> For the complete documentation index, see [llms.txt](https://alphaxbots.gitbook.io/alphaxbots/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://alphaxbots.gitbook.io/alphaxbots/abstract.md).

# Abstract

AlphaXBots is pioneering the era of ease in trading on cryptocurrencies onchain, it is achieving this by providing a suite of applications powered by an integrated AI model that provide profitable trading signals across different chains. It is currently available on both Ethereum and Base chains. This documentation provides an in-depth examination into the AlphaXBots ecosystem, its architecture, products and roadmap.

This resource will help you:

🔍 Understand how AlphaXBots works under the hood

⚙️ Learn how to leverage our AI-driven signals to optimize your trades

🚀 Get started with step-by-step onboarding instructions

🧠 Discover the core features that set AlphaXBots apart

📈 Stay ahead of the market using real-time alerts and on-chain insights

<br>


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# Agent Instructions
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## Querying This Documentation
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Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

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