.info/consume/evaluate/assets/overview.md): Trace data from inputs to outputs, semantic models, and metrics in the asset graph.
- [Seeds](https://v2.dataos.info/consume/evaluate/assets/seeds.md): Static reference datasets used to enrich a Data Product's outputs.
- [Inputs](https://v2.dataos.info/consume/evaluate/assets/inputs.md): Inspect the source datasets, raw fields, and lineage a Data Product reads from.
- [Outputs](https://v2.dataos.info/consume/evaluate/assets/outputs.md): Review the curated datasets a Data Product publishes for downstream use.
- [Semantics](https://v2.dataos.info/consume/evaluate/assets/semantics.md): Review the dimensions, measures, and relationships exposed for business queries.
- [Metrics](https://v2.dataos.info/consume/evaluate/assets/metrics.md): Review the governed business measures a Data Product exposes and the models behind them.
- [Query in Studio](https://v2.dataos.info/consume/evaluate/query-in-studio.md): Query a Data Product's semantic models in Studio to confirm it exposes the right data.
- [Save as Perspective](https://v2.dataos.info/consume/evaluate/query-in-studio/save-as-perspective.md): Save a Studio query as a perspective to reuse, share, and serve through a Data API.
- [Trust and freshness](https://v2.dataos.info/consume/evaluate/trust-and-freshness.md): Check a Data Product's quality, freshness, and AI-readiness before relying on it.
- [Track activity](https://v2.dataos.info/consume/evaluate/track-activity.md): Review a Data Product's runs and version history to judge execution health and recent changes.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://v2.dataos.info/consume/evaluate.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.