> For the complete documentation index, see [llms.txt](https://docs.kleva.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.kleva.io/kr-2025-08/kleva-ai-2/ai-infofi.md).

# AI 기반 InfoFi

AI Based-InfoFi Platform은 정보 제공과 평판, 영향력, 그리고 지속적인 이벤트 참여에 대해 인센티브를 부여하는 구조로 설계되었습니다.

InfoFi 구조 위에서 모든 참여자는 기여도에 따라 투명하게 보상을 받습니다.

Kleva AI는 InfoFi를 통해 외부 인프라와 협력하여, 광고비 → 참여자 보상 → 투명한 정산이 이루어지는 신뢰 가능한 광고 인센티브 생태계를 구축합니다.

<figure><img src="/files/MXyUAKpsSFW5dYUjYm9h" alt=""><figcaption></figcaption></figure>


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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.kleva.io/kr-2025-08/kleva-ai-2/ai-infofi.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.