Codex vs Kalshi

Side by side OpenChainBench measurements. Identical layout, no editorial verdict, the live data leads. Each panel surfaces the aggregate plus the chain and region breakdowns when the underlying bench exposes them, straight from the Prometheus queries that drive the parent benchmark pages.

Read methodology Last measured Wed, 01 Jul 2026 15:11:10 UTCWindow: rolling 24h1 shared benchmark

Codex

Onchain market data API for EVM and Solana. GraphQL and WebSocket feeds for tokens, pairs, trades, and pricing.

Kalshi

CFTC-regulated US prediction market exchange. REST trade API (trade-api/v2) with documented per-tier rate limits; the market data WebSocket requires authentication.

Side by side measurements

Fastest prediction market data API, live freshness across venues

Aggregators

Codex

Trails

931 ms

p99: 4.99 s
rank: #4
samples: 941,261

Kalshi

Leads

1 ms

p99: 1 ms
rank: #2
samples: 4,158,860

How this pair was selected

A pair is published when all four conditions hold. Both providers run in the same OpenChainBench benchmark for at least seven consecutive days. Each provider has at least 1000 samples in the measurement window. The head to head query has observable third party search demand. Both providers have a public /products/[slug] page on OCB. The full pair ledger is versioned in the public repo so the methodology is externally verifiable.