Predictefy vs OpticOdds: Prediction Market APIs Compared (2026)
The Short Answer
Choose Predictefy for a prediction market workflow built around 15+ venues, matched contracts, supported order books and client-signed execution. OpticOdds combines sports betting data with exchange prices, depth and native identifiers, and also documents non-sport matching for Kalshi and Polymarket. The Predictefy prediction market API is our recommendation when prediction markets are the core of the project.
Key Takeaways
- Predictefy offers normalized prediction market data across 15+ venues and cross-venue matching on every plan.
- OpticOdds documents exchange depth, native source identifiers and SSE price updates. It includes prediction markets alongside sportsbook data.
- OpticOdds has separate sports and non-sport data flows. Non-sport canonical matching covers Kalshi and Polymarket.
- Predictefy publishes self-serve evaluation prices. OpticOdds' public pricing page directs buyers to its sales process.
Product details and pricing information checked on October 27, 2026.
How do the two products compare?
| Area | Predictefy | OpticOdds |
|---|---|---|
| Main focus | Prediction market data, intelligence and execution | Sports betting data and trading products, including exchange data |
| Prediction-market organization | Normalized venue markets and matched clusters across 15+ venues | Sports fixtures and odds; separate non-sport canonical events |
| Depth and identity | Supported venue books, timestamps and provenance | order_book levels and source_ids in its exchange odds model |
| Updates | REST and WebSocket market data | REST and SSE-powered odds updates |
| Evaluation pricing | Free plan with 25,000 monthly credits | Contact sales through the public pricing page |
Build around the prediction market contract
Predictefy suits a project that starts with a contract, its outcomes and its venue. A shared API covers market discovery, supported books and historical reads. Matching connects related listings, and a separate client-signed execution workflow carries the research toward trading.
OpticOdds' market-maker guide describes a sports odds model containing exchange prices, available liquidity and native identifiers. Its listed sources include Kalshi, Polymarket, Polymarket US, SX Bet, Novig and several exchange-style betting providers. That can be relevant to a sports trading team already using its fixture and odds model.
The buying question is how well the provider's model fits your application. If prediction-market contracts drive the database and user interface, Predictefy gives you a direct starting point across 15+ venues.
OpticOdds covers non-sport markets too
Its current non-sport guide documents elections, economic indicators, crypto thresholds and other categories from Kalshi and Polymarket. A canonical event identifier groups related listings, and a canonical market identifier connects the same outcome across those platforms.
These endpoints form a separate flow from OpticOdds' sports fixtures and odds. Access is enabled per API key. An evaluation should therefore confirm both the required categories and the key's entitlement, rather than assuming a sports feed includes the non-sport routes automatically.
Predictefy's normalized catalog and matching let a prediction market project organize multiple categories within the same product. Test the exact markets you follow and keep the venue's identifiers alongside your application identifiers.
Depth, matching and execution answer different questions
OpticOdds documents an order_book field with price/size levels and a source_ids field for routing a selection back to its native exchange. Those are useful inputs for liquidity research. Preserve the documented units when translating its odds representation into your own model.
Predictefy exposes supported books with provenance and observation times. Its Pro arbitrage feed checks depth, venue fees and resolution equivalence at the requested size. This makes the qualification step part of the prediction market research workflow.
Consider a market on an economic release listed on Kalshi and Polymarket. First match the outcome and settlement terms. Then compare the available asks for the quantity you intend to buy, include fees and network costs, and recheck status before execution. A shared canonical identifier organizes the trade idea; current conditions determine whether it remains actionable.
Compare the update model your application will use
Predictefy offers WebSocket market-data subscriptions alongside REST. OpticOdds documents SSE-powered odds streams and event/results updates. Both approaches can feed an application, but the connection model and message contract differ.
Run an evaluation using the same markets and observation period. Record source timestamps, arrival times and how your application handles reconnects or unavailable prices. Keep those results separate from a vendor's general speed description.
A practical acceptance check is whether a reader can tell which venue produced a price, when it was observed and what contract it describes. That matters more than a generic "live" label on a dashboard.
What should you ask about pricing?
Predictefy's Free plan has 25,000 credits per month for evaluation. Builder is $48.88 per month with 250,000 credits. Pro is $149 with 2,000,000 and includes the arbitrage feed, price-gap feed and history replay. Commercial use is covered by Enterprise terms.
OpticOdds' public pricing page asks about company size and required products before directing buyers through its sales process. Obtain a quote for the actual feeds, categories, streaming access and usage rights you need. A quote for one product should not stand in for another entitlement.
For a prediction market project, start with Predictefy's quickstart and a representative watchlist. Verify the data model on Free, add the plan required for research volume and qualification, and arrange Enterprise terms for commercial use.
Frequently Asked Questions
Why choose Predictefy as an OpticOdds alternative?
Predictefy centers the workflow on prediction markets across 15+ venues, with normalized data, matching, supported books and client-signed execution.
Does OpticOdds include prediction-market order books?
Its market-maker documentation describes price/size levels in an order_book field and native exchange identifiers in source_ids. Confirm coverage for the specific source and market you need.
Does OpticOdds cover non-sport prediction markets?
Yes. Its current guide documents Kalshi and Polymarket non-sport markets, with canonical event and market identifiers. Access is enabled per API key.
Does OpticOdds publish a standard API price?
The public pricing page directs buyers through a sales process based on company size and required products. Request a quote for the exact data and usage rights.
How much does Predictefy cost?
Free includes 25,000 monthly credits. Builder is $48.88 per month and Pro is $149. Pro adds the arbitrage feed, price-gap feed and history replay. Enterprise terms cover commercial use.