Google to integrate Kalshi and Polymarket prediction market data
Google is preparing to bring real-time prediction market data directly into its finance products.
- Google is adding prediction market forecasts into search and finance.
- Data will come from Kalshi and Polymarket.
- This makes crowd-based expectations easier to check.
This new feature will open a new way for users to check crowd-driven forecasts on economic and political events.
The update was announced on Nov. 6 by Google Finance, with data from Kalshi and Polymarket set to appear in Google Finance and Google Search for Labs users over the coming weeks.
How it works in Google Search and Finance
Users will be able to type natural questions such as “Will the Fed cut rates in December?” or “What is the expected GDP growth for 2025?” and see live probabilities pulled from Kalshi and Polymarket. The interface will also show how the odds have shifted over time, similar to a price chart, giving a sense of how expectations have changed.
Kalshi supplies regulated U.S. event markets tied to things like inflation reports and policy decisions. Polymarket, which also runs on blockchain rails, covers a much wider range of global topics, from politics to sports to crypto prices. Both have seen rising activity this year, with more traders using prediction markets to track future outcomes rather than relying only on polls or analysts.
This update is part of a larger refresh of Google Finance, which is adding AI-driven search tools and real-time corporate earnings summaries. The goal is to make future expectations easier to explore, not just current or past prices.
Why this could matter for everyday users
Prediction markets work because participants have money on the line, which tends to produce tighter and faster feedback compared to opinion surveys. By placing these numbers inside Google’s search results, more people will encounter them naturally, not just traders or crypto users.
The change could make prediction markets feel less like a niche product and more like a normal source of reference, similar to stock quotes or economic calendars. With one search, users may soon be able to compare how investors, analysts, and market participants collectively see the months ahead.
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