PredictIt vs Smarkets

PredictIt vs Smarkets on 2 shared OpenChainBench benchmarks, awaiting live measurements.

Read methodology Last measured Window: rolling 24h2 shared benchmarks
PredictIt logo
PredictIt

CFTC-regulated US political prediction market. Real-money contracts on US elections, legislation and political events. REST API returns market data without authentication; rate-limited to 5 requests per minute.

Smarkets logo
Smarkets

UK-regulated peer-to-peer betting exchange with a public CLOB REST API. Covers political, sports and entertainment markets. No authentication required for market data including full order book quotes.

Side by side measurements

Prediction market API rate limits, tested with a daily ramp

Trading

PredictIt

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Smarkets

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Ramp tiers stay well inside documented budgets where they exist, at most 7 percent of Polymarket's published book allowance, and every run aborts at the first sign of sustained errors. This benchmark measures throttle onset behaviour at polite request rates, not maximum venue throughput.

Rolling 24h · Warm book latencyRaw JSON

Best prediction market API, ranked by live latency and uptime

Trading

PredictIt

No data in window

Smarkets

No data in window

Uptime here means our probes succeeded from three specific regions at a polite request rate. A venue can be up for us and degraded for you, especially during regional network incidents, and a brief blip between probe cycles can go unrecorded. Treat the panel as a measured signal, not a guarantee.

Rolling 24h · API latency (price endpoint)Raw JSON

Frequently asked questions

PredictIt vs Smarkets: which one is better?

PredictIt and Smarkets are compared on 2 shared OpenChainBench benchmarks. See the live table on this page for every metric.

How is the PredictIt vs Smarkets comparison measured?

Every benchmark on this page uses the same open methodology, published at https://openchainbench.com/methodology. Data is CC-BY-4.0. Measurement harnesses are MIT-licensed.

How this pair was selected

Auto-generated pairs require: both providers in the same benchmark for seven consecutive days, at least 1000 samples per provider, observable third-party search demand, and a public /products/[slug] page on OCB. Editorially curated pairs (like this one) may publish early when search demand is high and data is accruing — panels with fewer than 100 samples are shown as provisional. The full pair ledger is versioned in the public repo.

Live data refreshes via ISR within 60 seconds of a new run. Sources are the same Prometheus queries surfaced on the parent benchmark pages.