Cross-platform data from Kalshi, Polymarket, and PredictIt — built for reporters who need a defensible price, not a screenshot.
These tools are live and ready to use.
Interactive docs for our cross-platform data API. Search markets, pull odds history, check liquidity, and find arbitrage — all from one normalized endpoint.
Paste a draft and instantly match its claims to live markets across platforms. See where your numbers hold up — and where they don't.
Overlay price moves with headline moments. Show your editor when a market reacted, not just where it ended up.
Instantly assess whether a price is backed by real depth or sitting on a thin book. Don't cite noise.
Shipping in phases, starting with the highest-leverage newsroom workflows.
See a story that doesn't have a prediction market yet? Flag it. We'll route it to the platforms.
Prediction markets are useful in reporting when they're framed honestly. That means understanding both the price and the market structure behind it.
A 62% price means very different things in a deep market versus a sleepy one. We surface the context so you can tell the difference.
When platforms disagree, that spread is worth investigating — different traders, different liquidity, or different contract wording.
Find the right market, get a defensible price, and understand the cross-platform picture — in minutes, not hours.
A newsroom that only checks one venue is going to miss pricing disagreements, structural quirks, and what the broader market actually believes.
A market quote supports a time-stamped statement about what traders on that venue priced. Check liquidity, contract wording, resolution source, and audience availability before treating the price as evidence. Cross-platform agreement is stronger than a single-platform quote.
“At [time checked], [platform] traders priced [exact market question] at about [price]. Treat that as a market signal, not a forecast guarantee: check liquidity, contract wording, resolution source, and audience availability before citing it as evidence.”
Copy the exact market question or contract title. Similar event names are not enough.
Name the platform or underlying venue shown to the user. Use current official platform copy or the venue label shown on the market page.
Record the displayed probability or best available quote with the exact check time. Do not imply the price is live after publication.
Capture volume, open interest, depth, or a clear 'not available' state. Thin markets are weaker evidence.
Quote or link the rule source that determines settlement. Do not rely on the headline alone.
Say whether the market is available to the audience you are writing for only when verified from current official platform copy or the market page itself.
A market price can support 'traders on this venue priced X at Y at time Z.' It cannot alone prove the event is likely, legal, safe, or broadly available.
Look for depth, spread, and thin-book caveats before you quote the price.
Open workflowUse the editorial framework for deciding whether a market signal is cite-worthy.
Open workflowPull normalized market data and compare venues before treating one quote as the story.
Open workflowThis isn't a trading terminal. It's reporting infrastructure.
PredictionMarkets.US
Shows Kalshi, Polymarket, and PredictIt side by side — with more platforms coming soon.
Typical single-platform workflow
Most journalism tools start from a single platform view and treat that quote as the market.
PredictionMarkets.US
When prices separate, we treat that spread as something worth investigating and explaining — not smoothing over.
Typical single-platform workflow
Most tools hide disagreements instead of showing where consensus breaks down.
PredictionMarkets.US
Every workflow is designed around defendable reporting: what the question was, where the price came from, and why it moved.
Typical single-platform workflow
Most market pages are built for trading, not for publication-grade sourcing.
PredictionMarkets.US pulls odds from Kalshi, Polymarket, and PredictIt simultaneously — so your story reflects the full market, not one platform's user base. Our tools have no affiliation with any exchange.
Three checks before quoting a prediction market:
Miss any of those and you're citing a market more confidently than it deserves.
Guides that help reporters interpret market quotes honestly.
Framework for deciding when a market quote is cite-worthy versus noise.
Depth, spread, and timestamp checks before a newsroom quotes market odds.
Exchange math, spreads, and why displayed odds can mislead casual readers.
Useful when a chart and the final settlement appear to contradict each other.
Attribution guidelines, press contacts, and data access for newsrooms.
Cross-platform prediction market API — normalized data from Kalshi, Polymarket, and more in one call.
When to cite markets over polling data — and when to use both.
