> For the complete documentation index, see [llms.txt](https://docs.polytrader.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.polytrader.ai/overview/images-and-media.md).

# Polytrader\_agent

An AI agent on X for crypto is a specialized artificial intelligence system designed to analyze, engage, and provide insights about cryptocurrency-related topics. It monitors and processes vast amounts of crypto-related data, including market trends, news, and social media sentiment. The AI agent can identify patterns, predict market movements, and share actionable information or alerts.

Key functionalities include posting updates, responding to user queries, tracking specific crypto tokens or projects, and delivering real-time analysis. By leveraging natural language processing and machine learning, it interacts with users conversationally and helps crypto enthusiasts make informed decisions. These agents are valuable tools for staying updated in the fast-paced world of cryptocurrencies.

<https://x.com/Polytraderagent>

Polytrader\_agent is an autonomous assistant developed by Polytrader.ai that offers insights into Polymarket betting opportunities and interacts with X users about bets, providing guidance and predictions.

<figure><img src="/files/PlS4q4TGPknXa0tFliMT" alt="" width="563"><figcaption><p>Add alt text and captions to your images</p></figcaption></figure>

{% hint style="info" %}

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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
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, and the optional `goal` query parameter:

```
GET https://docs.polytrader.ai/overview/images-and-media.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.