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Home DEFI

Pyth Network Teams Up With Kalshi to Bring Real-Time Prediction Data Onchain — Here Is Why It Matters

Michael Juanico by Michael Juanico
October 13, 2025
in DEFI, FINANCE, OPINION
Reading Time: 3 mins read
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  • Pyth Network partners with Kalshi to bring real-time regulated prediction data onchain.
  • Enables accurate, event-based DeFi trading and analytics.
  • Marks the first major integration of regulated market data into blockchain oracles.

The collaboration marks the first large-scale integration of regulated event data into blockchain oracles.

Pyth Network, one of the leading blockchain oracle providers, has announced a new partnership with Kalshi, a CFTC-regulated prediction market platform, to deliver real-time event data directly onchain. The move represents a major step in merging traditional regulated markets with decentralized finance, giving onchain traders and developers access to accurate, real-time prediction data for the first time at scale.

Pyth Network Teams Up with Kalshi to Bring Real time Prediction Data Onchain Here is Why It Matters

According to Pyth, this collaboration will make Kalshi’s event market data — which covers political, economic, and financial outcomes — available across its oracle network. This integration will enable onchain analytics, trading, and smart contract automation based on verified, regulated market signals. It’s a significant leap forward in data transparency for decentralized applications and institutions building around event-driven products.

Bringing Regulated Data to DeFi

Pyth said the collaboration marks the first instance of regulated event data being streamed onchain at a large scale. By distributing Kalshi’s data feeds through Pyth’s infrastructure, developers can now build prediction and derivatives products that respond to verified market events — without relying on speculative or crowdsourced data.

This advancement could reshape how DeFi protocols, hedging instruments, and market forecasting tools operate, allowing for instant synchronization between traditional event markets and blockchain-based platforms. It also reinforces Pyth’s expanding role as a bridge between institutional-grade data providers and the onchain ecosystem.

Kalshi’s Growing Network of Partnerships

Kalshi’s partnership with Pyth follows several recent strategic moves aimed at broadening access to event-based trading insights. The platform recently collaborated with TrendSpider, integrating its data into technical analysis tools for more accurate event-driven predictions.

For Pyth, this deal builds on its own expansion efforts. The oracle network recently launched continuous U.S. equity price feeds across multiple blockchain networks, helping decentralized apps tap into live market data without intermediaries.

Pyth Network Teams Up with Kalshi to Bring Real time Prediction Data Onchain Here is Why It Matters

The Bigger Picture

This collaboration signals a clear trend: the blurring line between traditional finance and decentralized data infrastructure. With Pyth now carrying regulated prediction market feeds, developers and traders can interact with real-world event data — from elections to inflation reports — directly through smart contracts.

It’s a fusion of reliability and decentralization that could redefine how markets react to global events in real time.

Disclaimer: BlockNews provides independent reporting on crypto, blockchain, and digital finance. All content is for informational purposes only and does not constitute financial advice. Readers should do their own research before making investment decisions. Some articles may use AI tools to assist in drafting, but every piece is reviewed and edited by our editorial team of experienced crypto writers and analysts before publication.
Tags: BlockchainDeFiKalshiOraclepredictionPyth
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Michael Juanico

Michael Juanico

Michael is a BSBA Management graduate from Mindanao State University and has been a professional content writer since 2019. He began exploring cryptocurrency in 2021 and has since made blockchain and digital assets his primary focus. For nearly four years, Michael has contributed research and editorial content at Aiur Labs and BlockNews, producing clear and accessible coverage of market trends, trading strategies, and project developments. He is transparent about his personal holdings in Bitcoin, TRON, and select meme tokens, combining writing expertise with hands-on market experience to deliver trustworthy insights to readers.

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