How Prediction Pantheon sources market data
Where the data comes from
Market data is ingested from the public APIs of the venues we cover — currently Polymarket and Kalshi. We use publicly documented endpoints and do not use private, paid or scraped feeds. Platform facts in our reviews (fees, funding methods, regional availability, regulation) come from each venue's own published documentation and from hands-on testing.
Question wording shown on the feed may be a shortened or normalised version of the venue's own title, so that two venues' phrasings can be compared side by side. Market detail pages show the original venue question, and every card links back to the source contract.
What we ingest and display
Prices are refreshed by a scheduled pipeline rather than a live socket, so what you see is a recent snapshot, not a tick-by-tick quote. Our target refresh cadence for pricing is roughly every two minutes, with a fuller matching and rebuild pass roughly every ten minutes. These are targets, not guarantees.
The current status and last successful refresh are published on our data status page and in the public feed response.
Refreshes, delays and outages
Prices shown here are venue-derived market-implied probabilities, not Prediction Pantheon forecasts. We do not run a proprietary forecasting model, and if we ever add one it will be separately labelled and documented. The venue remains authoritative for its own contract terms, availability, fees and resolution rules — always confirm there before acting.
Frequently asked questions
Is the data real time? No. It is refreshed on a pipeline cadence — roughly every two minutes for pricing — so it can lag the venue. Treat it as a recent snapshot.
Do you publish your own probability estimates? No. Every price shown is derived from a venue's own market. We do not produce proprietary forecasts.
Can I access the data programmatically? Yes. We publish an unauthenticated JSON feed for AI agents and researchers, documented in /llms.txt and /.well-known/ai-feed.json.
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