> For the complete documentation index, see [llms.txt](https://docs.sportradar.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.sportradar.com/table-tennis/table-tennis-multisport/overview.md).

# Overview

To start, you can head to the following few sections. It offers a step-by-step walkthrough on utilising our REST APIs and WebSocket endpoints. You'll find detailed query parameter explanations, payload examples, responses, and various action types.

If you encounter any issues or require assistance, our dedicated support team is here to help. Feel free to reach out to them at [support@sportradar.com](mailto:dataupport@imgarena.com). We're committed to ensuring a smooth and successful experience for you.

Once again, welcome to the technical documentation, and we look forward to assisting you on your journey!

{% hint style="info" %}
Please note that we will be running our legacy Table Tennis and New multisport Table Tennis service throughout 2025 to ease customer transition
{% endhint %}


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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 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://docs.sportradar.com/table-tennis/table-tennis-multisport/overview.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.