# Oracle

## Price Oracle <a href="#price-oracle" id="price-oracle"></a>

The platform uses a MakerDAO-inspired whitelisted oracle. The oracle currently has five independent operators and may be easily extended into a decentralized, self-sustainable network. For a price to be reported on-chain, the majority of oracles must propose the current price within a tight range.

Relevance of the price is less than 1 minute.

In the future, the DAO will consider adding other robust oracle solutions supported on NEAR, such as Flux.

The oracle code can be found here:

* [Smart Contract](https://github.com/NearDeFi/price-oracle)
* [Price Updater Bot](https://github.com/NearDeFi/near-price-oracle-bot) (system service)

### Pyth Oracle <a href="#pyth-oracle" id="pyth-oracle"></a>

The [Pyth Network](https://pyth.network/) is a first-party financial data oracle network that delivers low-latency price data for various assets to blockchains securely.

The Pyth protocol aggregates the data providers' inputs to produce a single aggregate price and confidence interval every 400ms for each price feed. This aggregation mechanism lives on an application-specific blockchain called Pythnet.

Pyth Network introduces a unique architecture called the Pull Oracle. With the Pull Oracle design, data users can “pull” or request a price update from the Pyth protocol when needed.

Learn more, refer to the [Pyth documentation](https://docs.pyth.network/home).<br>


---

# Agent Instructions: 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://guide.rhea.finance/near-chain-guides/lending-and-borrowing/how-lending-and-borrowing-works/oracle.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.