Predictefy vs DepthFeed: Prediction Market Data APIs Compared (2026)

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

How do Predictefy and DepthFeed compare?

Start with the markets your project follows

Predictefy suits a project whose watchlist crosses venues and categories. A market screener can use the shared catalog to discover contracts, retrieve supported books and compare matched markets. The same integration can support a research notebook today and a client-signed trading workflow later.

DepthFeed's core recorded-depth coverage focuses on recurring crypto up/down markets on Polymarket, Kalshi and Limitless. Its documentation also has separate routes for Polymarket US and Binance prediction markets, alongside sports, reference prices and research tools. Check the route that serves your market family rather than treating every listed venue as the same dataset.

That distinction matters if your watchlist mixes an election contract, a sports game and a short-dated Bitcoin market. Write down the specific contracts and required fields first. Then sample each provider against that list.

Which data makes a backtest credible?

Predictefy exposes timestamps, provenance and quality information that help you inspect a historical series before using it. Its history plan windows are seven days on Free, 12 months on Builder and an unlimited plan window on Pro. Select the exact venue and range, then check the observations returned.

DepthFeed stores bid/ask ladders with resting sizes. Its snapshot routes and raw tick routes serve different research needs. A snapshot describes a captured book at an observation time; a tick tape follows individual book changes. Desk includes the raw tick tape, while its lower paid tiers provide historical snapshots within their plan windows.

For a concrete evaluation, choose one expired 15-minute Bitcoin contract. Inspect both outcomes, the timestamp, sizes and gaps around your proposed entry. A candle close can support price research. Simulating a sized fill requires the relevant book levels, fees and timing assumptions. A longer plan window alone proves none of those.

How should you compare cross-venue signals?

Predictefy's matching groups related listings so you can inspect their prices together. Its Pro arbitrage feed goes further by checking depth, venue fees and resolution equivalence at the requested size. You can start with matched-market research and add qualification when the workflow calls for it.

DepthFeed's crypto screener puts prices from its three core depth venues into one grid. Its documentation also carries explicit contract-mapping status and settlement information. Use those fields when checking whether two up/down contracts refer to the same period and reference price.

A visible gap is a research lead. Recheck available asks, contract terms, fees and network costs before acting. Recorded liquidity describes what was available at capture time; current liquidity determines a current order.

What should you budget?

Predictefy's Free plan provides 25,000 credits per month for evaluation. Builder is $48.88 per month with 250,000 credits. Pro is $149 per month with 2,000,000 credits and adds the arbitrage feed, price-gap feed and history replay. Commercial use is covered by Enterprise terms.

DepthFeed lists Explorer at $0, Quant at $29, Research at $99 and Desk at $249 per month. Their history windows progress from capped seven-day access to 30 days, 90 days and the full available archive. The tiers also change streaming, historical-query concurrency and research features.

Compare a realistic week's work: discovery, book reads, historical pulls and ongoing subscriptions. Predictefy credits and DepthFeed's plan limits measure different things. Choose the plan that covers the workload and intended use rather than comparing the allowance numbers directly.

How to evaluate a move to Predictefy

Begin with a small watchlist and keep each venue's identifiers alongside your own contract records. Map your required outputs to Predictefy's catalog, book and history responses. Preserve the observation time in your database and compare prices at matching timestamps.

For our recommended cross-venue setup, start with Predictefy's quickstart, test matching on the Free plan, then select the plan for your research volume and qualification needs. Agree on Enterprise terms before commercial deployment.

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