Limitless vs Metaculus

Limitless vs Metaculus on 2 shared OpenChainBench benchmarks, awaiting live measurements.

Read methodology Last measured Window: rolling 24h2 shared benchmarks
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Limitless

Prediction market on Base mixing CLOB and AMM markets, from 5-minute crypto markets to long-dated events. Public REST API, rate limits undocumented.

Side by side measurements

Prediction market API rate limits, tested with a daily ramp

Trading

Limitless

Trails

295 ms

p99
981 ms
rank
#4
samples
51,837

Metaculus

No data in window

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

Limitless

Trails

307 ms

p99
1.05 s
rank
#5
samples
51,841

Metaculus

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

Limitless vs Metaculus: which one is better?

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

How is the Limitless vs Metaculus 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.