Kalshi is partnering with brokerage infrastructure provider Alpaca to expand access to its event contracts outside the US.

The deal comes as financial infrastructure firms increasingly add Kalshi’s contracts to their platforms. Finance Magnates reported that Alpaca recently registered as an FCM with the CFTC, while Apex launched an API allowing brokers and fintech firms to offer Kalshi contracts without building their own FCM infrastructure or direct exchange connectivity.

Kalshi Gains Alpaca’s Global Brokerage Network
Tony Lee, Alpaca’s chief brokerage officer, Source: LinkedIn

Under the new agreement, financial institutions using Alpaca’s technology will be able to offer Kalshi contracts through their existing brokerage infrastructure. Availability will remain subject to regulatory approval in each market.

Tony Lee, Alpaca’s chief brokerage officer, said customer demand was behind the company’s move into prediction markets.

“Our mission is really to open up financial services to as many people around the world as possible,” Lee said. “You really have to go where the customer demand is.”

Alpaca works with more than 300 financial institutions and reaches around 14 million brokerage accounts globally. Kalshi said the network could help support its entry into additional markets.

Kalshi is partnering with brokerage Alpaca to bring prediction markets to a global audience: Alpaca reaches 14 million brokerage accounts across more than 300 financial institutions worldwide, giving Kalshi a path to international expansion https://t.co/GYfXmq4klO pic.twitter.com/2Ig3N1FpfK

— Quartz (@qz) August 31, 2026

Alpaca API Supports Kalshi’s Expansion

“They’re a trusted brand, they’re technology forward,” Kalshi Vice President of Business Development Max Crowley said. “This technical partnership enables that.”

Kalshi has also expanded through other financial firms. In June, it partnered with Canadian financial firm Wealthsimple to offer its markets in Canada.

Alpaca’s API has about 83,000 monthly users and allows developers to build trading applications. Its infrastructure could also support automated trading activity in prediction markets.