> 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

- [Evaluate a Data Product](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.
- [Assets 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.


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# 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 by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

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

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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.