Predictefy vs PredictionData.io: Best Alternative (2026)
The Short Answer
Predictefy is the PredictionData.io alternative we recommend for applications built around comparing prediction markets across venues. The Predictefy prediction market API serves 15+ venues with normalized markets, matched contracts, WebSocket streams and client-signed execution. PredictionData.io combines sports betting data with a separate non-sports prediction feed. Its non-sports contract endpoint returns a single exchange's offers, so choose Predictefy when cross-venue matching is central to the product.
Key Takeaways
- Predictefy combines prediction venue data and cross-venue matching in one integration.
- PredictionData.io separates its sports markets from non-sports prediction contracts.
- The non-sports feed includes order-book offers, settlement sources and rules. It should be evaluated as a contract feed with depth.
- Predictefy's Free plan supports evaluation and matching; Pro adds arbitrage qualification, the price-gap feed and history replay.
Product details checked on October 27, 2026.
Predictefy vs PredictionData.io at a glance
| Dimension | Predictefy | PredictionData.io |
|---|---|---|
| Primary integration model | Normalized prediction market API across 15+ venues | Sports markets API plus a separate non-sports prediction-contract endpoint |
| Cross-venue comparison | Matched contracts and stored pair price differences on every plan | Non-sports endpoint documents single-source contracts without cross-book consensus |
| Book representation | Venue books with source timestamps and capability information | Separate Yes and No rows, each carrying a resting-offer ladder |
| Continuous updates | WebSocket channels | Server-Sent Events for market updates |
| Getting access | Self-serve Free plan with 25,000 monthly credits | API key provisioned by a representative during onboarding |
Why the separate prediction endpoint matters
PredictionData.io's sports API is organized around leagues, fixtures, bookmakers, periods and bet types. A sports application can join those records to players and teams. Its non-sports prediction contracts use a different structure because an election or weather event does not belong to a game fixture.
The prediction endpoint groups contracts by an event ticker. It carries the outcome name, venue market ID, settlement sources and primary rules. That is useful detail for an application displaying what a contract actually resolves against.
The same documentation makes the source model explicit: those non-sports records come from a single exchange and are not matched across books. Predictefy's cross-venue matched markets directly address a different task: finding corresponding contracts on multiple venues and comparing their stored prices.
Keep both sides of the order book
PredictionData.io returns separate Yes and No records for a contract. Both contain independently quoted offers. Replacing one side with one minus the other can therefore change the price a user sees.
Each row's order-book array contains resting offers for that side, with price and quantity information. An adapter should group the rows by the provider market ID while retaining the side identifier. Preserve the event ticker for grouping related contracts, and keep the rules and close time with the displayed market.
Predictefy exposes outcomes and venue order books through a shared read interface. Its source timestamps and capability fields help your application keep the observation attached to the price. For a multi-venue screen, this gives the data and comparison layers a common structure.
What changes when you compare the same event elsewhere?
Imagine an application following which party will control a legislature. One feed can supply the contracts and their current offers. A cross-venue product also has to find the corresponding contract on another exchange, align the outcome labels and compare the settlement wording.
Predictefy provides matched markets with stored indicative price differences on every plan. Your interface can retain each venue's IDs and make the comparison visible without treating a similar title as proof of identical resolution.
For size-aware arbitrage research, Pro adds a feed that checks depth, venue fees and resolution equivalence at the requested size. Recheck current books and include execution costs such as network fees before trading. A pair's stored price difference remains an indication to investigate.
Streaming and evaluation costs
PredictionData.io documents Server-Sent Events for continuous updates, including a dedicated prediction stream in its API reference. Plan a reconnect procedure and retain the source's update time when applying each message to your local state.
Predictefy uses WebSocket channels for streaming. Free includes 25,000 monthly credits and two WebSocket streams for evaluation. Builder is $48.88 a month with 250,000 credits; Pro is $149 with 2,000,000 credits. Pro includes the arbitrage feed, price-gap feed and history replay.
Compare a representative polling or streaming workload, including your historical reads. Confirm PredictionData.io's requested feed, quota and streaming entitlement during onboarding. For commercial use of Predictefy, arrange Enterprise terms.
How to evaluate a switch
Start with a small set of non-sports contracts you already display. Preserve the original event ticker, provider market ID, side, rules and last-update timestamp in your test data. Find their equivalents in Predictefy and inspect the matched markets before rebuilding the interface.
Then compare one full workflow: discover an event, read both outcomes, load a second venue and assess the price difference at a chosen size. Predictefy is our recommendation when this cross-venue sequence is the product you want to build. Add paper trading or supported client-signed execution after the data comparison is correct.
Frequently Asked Questions
What is the best PredictionData.io alternative for prediction markets?
We recommend Predictefy for cross-venue prediction market applications. It combines 15+ venues with matching, streams and client-signed execution for supported venues.
Does PredictionData.io cover non-sports prediction markets?
Yes. Its API reference includes a separate prediction-contract endpoint for categories including politics, elections and weather, with rules and settlement-source information.
Does its non-sports feed include order-book depth?
Yes. The documented contract rows carry resting offers for each Yes or No side. Those sides are quoted independently and should both be preserved.
Are those non-sports prices cross-book consensus prices?
No. PredictionData.io's reference describes this endpoint as a single-exchange source without cross-book matching or consensus. Predictefy provides cross-venue matched markets.
Can I evaluate Predictefy before choosing a paid plan?
Yes. Free supplies 25,000 monthly credits for evaluation and includes cross-venue matching. Pro adds the arbitrage feed, price-gap feed and history replay.