# DYORAI

<figure><img src="https://2587103496-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FO2dwPprSBcGIxOUuI7lH%2Fuploads%2FqjVjIv3MNhxn1eBp0UIR%2FBanner%201%20without%20text.png?alt=media&#x26;token=1bb50164-a9a3-4507-9606-ec7065871c3f" alt=""><figcaption></figcaption></figure>

The **DYORAI Tool** is a revolutionary research tool for the cryptocurrency market, designed to help investors make informed decisions by automating the time-consuming and complex process of conducting research on a particular cryptocurrency project. With just a click of a button, the **DYORAI** Tool provides users with all the fundamental and sentimental research they need to evaluate a project, saving them days of search time.

The fundamental research component of the tool gathers data on the cryptocurrency project's technology, team, roadmap, and financials. This includes information on the project's whitepaper, its development team and advisors, its roadmap and milestones, and its funding sources and allocation. The tool analyzes this data using natural language processing and machine learning algorithms, providing users with a comprehensive overview of the project's potential, strengths, and weaknesses.

The sentimental research component of the tool analyzes social media and news sentiment about the cryptocurrency project. It scours various online sources, including social media platforms, news sites, and forums, to gauge public perception and sentiment about the project. The tool uses natural language processing and sentiment analysis techniques to generate sentiment scores and sentiment trends, giving users a clear picture of the market sentiment surrounding the project.

Overall, the **DYORAI** Tool provides investors with an efficient and reliable way to evaluate cryptocurrency projects, ensuring they can make informed investment decisions. By leveraging the power of AI and machine learning, the tool can deliver comprehensive research on cryptocurrency projects in just one click, saving investors time, effort, and potential risks.


---

# Agent Instructions: 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://dyorai.gitbook.io/dyorai-whitepaper/overview/dyorai.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.