Pyth is a first-party oracle network that delivers real-time, high-fidelity financial market data directly on-chain. It sources price data from major exchanges and trading firms to provide sub-second updates.
Why it matters on AGON
AGON's sports markets resolve using our internal OracleDAO pipeline for event outcomes. Financial data is a different beast. For our crypto-based markets at /markets/crypto, data integrity is absolute. We require price feeds that are fast, accurate, and resistant to manipulation.
Pyth is a key infrastructure provider we monitor for this purpose. While not currently integrated for market resolution, its high-frequency data model is the benchmark for any serious on-chain financial application. Accurate price data is non-negotiable for collateral valuation and potential future DeFi integrations.
How to apply
Pyth operates on a "pull" model. Data providers continuously publish prices off-chain, and users pay a small gas fee to "pull" the latest price on-chain precisely when needed for a transaction. This contrasts with the "push" model of oracles like Chainlink, which update on-chain feeds at fixed intervals.
The key metric to watch is the confidence interval published alongside each price. A wide interval signals high volatility or disagreement among data sources. Executing a large trade against a price with a wide confidence interval is a good way to get rekt. A tight interval signals a high-conviction, stable price.
See also
on-chain · off-chain · layerzero · axelar
Trading prediction markets involves risk. Not financial advice.