> 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/datacore/sports-apis/baseball/datacore-api-v1/introduction/character-sets-and-names.md).

# Character Sets and Names

All data sent as both body and query parameters should be in the UTF-8 character set. All data returned will also be in UTF-8 strings.

A number of fields (especially names) have both a *local* and *latin* variant. The *local* variant is the string as it would be written in the local language of the organization. The *latin* variant is the string as it would be written, only using latin characters/alphabet. Character sets like Cyrillic, Chinese are valid for the *local* string but not the *latin* string. Regardless of the name, all strings should still be sent using UTF-8.


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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://docs.sportradar.com/datacore/sports-apis/baseball/datacore-api-v1/introduction/character-sets-and-names.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.