Sportsbook solutions supplier DATA.BET has expanded its Prediction Markets offering with a new crypto-focused “Up or Down” market type, alongside new data widgets and API integration.
The supplier launched Prediction Markets as a standalone betting product in April 2026. The latest update adds shorter-term crypto markets, live and historical data widgets for Crypto and Finance, and API access alongside its existing Frame deployment.
The new Up or Down markets open with a price target and allow players to bet on whether an asset will move up or down at standard decimal odds. Markets settle across five timeframes: five minutes, 15 minutes, one hour, four hours, and daily.
The shorter settlement cycles are designed to create more frequent betting opportunities within a session, without relying on sports schedules. They complement DATA.BET’s longer-term political and economic prediction markets.
A dedicated widget shows the live asset price, target line, and countdown to settlement. Crypto and Finance markets also provide live and historical data for assets, including Bitcoin, Ethereum, gold, and oil.
Probability history widgets, covering one day, one week, one month, and all-time periods, are now available across all categories. Volume figures and market resolution conditions are also displayed before each market opens.
DATA.BET has also added API access to Prediction Markets, alongside the previously available Frame deployment. Operators already connected to DATA.BET can activate the offering using their existing odds feed credentials and Sport Events API, without a separate integration project.
The update also includes system optimisation, content management improvements and continued development of the liquidity module, aimed at improving market stability and turnaround as the product expands.
“Prediction Markets was built to give operators a fast-moving, always-on offering that runs independently of the sports calendar,” said Rostyslav Likhtin, Head of Product at DATA.BET. “We’re making it faster to trade, easier to read, and easier to deploy, and this is only the first step in how far we’re taking this.”