Prediction markets are spreading beyond the platforms that defined the category.
FinFeedAPI has added three new integrations to its Prediction Markets API:
- Gemini Prediction Markets (
GEMINIPM) - Pascal (
PASCAL) - Crypto.com Prediction Markets (
CRYPTOCOMPM)
The additions bring three different approaches to event markets into the same data ecosystem, from exchange-integrated retail contracts to decentralized infrastructure and regulated event trading.
They join existing FinFeedAPI coverage of Polymarket, Kalshi, Myriad, Manifold, and Hyperliquid Outcome Markets.
A few years ago, prediction markets were still a relatively narrow category. Today, the market looks very different. Traditional exchanges, crypto platforms, decentralized protocols, and regulated derivatives venues are all experimenting with markets built around future outcomes.
The three latest additions to FinFeedAPI show just how different these platforms can be.
Gemini Prediction Markets (GEMINIPM)
Gemini brings prediction markets directly into its existing exchange environment.
Its event contracts use a straightforward binary structure: contracts settle at $1 for the correct outcome and $0 for the incorrect outcome, while traders can close positions before settlement.
The interesting part is where these markets live.
Prediction trading is integrated into the broader Gemini ecosystem, allowing existing users to access event contracts without moving to a separate prediction-market platform or setting up a Web3 wallet.
Gemini's markets focus on areas including macroeconomic indicators, interest-rate decisions, crypto policy, and political events.
For developers and researchers, GEMINIPM adds another exchange-native source for observing how market participants price future events.
Pascal (PASCAL)
Pascal takes a different route.
Rather than designing primarily for casual event trading, the protocol is positioned around high-performance market infrastructure and institutional use cases.
Its architecture uses an order-book model designed to resemble the experience of trading more traditional financial instruments, with an emphasis on liquidity, execution, and advanced trading workflows.
That makes Pascal particularly interesting from a market-data perspective.
Prediction markets are increasingly useful not only for asking "Will this happen?" but also for expressing and hedging exposure to economic, financial, and commercial outcomes.
PASCAL expands FinFeedAPI coverage further into this emerging side of the prediction-market ecosystem.
Crypto.com Prediction Markets (CRYPTOCOMPM)
Crypto.com approaches the category from another direction: large-scale consumer distribution combined with regulated event contracts.
Its prediction contracts are offered through Crypto.com | Derivatives North America (CDNA), a CFTC-regulated exchange.
Contracts use fixed settlement mechanics, with a maximum $1 payout per contract.
The platform covers a broad range of events, including politics, economic indicators, sports, and popular culture.
This creates an interesting combination: prediction markets presented through a familiar consumer platform while the underlying contracts operate through regulated market infrastructure.
With CRYPTOCOMPM, developers can now include Crypto.com's prediction-market activity alongside other venues already available through FinFeedAPI.
Eight Prediction Market Integrations, One API
With the latest release, FinFeedAPI Prediction Markets API coverage now includes:
- Polymarket
- Kalshi
- Myriad
- Manifold
- Hyperliquid Outcome Markets
- Gemini Prediction Markets (
GEMINIPM) - Pascal (
PASCAL) - Crypto.com Prediction Markets (
CRYPTOCOMPM)
… new exchanges will be available soon!
That coverage matters because prediction markets increasingly need to be analyzed as a multi-venue dataset.
A political event may trade on several platforms. A macroeconomic outcome may attract different audiences on Gemini, Kalshi, or Crypto.com. The same real-world event can therefore produce different prices, liquidity, and market behavior depending on where it trades.
Looking across venues can help developers and researchers study those differences instead of relying on the view from a single platform.
More Markets Without More Integrations
Adding another prediction-market venue shouldn't require rebuilding an entire data pipeline.
FinFeedAPI standardizes data from supported prediction-market platforms behind a common API, making it easier to build applications and datasets that span multiple exchanges.
That opens the door to cross-platform market monitoring, historical research, forecasting models, AI agents, market comparison tools, and applications that need a broader view of how expectations are changing across the prediction-market ecosystem.
Gemini, Pascal, and Crypto.com are now part of that coverage.
Explore the Prediction Markets API, create a free API key, and start building with complete, normalized prediction market data today.
Related Topics
- Tracking Hyperliquid HIP-4: How to Connect Outcome Markets to Your Crypto Projects
- What Are Hyperliquid Outcome Markets? HIP-4 Prediction Contracts Explained
- Prediction Markets: Complete Guide to Betting on Future Events
- Markets in Prediction Markets
- Hyperliquid HIP-4 vs. Polymarket and Kalshi: How Outcome Markets Compare
- Modeling Bounded Options via HIP-4 Multi-Outcome Streams
