Predictefy vs SportsGameOdds: Prediction Market APIs Compared (2026)
The Short Answer
Predictefy is our recommendation for prediction market projects that need data across 15+ venues, matched contracts and client-signed trading. SportsGameOdds combines sports prediction-market prices with sportsbook odds, scores and settlement data. Choose the Predictefy prediction market API when your starting point is the prediction market contract and the research or trading workflow around it.
Key Takeaways
- Predictefy covers prediction markets across categories and 15+ venues behind one normalized API.
- SportsGameOdds includes prediction-market prices inside its sports odds API. Kalshi, Polymarket and Novig appear alongside sportsbooks.
- SportsGameOdds meters returned objects. Predictefy meters API actions in credits. The units need separate workload estimates.
- Use current depth and settlement terms when assessing a trade. A normalized price or consensus estimate is only one input.
Product details and monthly prices checked on October 27, 2026.
How do the two APIs compare?
| Area | Predictefy | SportsGameOdds |
|---|---|---|
| Main use | Prediction market data, research and execution | Sports odds, scores, stats and settlement |
| Market organization | Normalized venue markets and cross-venue matches | Sports events with odds organized by market and bookmaker |
| Prediction-market scope | 15+ venues across sports and other categories | Sports contract prices alongside sportsbook prices |
| Free evaluation | 25,000 credits per month; 60 requests per minute | Amateur: 2,500 objects per month; 10 requests per minute |
| Paid entry, billed monthly | Builder $48.88 per month | Rookie $149 per month |
Begin with a contract or a sports event
Predictefy gives a prediction market team a shared way to discover markets, inspect supported order books and follow matched listings. That is useful when a watchlist includes a football game, an election and an economic release. Your data model can keep the same structure as your coverage expands.
SportsGameOdds organizes its service around sports events. Its response can bring together bookmaker odds, prediction-market prices, game status, results and statistics. Its FAQ confirms that prediction markets belong to the same unified odds API, keyed by bookmakerID.
For a sports comparison screen, that event organization can be convenient. For a prediction market research system, the contract's native identity, outcomes, depth and resolution terms deserve their own place in the model. Choose Predictefy when those contract-level questions drive the project.
How should you compare sportsbook odds with contract prices?
SportsGameOdds supplies normalized bookmaker odds and consensus fields, including a vig-removed fair-odds estimate. Those fields can help research how an exchange price compares with a sports betting benchmark. Treat that benchmark as a model output rather than an executable order.
Predictefy's matching helps line up related prediction-market contracts. Its Pro arbitrage feed checks available depth, venue fees and resolution equivalence at the requested size. This gives a contract-focused workflow a direct route from finding a price difference to inspecting its execution conditions.
Take an NBA game as a test case. Confirm the teams, start time, moneyline side and overtime treatment. Then compare the actual price you could buy, the available quantity and each venue's fee treatment. A shared game title does not by itself prove two positions settle identically.
Understand what streaming delivers
Predictefy offers WebSocket subscriptions for supported market data. Preserve the timestamps and provenance when displaying those updates, and inspect the book returned for the selected venue.
SportsGameOdds documents its real-time stream on the AllStar plan. The stream uses WebSockets through the Pusher protocol to notify a client that an event changed. The client then fetches the updated event from the REST API. Account for that follow-up read when designing your cache.
A useful evaluation records when you receive an update, what source timestamp accompanies it and how much additional work is needed to update the screen. This is more informative than comparing two products using the word "real-time" alone.
How do prices and allowances work?
Predictefy's Free plan provides 25,000 monthly credits for evaluation. Builder is $48.88 per month with 250,000 credits; Pro is $149 with 2,000,000. Pro includes the arbitrage feed, price-gap feed and history replay. Commercial use is covered by Enterprise terms.
SportsGameOdds lists Amateur at $0, Rookie at $149 per month and Pro at $499 per month when billed monthly, with a custom AllStar tier. Its annual option displays different monthly equivalents. Amateur includes 2,500 objects per month, Rookie 100,000, and Pro lists unlimited monthly objects subject to the service's other limits. Plan coverage and update frequency differ.
An object is a returned top-level item. Ten events returned from an events query count as ten objects. That differs from the weighted action credits used by Predictefy. Estimate the number of games, refreshes, contract reads and subscriptions your application actually needs.
A practical evaluation for a sports builder
Choose one upcoming game with several supported prediction-market listings. In Predictefy, inspect the matched contracts and supported books, keeping venue identifiers and timestamps. If you also need sportsbook context, compare it as a separate benchmark with its own odds format and observation time.
Save the test data through settlement so you can verify how overtime, cancellation or a postponed game affected the outcome. These are useful acceptance checks for the data model, even before you add a trading workflow.
Start with Predictefy's quickstart for the prediction market side. Use Free to evaluate matching and reads, select Pro when you need qualification, and arrange Enterprise terms for commercial use.
Frequently Asked Questions
Is SportsGameOdds a prediction market API?
It includes sports prediction-market prices inside its sports odds API. Its FAQ names Kalshi, Polymarket and Novig alongside traditional sportsbooks.
Why choose Predictefy over SportsGameOdds?
Choose Predictefy for a contract-focused workflow across 15+ prediction-market venues, including matching, supported depth, research and client-signed trading.
Are Predictefy credits comparable with SportsGameOdds objects?
No. Predictefy weights API actions in credits. SportsGameOdds counts returned top-level objects, such as events. Estimate each workload using its own billing rules.
Does SportsGameOdds support streaming?
Yes. Its documented AllStar stream sends event-change notifications over WebSockets, after which clients fetch updated event data through REST.
Which Predictefy plan includes the arbitrage feed?
Pro, at $149 per month with 2,000,000 included credits. The Free plan includes market-data evaluation and cross-venue matching. Commercial use follows Enterprise terms.