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. Pricing refresh is scheduled every three minutes. Deeper ingest, matching, scoring, and rebuild work runs separately and is not part of the three-minute pricing freshness path.
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.
Our platform reviews are written by a person, not generated or summarised by an automated system. Every review is based on first-hand experience: we open a real account on the platform where our region allows it, place or observe real trades, fund and withdraw through the actual methods each venue offers, and read the venue's own fee schedule, terms and contract rules. Where we could not complete part of that journey — for example a funding method unavailable in our region — we say so plainly rather than guessing.
The venue is always authoritative
Our learning and trading articles are grounded in real trades and real account use, not hypothetical scenarios. Examples, figures and step descriptions are drawn from actions we actually took on the platforms we cover, and any screenshot or number we cite can be traced back to a specific session. Where a detail has changed since we wrote it, we update the article and note the change rather than leaving stale information in place.
This human-first, first-hand approach is the reason our reviews can be slow to publish and why our coverage list grows gradually rather than overnight. We would rather have one review built on real use than ten assembled from other people's summaries.
Frequently asked questions
Is the data real time? No. Pricing refresh is scheduled every three minutes, 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.
Keep reading
Compare live prediction markets across platforms, or continue in the learning hub.