# Welcome

## What is WikiAgent?

WikiAgent is a comprehensive ecosystem of AI-powered products, purpose-built to optimize and elevate your on-chain trading experience. Powered by the deep search capabilities of leading-edge models such as GPT-4o, Grok 3, DeepSeek, and Gemini, these products set a new standard in AI-driven analysis.

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## What we are solving

As cryptocurrency adoption advances, the amount and sophistication of newly deployed tokens are accelerating at an exponential rate, making it more complex for average users to come up with a decision. When considering the purchase of a new token, retail investors must assess numerous factors, such as smart contract vulnerabilities, trading volume, fundamental and technical indicators, social sentiment, and more. This fragmented process compels traders to spend excessive time gathering information across multiple platforms, often causing them to miss early opportunities captured by insiders and first movers.

This is where WikiAgent emerges to address the challenge. Our vision is to change this dynamic by placing advanced AI models, intuitive interfaces, and intelligent narratives at the core of crypto analysis. WikiAgent processes user requests by aggregating real-time data from multiple trusted sources, delivering a comprehensive overview of **ANY** token through a streamlined and intuitive interface.

WikiAgent is set to support over 100 blockchains, including leading networks such as Ethereum, Solana, BNB Chain, Base, and HyperEVM, ensuring broad accessibility for users. Expansion to additional blockchains is planned, alongside the development of advanced AI and yield-focused products outlined in our [roadmap](/docs/quickstart-guide/roadmap.md).

Interested in helping us build a world-class AI-driven analysis platform? Join our community and make your voice heard - we actively welcome feedback in our [Telegram](https://t.me/wikiagent).


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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://wikiagent.ai/docs/quickstart-guide/welcome.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.