Arc 🤝 Pyth: Real-time market data for pricing-sensitive apps on Arc

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How Arc builders can use Pyth price feeds on Arc testnet for lending, trading, FX, and settlement logic.

Sam Sealey

Price data becomes core infrastructure the moment your application logic depends on market state.

Arc is built for financial applications like payments, lending, capital markets, and FX. In those products, price is not just informational. It decides whether collateral is sufficient, whether a liquidation should trigger, whether an FX quote is still valid, and whether a transaction should settle at all.

Pyth gives Arc builders a way to bring that data onchain.

Why this matters on Arc

Pyth adds real-time, first-party price feeds to the Arc builder stack. That matters because the applications Arc is targeting are pricing-sensitive by default.

A trading app needs a current reference price.

A lending market needs current collateral values and liquidation thresholds.

An FX or treasury product needs rates it can use inside contract logic, not just on a dashboard.

That is the real value here. Pyth helps Arc builders treat pricing as part of the application itself.

What builders can use it for

The clearest starting point is any product where price gates a transaction or changes the outcome of a contract call.

A few examples:

Collateral checks in lending flows

Liquidation and risk logic

Trading and margin systems

Onchain FX quoting and conversion

Treasury actions tied to market conditions

Settlement flows that depend on a current market reference

This is also a good fit for builders who need more than a couple of crypto pairs. Pyth supports feeds across crypto, equities, FX, metals, and more, which is useful for teams building financial products that need broader market coverage.

How to use Pyth on Arc

The integration path is straightforward.

Choose the price feeds your application needs.

Use the Pyth contract address published for Arc testnet.

Fetch the latest price update data and pass it into the contract method that needs the price.

In the contract, update the feed and then read the current value.

In practice, that means wiring Pyth into the exact contract call where the price matters. That keeps price freshness tied to the transaction itself, which is usually the right model for financial applications.

On the contract side, the standard EVM flow uses Pyth's Solidity SDK and the core methods for updating and reading prices:

`getUpdateFee`

`updatePriceFeeds`

`getPriceNoOlderThan`

Learn More and Get Started

Start with the Arc oracle docs, then move into Pyth's Arc-compatible EVM docs:

Arc Oracles

Pyth EVM contract addresses

Pyth real-time data in EVM contracts

Reliable pricing is basic infrastructure for onchain finance. Pyth gives Arc builders a direct way to add that layer on Arc. Tell us what you’re building below.

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