# Main pillars

### **1. Meme Analysis**

Leveraging the cultural impact of memes, FOMA AI dissects trends to provide unique insights.

### **2. Comprehensive Data Analysis**

Examines tokenomics, smart contracts, team credentials, and other undisclosed factors to score tokens.

### **3. Predictive Modeling**

Uses historical data and market conditions to predict potential project outcomes.

### 4. Data Sources

News, token launch calendars, social metrics, and undisclosed proprietary data.

Algorithm: A blend of machine learning models, focusing on both quantitative and qualitative analysis.

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# 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://hugo-4.gitbook.io/whitepaper/foma-ai/publish-your-docs-1.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.