# Introduction

Scattering is a comprehensive data analytics and trading platform focused on the Web3 AI ecosystem. In a rapidly growing market, we offer four key advantages:

1. **Complete Project Index**
   * Coverage of both tokenized and pre-token AI Agent projects
   * Broader scope than competitors who only track launched tokens
2. **In-depth Analytics**
   * DeFiLlama-style adoption metrics
   * GitHub analytics and creation data
   * Beyond just social media metrics
3. **AI-Powered Tracking**
   * Automated project progress updates via LLM
   * Real-time market news generation
4. **Real-time Trading Tools**
   * Twitter CA monitoring for AI agent tokens
   * Quick discovery and trading of new tokens (within 1h)

In essence, we're building the go-to platform for discovering, analyzing, and trading Web3 AI projects.


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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://docs.scattering.io/introduction.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.