> For the complete documentation index, see [llms.txt](https://docs.gravity.xyz/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.gravity.xyz/legacy-alpha-mainnet-l2/pyth-price-feeds.md).

# Oracles (legacy L2)

> **Legacy.** This page documents third-party oracle integrations from the legacy **Gravity Alpha Mainnet (L2)**. **Gravity Mainnet (L1)** is integrating a range of oracle services; for now the protocol-level [**Native Oracle**](/research-and-development/native-oracle.md) — validator-attested external data with consensus-grade security — is supported by default.

## Overview

Blockchain oracles act as bridges between smart contracts and real-world data. They provide essential off-chain information such as price feeds, random numbers, and event outcomes that blockchains cannot access natively. Oracles vary in design, with some using push models (regular on-chain updates) and others using pull models (on-demand data requests). The quality of an oracle is measured by its speed, accuracy, cost-efficiency, and security against manipulation.

## Third-Party Oracles

### Pyth

The [Pyth Network](https://pyth.network/) is the largest first-party Oracle network, delivering real-time data across [a vast number of chains](https://docs.pyth.network/price-feeds/contract-addresses). Pyth introduces an innovative low-latency [pull oracle design](https://docs.pyth.network/documentation/pythnet-price-feeds/on-demand), where users can pull price updates on-chain when needed, enabling everyone in the blockchain environment to access that data point most efficiently. Pyth network updates the prices every 400ms, making Pyth the fastest on-chain oracle.

Users can also opt to use push model oracles through Pyth by running a [scheduler](https://docs.pyth.network/price-feeds/schedule-price-updates/using-scheduler).

Pyth Oracle Features:

* 400ms latency
* Most efficient and cost-effective Oracle
* [First-party](https://pyth.network/publishers) data sourced directly from financial institutions
* [Price feeds ranging from Crypto, Stock, FX, Metals](https://pyth.network/developers/price-feed-ids)
* [Available on all the largest chains](https://docs.pyth.network/price-feeds/contract-addresses)

Check out the following links to get started with Pyth.

* [Pyth EVM Integration Guide](https://docs.pyth.network/price-feeds/use-real-time-data/evm)
* [Pyth Docs](https://docs.pyth.network/home)
* [Pyth API Reference](https://api-reference.pyth.network/price-feeds/evm/getPrice)
* [Pyth Examples](https://github.com/pyth-network/pyth-examples)
* [Pyth Price Feed Ids](https://pyth.network/developers/price-feed-ids)
* [Website](https://pyth.network/)
* [Twitter](https://x.com/PythNetwork)


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