> For the complete documentation index, see [llms.txt](https://docs.sportmonks.com/v2/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.sportmonks.com/v2/tutorials/enriching-your-response.md).

# Enriching your response

In this chapter, you will learn how to enrich your **API request** by using **includes**. Includes are the cornerstone of our API and allow you to enrich and customize your requests. This **flexibility** is what distinguishes Sportmonks from all competitors.&#x20;

Already know what includes are? No worries, we've got some extra information for you in this chapter: [**nested includes.** ](/v2/tutorials/enriching-your-response/nested-includes.md)

You can also skip this chapter and dive straight into [**filtering, sorting and limiting**](/v2/tutorials/filtering-limiting-and-sorting.md) right away.

{% content-ref url="/pages/-MJXP9HZwIVh86FAMENL" %}
[Nested includes](/v2/tutorials/enriching-your-response/nested-includes.md)
{% endcontent-ref %}

{% content-ref url="/pages/-MM\_BtM1A2-vTO0KKZOf" %}
[Filtering, limiting & sorting](/v2/tutorials/filtering-limiting-and-sorting.md)
{% endcontent-ref %}

{% hint style="info" %}
We recommend you submit your requests with Postman since we have already prepared the request for you there! Hit the button below to import our Football API collection.\
&#x20;                                                             [![Run in Postman](https://run.pstmn.io/button.svg)](https://football-postman.sportmonks.com/)
{% endhint %}


---

# Agent Instructions
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## 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.sportmonks.com/v2/tutorials/enriching-your-response.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.
