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

# What is Uncaged?

Introducing Uncaged, the AI-powered Telegram bot set to augment the betting industry.\
\
We want to offer the best experience to sports betting users through a combination of solutions:

* [Telegram](/uncaged/tech/telegram.md)-based Bot, with a premium on accessibility and UI/UX experience, making sure even not-crypto savvy users can enjoy our platform.
* [AI-enhaced prediction](/uncaged/tech/prediction-model.md), through an ever-evolving and fine-tuned model, with the added possibility of onboarding new "predictors" while expanding to any sport.
* [Account abstraction](/uncaged/tech/account-abstraction.md), offering everyone a layer of safety, and abstracting the need for chain-specific gas through our integrations.

In the earliest stages, we will focus on MMA matches, but... we aim to become more than just a betting bot, expanding to new sports, PVP minigames, and tailored sports datasets.<br>

This documentation will go into detail on how the platform works from both a technical and practical perspective, alongside information on the token and rev model.


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# Agent Instructions
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## Querying This Documentation
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Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

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GET https://docs.uncaged.bet/uncaged/overview/what-is-uncaged.md?ask=<question>&goal=<user_goal>
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