Predictefy vs PredictorSDK: Best Alternative (2026)

Product details and monthly prices checked on October 27, 2026.

How do Predictefy and PredictorSDK compare?

What changes when you need more than a quote?

Predictefy connects discovery, comparison and execution research. Retrieve a market, inspect its supported book and use matching to follow related listings across venues. When the workflow is ready for orders, Predictefy supports a separate client-signed execution flow.

PredictorSDK's market-detail route provides a normalized price, bid, ask and fee information where the source supports them. Its documentation describes this as a top-of-book read. It explicitly directs users to the venue for actual orders and distinguishes an indicative display mark from a tradable quote.

For a watchlist, a top-level quote can answer where a market is priced. For a proposed purchase of 200 contracts, inspect how much quantity is available at each ask and what the complete fill would cost. Predictefy's supported depth and qualification workflow address that next question.

Compare coverage using your actual watchlist

Predictefy gives a multi-venue project one normalized API across 15+ venues. That supports a watchlist spanning sports, politics, economics and crypto while preserving each source's identity and capabilities.

PredictorSDK lists Kalshi, Polymarket, Predict, SX Bet, Hyperliquid, AlphaArcade, ProphetX, Limitless and Pred. Its catalog spans multiple categories. Its sports matching has more specific coverage by league, provider and bet type, so use that matrix when evaluating a particular game or player prop.

Broader catalog coverage and matched coverage are separate questions. Test a non-sport contract, a game moneyline and a player prop independently. This avoids assuming that every catalog record also has a cross-venue match.

Freshness depends on the field

Predictefy includes observation timestamps and provenance so a client can display when a record was captured and where it came from. Keep those values alongside prices rather than replacing them with the time your application received the response.

PredictorSDK makes a useful distinction between discovery and detail. Its catalog is a stored snapshot with a stable snapshot.observed_at during pagination. The detail route reads the chosen venue at request time. Its pricing metadata separates the provider's timestamp from the time the API observed the quote.

In a migration, preserve that distinction in your own schema. A recent catalog request can still contain an older observation. A recent read of a venue record also needs the correct interpretation of its quote timestamp. Freshness checks should use the field that describes the event you care about.

How does each handle a matched sports market?

Predictefy groups related contracts for cross-venue research. Its Pro arbitrage feed checks depth, venue fees and resolution equivalence before qualifying a result at the requested size. Network costs and conditions at execution still belong in your assessment.

PredictorSDK supplies canonical sports event identifiers and documents rules such as overtime, tied periods and settlement treatment. Its matching can bring venue-specific markets under a shared game identity. Carry the native provider identifiers forward so a later lookup refers to the exact contract.

For a basketball quarter, confirm whether a tied period loses, voids or settles another way. A shared event identifier helps organize the comparison. The settlement terms and available asks determine the economics of a position.

What will an evaluation cost?

Predictefy starts with 25,000 Free credits per month. 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 follows Enterprise terms.

PredictorSDK's Free plan lists 1,000 monthly requests at 10 per minute. Starter is $29 per month for 100,000 requests, and Pro is $79 for 500,000. Its public pricing describes paid tiers as adding throughput, with overage priced separately.

Count the calls your screen needs after discovery: detail refreshes, books, matching and subscriptions. Requests and action credits use different units. Compare a representative watchlist rather than treating either allowance as an equivalent number of complete trading decisions.

For a contract-focused workflow, begin with Predictefy's quickstart, test a small matched watchlist and retain the venue identifiers. Add Pro qualification when required and arrange Enterprise terms before commercial use.

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