> For the complete documentation index, see [llms.txt](https://build.intract.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://build.intract.io/users-hub/ai-agents/warden-your-privacy-agent.md).

# Warden: Your Privacy Agent

Imagine you join a new app—like one for rides or games. You skip the “Terms & Conditions” because it’s long and boring. But buried in there, the app gets permission to grab your emails, watch what you browse, or share your location with others. Soon, you’re hit with annoying ads or weird emails. Sound like something you’ve seen?

You’re not alone. **More than 60% of people** don’t read those terms, but in 2022, **almost 422 million personal records** got exposed in data breaches (says the Identity Theft Resource Center). It’s not just spam—sometimes it’s serious stuff like your address, credit card, or even doctor records getting out

### What Warden Does

**Reads Terms for You:** Warden quickly scans the confusing “Terms & Conditions” and tells you simply: “This app wants your contacts and location all the time. Okay with that?” If you say “No,” Warden stops it for you.

**Stops Old Apps:** That budgeting app you forgot about? It might still be snooping on your bank. Warden finds these sneaky connections and lets you cut them off fast.

**Checks the Dark Web:** If your password or credit card info is being sold online, Warden warns you right away—no waiting until weird charges show up.

**Easy Privacy Check:** Warden gives you a clear list of who’s using your data. If something looks off—like a game tracking your location—you can stop it with one tap


---

# 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://build.intract.io/users-hub/ai-agents/warden-your-privacy-agent.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.
