How to Integrate Prediction Market Feeds into a Betting Platform
A practical guide for iGaming operators on integrating prediction market data feeds — covering API patterns, odds formats, market lifecycle management, and real-time pricing updates.
Integrating prediction market feeds into an existing betting platform requires connecting to a prediction market API, mapping event data to your platform's data model, handling real-time price updates, and managing the full market lifecycle from creation to resolution.
The Integration Architecture
A typical integration sits between your existing sportsbook/casino platform and a prediction market provider's API. The flow looks like this:
- Market Discovery — Pull available markets and categories from the feed
- Odds Mapping — Convert prediction market probabilities to your platform's odds format (decimal, fractional, American)
- Real-Time Pricing — Subscribe to WebSocket or SSE streams for live price changes
- Order Routing — Send customer bets to the prediction market engine for execution
- Settlement — Receive resolution events and trigger payouts in your system
API Connection Patterns
Most prediction market APIs offer two connection models:
REST API (Pull-Based)
Best for: Initial market loading, historical data, settlement reconciliation.
You poll endpoints like /markets, /markets/{id}/prices, /markets/{id}/trades on a schedule. Simple to implement but introduces latency — prices could be 5-30 seconds stale depending on your polling interval.
WebSocket / SSE (Push-Based)
Best for: Live pricing, real-time market state changes, order confirmations.
You subscribe to price channels and receive instant updates when market prices move. This is essential for any platform displaying live odds — stale prediction market prices create arbitrage risk and a poor user experience.
Most production integrations use both: REST for initial hydration and backfill, WebSocket for real-time updates.
Odds Format Conversion
Prediction markets express prices as probabilities (0.00 to 1.00). Betting platforms need standard odds formats:
| Probability | Decimal | Fractional | American |
|---|---|---|---|
| 0.75 | 1.33 | 1/3 | -300 |
| 0.50 | 2.00 | 1/1 | +100 |
| 0.25 | 4.00 | 3/1 | +300 |
The conversion: Decimal odds = 1 / probability. But you'll also need to apply your platform's margin (vigorish) on top, which shifts the raw probabilities.
Market Lifecycle Management
Prediction markets have different states than traditional sports events:
- Open — Accepting trades, prices fluctuating
- Suspended — Temporarily paused (e.g., breaking news causing extreme volatility)
- Closed — No new trades, awaiting resolution
- Resolved — Outcome determined, settlement triggered
- Voided — Market cancelled, all positions refunded
Your integration needs to handle each state transition and map it to your platform's equivalent states. Pay special attention to suspension logic — prediction markets on political or current events can see extreme price swings during breaking news, and you may want to auto-suspend display during high-volatility periods.
Key Integration Challenges
Latency: Prediction market prices move faster than most sportsbook odds during active trading. If your platform quotes a price but the underlying market has moved by the time the bet is processed, you're exposed. Implement price tolerance bands (accept bets within ±2% of current price) or re-quote.
Market Mapping: Prediction markets often have creative event categories (politics, entertainment, weather, crypto prices) that don't map cleanly to traditional sportsbook taxonomies. You'll need a flexible category system.
Liquidity Depth: Not all markets have the same depth. Before displaying a market, check that it can absorb the bet sizes your customers typically place. Showing a market with $500 of liquidity to high-rollers creates a bad experience.
Regulatory Compliance: Prediction markets on certain event types (elections, disasters) may not be licensable in all jurisdictions. Your integration should support market-level geo-filtering.
What to Look for in a Feed Provider
- Programmatic market creation — Can you request custom markets or only consume what's available?
- White-label pricing — Can you apply your own margin, or are prices fixed?
- Settlement SLAs — How quickly are markets resolved after the event?
- Historical data — Do you get trade history for analytics and reporting?
- Sandbox environment — Can you test the full flow without real money?
Adkuu Pulse provides a B2B prediction-market feed designed specifically for iGaming operators — with ready-to-use fixed odds (AI probabilities shaped by a built-in risk model, plus your configurable margin), real-time WebSocket feeds, and automated resolution for supported event categories.
Last verified: March 2026