# Understand you data (QC, methods)

For your data to be fully exploitable by K Pro's AI agents, it needs to meet a defined set of structural and quality requirements. This section explains how Owkin thinks about AI data readiness, which biological modalities and file formats K Pro currently supports, and the naming conventions and ontologies data must conform to. Whether you are preparing your own dataset for integration or evaluating a third-party dataset, this section is the technical reference you need.

{% content-ref url="/pages/RLzBO1KSapCNhQnq1RdP" %}
[The AI-maturity model](/explore-and-analyse-data/k-pro-data-model-and-technical-references/the-ai-maturity-model.md)
{% endcontent-ref %}

{% content-ref url="/pages/plui2xjJVbZAi6NSMbak" %}
[Supported modalities](/explore-and-analyse-data/k-pro-data-model-and-technical-references/supported-modalities.md)
{% endcontent-ref %}

{% content-ref url="/pages/px5r2MV8w8ih27rA0Xy0" %}
[Preferred ontologies and nomenclatures](/explore-and-analyse-data/k-pro-data-model-and-technical-references/preferred-ontologies-and-nomenclatures.md)
{% endcontent-ref %}


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# Agent Instructions: 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:

```
GET https://docs.owkin.com/explore-and-analyse-data/k-pro-data-model-and-technical-references.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.