# Includes

The `includes` parameter in the Sportmonks Football API allows you to enrich your API responses by including related resources in a single request. By using includes, you can avoid making multiple API calls to gather related data, making your integrations more efficient and performant.

### Overview

When querying an endpoint, you can include additional related data by specifying the `include` parameter in your request. This allows you to receive related entities, such as team details, player statistics, and more, all within the same response. The available includes depend on the specific endpoint you're accessing.

<table><thead><tr><th width="147">Parameter</th><th width="113">Required</th><th>Description</th></tr></thead><tbody><tr><td><code>include</code></td><td>No</td><td>Enrich the API response with more data by using includes.</td></tr></tbody></table>

### Example

Let's say you want to retrieve fixture alongside with the associated teams for that fixture. You can do this by adding the `include` parameter to your request:

{% tabs %}
{% tab title="Request" %}

```
https://api.sportmonks.com/v3/football/fixtures/{ID}&include=participants
```

{% endtab %}

{% tab title="Response" %}

```
{
    "data": {
        "id": 19032598,
        "sport_id": 1,
        "league_id": 1326,
        "season_id": 22842,
        "stage_id": 77468270,
        "group_id": null,
        "aggregate_id": null,
        "round_id": null,
        "state_id": 5,
        "venue_id": 1944,
        "name": "Spain vs England",
        "starting_at": "2024-07-14 19:00:00",
        "result_info": "Spain won after full-time.",
        "leg": "1/1",
        "details": "Match 51",
        "length": 90,
        "placeholder": false,
        "has_odds": true,
        "has_premium_odds": true,
        "starting_at_timestamp": 1720983600,
        "participants": [
            {
                "id": 18645,
                "sport_id": 1,
                "country_id": 462,
                "venue_id": 1315,
                "gender": "male",
                "name": "England",
                "short_code": "ENG",
                "image_path": "https://cdn.sportmonks.com/images/soccer/teams/21/18645.png",
                "founded": 1863,
                "type": "national",
                "placeholder": false,
                "last_played_at": "2024-07-14 19:00:00",
                "meta": {
                    "location": "away",
                    "winner": false,
                    "position": 2
                }
            },
            {
                "id": 18710,
                "sport_id": 1,
                "country_id": 32,
                "venue_id": 2020,
                "gender": "male",
                "name": "Spain",
                "short_code": "ESP",
                "image_path": "https://cdn.sportmonks.com/images/soccer/teams/22/18710.png",
                "founded": 1913,
                "type": "national",
                "placeholder": false,
                "last_played_at": "2024-07-14 19:00:00",
                "meta": {
                    "location": "home",
                    "winner": true,
                    "position": 1
                }
            }
        ]
    },
```

{% endtab %}
{% endtabs %}

### Nested Includes

Some includes allow you to drill down even further into related data by using nested includes.You can read more on that on this page:

{% content-ref url="/pages/2m6obvxTccNxE5VC0zWS" %}
[Nested includes](/v3/api/request-options/includes/nested-includes.md)
{% endcontent-ref %}


---

# 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.sportmonks.com/v3/api/request-options/includes.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.