$PYTH and $LINK Comparison
• DATA PROVIDERS
- PYTH
Pyth’s data comes from financial institutions in the traditional finance and crypto industries. These include CBOE, Jane Street, Susquehanna, Two Sigma, LMAX, Wintermute, Binance, OKX, Kucoin, and more.
- CHAINLINK
Chainlink’s data comes from relayers (often referred to as node operators). These node operators come from DevOps teams from firms such as 01node, Artfactstakin, Inotel, StakeFish, LinkPool, and more.
• DATA SOURCE
- PYTH
Pyth uses first-party data that comes from exchanges, trading firms and financial institutions.
- CHAINLINK
Chainlink sources some data from exchanges like Kraken and Huobi, but primarily from third-party data aggregators like BraveNewCoin, CoinMarketCap and CoinGecko to deliver price feeds.
• DATA FIDELITY
- PYTH
Pyth publishes aggregated price and Confidence Intervals (CI) for all price feeds. These intervals are a certainty measure of the “true” price of the asset since assets can trade at different prices in different venues.
- CHAINLINK
Chainlink publishes the median price from its data sources once the minimum number of node reporters have reported a price.
• CIRCUIT BREAKER
- PYTH
Pyth does not use price triggers to prevent certain prices from being pushed. Pyth uses Confidence Intervals to ensure continuous price availability. This allows projects to consume Pyth’s price feeds during the most volatile market conditions.
- CHAINLINK
Chainlink does use price triggers with an accepted bound established when a feed is created. This can prevent protocols from updating correctly during the most volatile market conditions.
For more details, visit here https://pyth.network/pyth-vs-chainlink