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

# Welcome

SpendX is an innovative AI agent on Telegram, created in partnership with Visa and Google Cloud to revolutionize personal finance management. By blending advanced AI capabilities with Web3 incentives, SpendX turns everyday spending into a gamified experience, letting users earn rewards and engage with cryptocurrency effortlessly.

Simply share your income or expenses, and the AI agent takes over as your personal finance assistant. It provides emotionally engaging feedback, organizes your transactions into categories, and tracks your financial progress.

<figure><img src="/files/IY6Ak6g1GzrcuAWNJqAj" alt=""><figcaption></figcaption></figure>

### Why Telegram Mini App?

Telegram Mini App is an open platform for projects to build and deploy crypto-friendly apps. It provides access to 900M Telegram users.

Telegram Mini App has demonstrated significant potential in introducing cryptocurrencies to broader audiences through Tap-To-Earn games. These games have proven successful in attracting new users due to their easy accessibility and engaging mechanics. However, despite their initial appeal, they often lack the depth required to maintain long-term user engagement.

### Why SpendX?

SpendX aims to address this gap by merging traditional finance with Web3 and AI, not only offering a more sustainable and engaging user experience, but also setting a new standard for how consumers engage with cryptocurrency and everyday expenses while making Web3 adoption accessible and exciting for everyone.


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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:

```
GET https://docs.spendx.org/readme.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.