> For the complete documentation index, see [llms.txt](https://wikiagent.ai/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://wikiagent.ai/docs/quickstart-guide/welcome.md).
# Welcome
Ultimate AI-powered crypto analytics platform.
## 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.
## 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
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
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