Jupiter is launching a native prediction market on Solana powered by Kalshi data, enabling yes/no bets on real-world events with on-chain settlement. Prices update in real time, and resolutions occur on-chain after events conclude, expanding Jupiter beyond swaps and liquidity aggregation for retail traders.
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Native prediction markets on Solana powered by Kalshi data: Jupiter integrates real-world event resolution with on-chain trading, bringing transparent pricing and liquidity to the new product).
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Beta launch focused on sports events: The initial market tests the Mexico Grand Prix winner with yes/no tokens and live price discovery.
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Market momentum driven by micro-betting trends: Industry data suggests growing retail interest and potential revenue growth into 2025 and 2026, supported by on-chain reporting and data liquidity.
description: Jupiter launches a native prediction market on Solana powered by Kalshi data, delivering real-time on-chain bets with transparent resolutions—read the update now.
What is Jupiter’s native prediction market powered by Kalshi data?
Jupiter’s latest product introduces a native prediction market within its Solana ecosystem, built on Kalshi data partnerships. This feature allows traders to buy and sell tokens that represent “yes” or “no” outcomes on defined events, with prices fluctuating as traders express opinions about event likelihood. When an event resolves, on-chain mechanisms determine the final outcome and settle token positions accordingly. The market is designed to be fully transparent, leveraging real-time price feeds and on-chain settlement to minimize counterparty risk and provide auditable results. In short, it combines Jupiter’s strengths in aggregation and liquidity with Kalshi’s data-driven event resolution to create a new form of DeFi-native prediction trading.
How Kalshi data powers the new market and what it means for Solana users
Kalshi data supplies the event definitions and resolution standards for the Jupiter prediction market, enabling a consistent and reliable basis for price discovery. For Solana users, this means access to short-duration, event-driven bets that settle on-chain, with transparent performance metrics and auditability. The approach aims to deliver lower latency in pricing and improved liquidity by tapping Kalshi’s event data and market design expertise, while keeping the trading experience native to the Jupiter app on Solana.
Frequently Asked Questions
What is the minimum bet size for Jupiter’s Kalshi-powered prediction market?
The beta rollout supports straightforward, low-value bets to encourage onboarding and liquidity building. Traders can participate with modest token stakes, allowing broad retail access while the platform scales its order books and settlement reliability. Exact minimums and fee structures are published within the app as the beta progresses and liquidity deepens.
How does this platform address resolution and oracle considerations for on-chain bets?
The system relies on Kalshi-provided event definitions and resolution criteria, paired with Jupiter’s on-chain reporting. By using established data standards and transparent pricing, the market aims to minimize disputes. Community discussions and independent audits help validate that resolutions align with Kalshi’s event outcomes and the on-chain settlement rules.
Key Takeaways
- Kalshi data drives the new prediction market: Event definitions and resolution standards are anchored in Kalshi data, enabling reliable on-chain outcomes.
- Beta focuses on sports events with yes/no tokens: The initial test targets the Mexico Grand Prix winner, offering straightforward binary bets and real-time price updates.
- Retail-friendly micro-betting trend supports growth: Short-duration markets and transparent on-chain reporting are expected to attract more retail traders, potentially boosting volumes in 2025–2026.
Conclusion
The Jupiter-Kalshi integration marks a notable step in bringing native, on-chain prediction markets to Solana. By combining Kalshi’s data-driven resolution with Jupiter’s liquidity and aggregation capabilities, the platform aims to deliver transparent, fast, and accessible event-based trading for a broad audience. As the beta matures and more event classes are added, observers will watch for liquidity convergence, pricing efficiency, and user adoption—all key indicators of the model’s long-term viability. For readers seeking ongoing updates, stay tuned to how Solana-based prediction markets evolve alongside traditional and crypto-native forecasting tools.
