Every venue, one data layer
Volume for the venues we measure ourselves, pulled daily from each venue's own endpoint and stored in our warehouse. Notional throughout, so the rows add up.
Navigating the next frontier
A layer unifying data, media and research to provide deep insights.
Traded on US prediction markets
Notional volume across the 11 US venues we measure ourselves, from each venue’s first day in our records to 22 Oct 2026. Source: The Prediction warehouse.
Tracking 100+ companies
Prediction markets trade on dozens of venues, settle through 13 clearing houses and a web of smart contracts, and report volume in units that don’t match. The Prediction maps them all, measures them on one basis and shows where every number comes from.
KalshiCFTC DCM+DCO
Polymarket USCFTC DCM
DKeXCFTC DCM
NovigNot CFTC-cleared
CDNACFTC DCM+DCO
UnderdogCFTC DCMand 5 more
regulated exchanges and sports exchanges, read from each venue's own data
PolymarketPolygon
TotalisSolana
LimitlessBase
Myriad MarketsAbstract, Linea, BNB
OpinionBNB Chain
Predict.funBlast / BNBand 12 more
settling on 14 chains, tracked in our venue register; our own onchain collectors come next
Volume for the venues we measure ourselves, pulled daily from each venue's own endpoint and stored in our warehouse. Notional throughout, so the rows add up.
179 funding rounds and acquisitions logged, each with its source and a confidence grade. $7.8B in disclosed capital so far.
The app you trade on is rarely the exchange, and the exchange is not always the clearing house. We map every layer, so you can see who actually holds the risk.
The contracts that have traded the most, from Kalshi and Polymarket side by side, refreshed hourly.
Press ⌘K (Ctrl+K on Windows) on any page. One search box across 318 venues, 406 investors, 44 chains, 220 people, every funding round and every page on the site. Pick a result and you are on its page.
Behind every page sits one map of who founded what, who funded whom, who trades what and who is exposed to whom: 3,418 companies, funds, people, rounds and chains, joined by 4,106 relationships. Here is one company’s corner of it.
Source: The Prediction graph, built from our sourced datasets. Hover a dot to see what it touches
Monthly volume on US-regulated prediction markets, Oct 2025 – Sep 2026, read from each venue’s own published files and stored in our warehouse.
Prediction markets data is siloed. Every venue reports on its own page, in its own unit, on its own schedule. We bring it into one data layer, source first, so the numbers finally add up.
Every figure carries its basis, its source and its age, without a click. Notional and handle never share an axis, and a number from a venue's own endpoint is never quietly blended with one from an aggregator.
Bots and agents already trade these venues. We are opening The Prediction to them through a REST API and an MCP server, so any agent, Claude included, can ask for a venue’s volume, a company’s backers or who clears what, and get the answer with its basis and source attached.
See how your venue compares with its competitors: volume, fees, clearing and who owns each layer of the stack.
Every round in the sector, 179 and counting, with the investors behind it and where the money is going next.
Figures you can cite, each with its basis, its source and its date. No aggregator numbers passed off as a venue's own.
Cross-venue volume, open interest and fees on one basis, with the working shown. Built to be checked, not screenshotted.
Is your project missing?
If you run a prediction-market project we don't cover yet, tell us and we'll be in touch.
The Prediction is invite only while we open it up. Join the waitlist and we will write when your seat is ready.