Google Integrates Polymarket, Kalshi Market Probabilities Into Search Results

What is Google adding to search?

Google Finance will integrate prediction market data from Polymarket and Kalshi directly into search results, bringing real-time probabilities to a mainstream audience. The rollout begins over the coming weeks, first to Labs users, with Google saying the feature lets people “ask questions about future market events and harness the wisdom of the crowds.” Users will view current odds in the search box along with historical changes, putting market-implied views on politics, sports, business and other topics a query away.

The move formalizes a feed from the two most prominent platforms in the category. It arrives as election, macro and sports contracts drive record traffic to prediction venues and as market data becomes a consumer product in its own right. For Google, the tie-in extends Finance’s coverage beyond prices and news into probability streams that many traders already consult on specialist sites and social feeds.

Investor Takeaway

Why now—and who benefits?

Polymarket’s activity hit all-time highs in October across monthly volume, active traders and new markets, according to prior reporting from The Block. The platform also drew a fresh , pegging its valuation near $9 billion. Rival $300 million at a $5 billion valuation and has been pushing listings that span macro data, policy and culture. A Bernstein note earlier today said prediction venues are shifting into broader information hubs that sit between crypto platforms, sportsbooks and traditional data vendors.

Google’s distribution can lift order flow for both firms. Polymarket expects to re-enter the United States by the end of this month, a step that could accelerate with one-click routing from search. told The Block the market “should be available on every large crypto application and platform within the next 12 months,” a stance that aligns with syndicated placement inside major consumer apps.

For traders, odds embedded in search reduce the time between headline and trade, and create a reference point that retail and institutions can cite in the identical way they cite spot prices or index levels. For publishers, the feed offers a standardized metric of crowd expectations that can sit alongside polls and analyst forecasts.

Will Google’s feed change market structure?

Real-time probabilities in search can deepen liquidity but also expose pricing to quicker swings when headlines hit. The effect is similar to what happened when brokerages embedded options chains and implied vol tools in retail dashboards: spreads narrowed in the most trafficked underlyings, and information moved earlier in the day. Prediction markets could view a comparable curve, with top contracts settling into tighter bands while tail markets remain thin.

The integration also tightens the link between on-chain and off-chain users. Polymarket runs on crypto rails; rules. A single discovery layer means cross-venue arbitrage may grow, especially where event definitions overlap. The more Google surfaces historical charts, the easier it becomes to back-test how odds reacted to polls, CPI releases or earnings, inviting quant styles that have been common in equities and FX for years.

Investor Takeaway

What’s next for tokens and U.S. access?

A Polymarket executive recently confirmed there will be a POLY token and an airdrop plan. Visibility inside Google increases potential reach ahead of any launch and could draw more non-crypto users to wallets and bridges. Kalshi, meanwhile, has pursued listed, regulated markets and distribution hooks into crypto apps; wider placement through Google would complement that push.

The near-term milestones are straightforward: Google’s phased rollout to Labs users, Polymarket’s planned return to the U.S., and continued fundraising across the sector. If search-level odds become a daily habit, the category moves from niche dashboards to a default reference—useful to traders tracking catalysts, analysts writing previews, and consumers who want a quick read on the likelihood of an outcome.