Kalshi Integrates Pyth Network for On-Chain Data Feeds
U.S. prediction market Kalshi teams up with Pyth Network to enhance data accuracy and real-time pricing.
- Kalshi partners with Pyth Network for real-time market data
- Integration boosts accuracy and decentralization in prediction markets
- Competes directly with Polymarket in the on-chain prediction space
Kalshi Taps Pyth for Real-Time Oracle Data
Kalshi, the first CFTC-regulated prediction market in the U.S., has announced a new partnership with Pyth Network to integrate decentralized, real-time market data into its platform. The collaboration is designed to strengthen Kalshi’s pricing infrastructure and bring on-chain transparency to its event-driven markets.
This move puts Kalshi in closer competition with platforms like Polymarket, which already operate natively in the Web3 space using oracles and blockchain-based settlement. By joining forces with Pyth, Kalshi can bridge TradFi compliance with DeFi infrastructure.
Why This Integration Matters
The Kalshi Pyth Network integration allows Kalshi to access real-time, high-frequency data directly from leading trading firms and exchanges—without relying solely on centralized APIs.
Benefits include:
- Improved data accuracy for market resolution
- Faster event settlements using decentralized inputs
- Greater transparency for traders and regulators
It also signals a growing trend: traditional platforms are beginning to adopt decentralized tools to improve their performance and credibility.
Prediction Markets Enter New Phase
With this integration, Kalshi is taking a key step toward on-chain credibility while maintaining its regulatory-first model. This hybrid approach could appeal to both institutional and crypto-native users looking for secure, data-rich prediction markets.
As interest in event-based trading grows—ranging from elections to economic indicators—Kalshi’s move positions it for the next wave of user adoption, especially as competitors like Polymarket continue expanding their Web3 reach.
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