> For the complete documentation index, see [llms.txt](https://docs.polyquest.xyz/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.polyquest.xyz/prediction-oracle/prediction-oracle-system.md).

# Prediction Oracle System

<figure><img src="/files/CXqTlvy0xtWmslCl3Ocr" alt=""><figcaption></figcaption></figure>

The **Prediction Oracle System** is an essential part of Polyquest’s vision for a fully decentralized prediction platform that leverages the power of Web3 without relying on Web2 data sources, which can be prone to manipulation. The system evolves through three stages, each designed to empower users, reward collective intelligence, and expand the platform's capabilities to support external applications.

## **Key Principles**

* **Decentralization**: The oracle system removes reliance on centralized Web2 data sources by leveraging collective user action to determine the outcome of real-world events.
* **Transparency**: Every action within the oracle system is recorded on-chain, ensuring transparency and preventing manipulation.
* **Delegation of Power**: Both oracle participants (nodes) and governance groups share responsibility, ensuring that no single entity can control outcomes, preventing data corruption.


---

# 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:

```
GET https://docs.polyquest.xyz/prediction-oracle/prediction-oracle-system.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.