Prediction market tools for newsrooms
Cross-platform data from Kalshi, Polymarket, and PredictIt — built for reporters who need a defensible price, not a screenshot.
Available now
These tools are live and ready to use.
API Explorer
Interactive docs for our cross-platform data API. Search markets, pull odds history, check liquidity, and find arbitrage — all from one normalized endpoint.
Draft Analyzer
Paste a draft and instantly match its claims to live markets across platforms. See where your numbers hold up — and where they don't.
Market Timeline
Overlay price moves with headline moments. Show your editor when a market reacted, not just where it ended up.
Liquidity Check
Instantly assess whether a price is backed by real depth or sitting on a thin book. Don't cite noise.
Coming soon
Shipping in phases, starting with the highest-leverage newsroom workflows.
Suggest a Market
See a story that doesn't have a prediction market yet? Flag it. We'll route it to the platforms.
Why journalists use this
Prediction markets are useful in reporting when they're framed honestly. That means understanding both the price and the market structure behind it.
Not every quote is worth citing
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.
Divergence is often the story
When platforms disagree, that spread is worth investigating — different traders, different liquidity, or different contract wording.
Deadline-friendly
Find the right market, get a defensible price, and understand the cross-platform picture — in minutes, not hours.
Multi-platform by default
A newsroom that only checks one venue is going to miss pricing disagreements, structural quirks, and what the broader market actually believes.
Before you cite a prediction-market price, build the citation card
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.
- Do not call a single platform quote 'the prediction market' without cross-platform context.
- Do not imply a thin market is a reliable probability estimate.
- Do not imply the quote stayed at the same level after the timestamp.
- Do not say a market is available to US users unless that availability is verified from current official platform copy or the market page itself.
- Do not cite competitor/affiliate pages as factual support in rendered page copy.
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 workflowHow PredictionMarkets.US is different
This isn't a trading terminal. It's reporting infrastructure.
Cross-platform by default
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.
Divergence as signal
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.
Built for citation discipline
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.
FAQ
Before you cite a price
Three checks before quoting a prediction market:
- Liquid enough? A thin book can show wild numbers. Check depth.
- Do platforms agree? If Kalshi says 62% and Polymarket says 71%, that spread matters.
- Does the wording match your claim? "By June 30" and "by end of year" are not the same market.
Miss any of those and you're citing a market more confidently than it deserves.
Related reading
Guides that help reporters interpret market quotes honestly.
When to Trust a Prediction Market Price
Framework for deciding when a market quote is cite-worthy versus noise.
Journalism Liquidity Check
Depth, spread, and timestamp checks before a newsroom quotes market odds.
How Prediction Market Prices Work
Exchange math, spreads, and why displayed odds can mislead casual readers.
Why a Chart Looks Wrong After Close
Useful when a chart and the final settlement appear to contradict each other.
Press & Media Resources
Attribution guidelines, press contacts, and data access for newsrooms.
Developer API (Coming Soon)
Cross-platform prediction market API — normalized data from Kalshi, Polymarket, and more in one call.
Prediction Markets vs. Polls
When to cite markets over polling data — and when to use both.