> For the complete documentation index, see [llms.txt](https://docs.pirat3.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.pirat3.ai/product/product-feature-breakdown/browser-extension.md).

# Browser Extension

The Pirat3 extension is

* Easily installable, consumers may choose to toggle on or off to enable or disable these hyperlinks or ads presented on their websites, and earn rewards while browsing.
* When the extension is active, articles and content on the web page will be automatically scanned with AI, keywords are then highlighted as hyperlinks are auto-generated with targeted keywords
  * i.g. In the context of exchange clients, the article would identify specific words and terms that are mentioned, including newly launched token pairs or novel trading products. These terms are marked and are clickable to lead users to designated links. These links are set up to guide users to the relevant landing page, making it easy to purchase tokens or access a new product directly. Additionally, an option is provided to seamlessly integrate the Publisher's referral ID, thereby enhancing engagement and profitability.
* Hashcash implementation (**Read-to-Earn**): a timer will be activated when plugin is enabled, measuring time spend on browsing content written by creator, more about this mechanism on: 

{% content-ref url="/pages/LaxJrU5LdG8j7Dtdl4eV" %}
[Read-to-Earn](/product-guide-for-consumers/read-to-earn.md)
{% endcontent-ref %}

* Bots will be deterred from spams and users who maliciously commit traffic fraud


---

# 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.pirat3.ai/product/product-feature-breakdown/browser-extension.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.