Ever caught yourself with five browser tabs open, Polymarket in one, Kalshi in another, just to see whether the odds on the same event even agree? You're not imagining the problem. Prediction markets moved more than $91 billion in taker volume in a single 30-day stretch this year, per Dune Analytics, with Kalshi alone driving $47.1 billion of that. Money at that scale doesn't stay readable across five separate interfaces, which is exactly why a small ecosystem of data tools has grown up around the space.
Here's the short version: no single site owns this data. PredictionHero shows live, normalized odds across all five major platforms on one screen. Dune Analytics and TRM Labs cover the on-chain volume and wallet activity behind those odds. Metaculus and Silver Bulletin (Nate Silver's forecasting outlet) give you a probability estimate that isn't a market price at all, useful for checking whether the crowd and the model agree.
Each of the following prediction market tools solves a different problem: on-chain analytics, community forecasting, statistical modeling. If you only look at one, you're missing a piece.
1. PredictionHero
PredictionHero tracks live odds across Polymarket, Kalshi, Limitless, Predict.Fun, and Opinion, normalized so a $0.60 Yes on one platform means the same thing as a $0.60 Yes on another. That normalization is the actual product along with the inferences highlighted on the platform from aggregated historical data. Raw prices from five platforms aren't comparable on their own: different liquidity, different fee structures, different trader pools all shift where a price lands.
The dashboard also runs the various indices that leverage a proprietary 0-100 score built from hundreds of live markets, and an 18-category taxonomy for browsing markets by topic instead of hunting through five separate sites. If you want to know what markets collectively think about an event, PredictionHero is the fastest way to see it.
2. Dune Analytics
Dune is a blockchain query platform, not a prediction market product at all. Analysts write public SQL queries against on-chain data and publish the results as dashboards, and several community-maintained dashboards track Polymarket and Kalshi trading volume specifically. That makes Dune the closest thing to a public volume ledger for the on-chain platforms.
The catch: dashboards are built and maintained by individual analysts, not the platforms or Dune itself. Figures move as query logic gets refined, and there's no single official Dune number for "total prediction market volume." Treat it as directional industry context, and always check who built the dashboard you're citing.
3. TRM Labs
TRM Labs is a blockchain intelligence firm that tracks wallet activity and fund flows, mostly for compliance and fraud investigation work. Prediction markets show up in TRM's research as a byproduct of that broader mission: the firm has published tracking on how many unique wallets are trading event contracts and how fast that number has grown.
It's not a tool you'd open daily. It's useful for the occasional research question: not "what are the odds right now" but "I want to see underneath the hood of the most curious movements."
4. Metaculus
Metaculus is a forecasting community, not a trading market. There's no money changing hands and no order book. Forecasters submit probability estimates on future events, and Metaculus aggregates them into a community prediction using its own scoring system.
That structure makes it a genuinely different data source, not a competing product. A Metaculus forecast reflects what a pool of dedicated forecasters believes. A Polymarket or Kalshi price reflects what traders are willing to risk real money on. When the two disagree by a wide margin, that gap is worth noticing, not resolving in favor of either one automatically.
5. Silver Bulletin
Silver Bulletin is Nate Silver's independent forecasting outlet, running statistical models descended from the FiveThirtyEight approach: polling averages, fundamentals, and historical patterns fed into a probabilistic model, not a market. It's most useful on political and election questions, where Silver's models have a long public track record to compare against.
A 2025 analysis found Polymarket's 2024 election forecasts correctly called the presidential winner but didn't clearly outperform statistical models, including Silver's, on closer down-ballot races. That's the actual use case for pairing the two: a statistical model and a live market are answering the same question with different inputs, and neither one is right by default just because it moved first.
How to Actually Use These Together
I would recommend starting with PredictionHero for the live cross-platform price. That's the fastest way to see whether the market has even reached a consensus on the question you're asking. If Kalshi and Polymarket land within a point or two of each other on the same event, that agreement is itself useful: it means whatever disagreement exists is happening in the noise, not the price. If two platforms disagree by double digits on the same event, that's worth digging into before you trust either number, not a glitch to wave off.
Where you go next depends on what you're actually trying to answer.
If the question is about price or consensus, stay on PredictionHero. Pull up the normalized odds across all five platforms, see where the spread is widest, and check the War Index if the event is conflict-related. A wide spread usually means one platform has thinner liquidity or a different trader base than the rest, not that one platform is right and the others are wrong. The spread itself is the finding.
If the question is about volume or growth, move to Dune Analytics or TRM Labs. Neither will tell you today's price. Both will tell you whether the market you're watching is liquid enough to trust, or whether a handful of wallets are pushing a thin order book around. A market with millions of dollars in daily volume behaves differently from one with a few hundred dollars changing hands, even when both show an identical headline price. Dune's community dashboards are the quicker check for a single platform's trading volume on a given day. TRM's research fits a broader question better, how the wallet base or user count has shifted over months, not how it moved this afternoon.
If you are curious about accuracy rather than price, bring in Metaculus or Silver Bulletin. Neither has money at stake, which is exactly what makes each one a useful check on the other two. A forecaster pool or a statistical model can catch something a thin order book misses, especially on longer-horizon or down-ballot questions where market liquidity tends to run thinnest. If PredictionHero shows one number and Metaculus shows something meaningfully different, sit with that gap before treating either number as settled. A market and a model are answering the same question with different inputs. Moving first isn't the same as being right.
Put together, a typical research pass looks like this: check PredictionHero first for the live price and the cross-platform spread. If the price movement looks unusual, or the spread is unusually wide, check Dune or TRM to see whether volume actually backs up the move. If the question still has enough time on the clock for a model or a forecaster pool to have a meaningful opinion, check Metaculus or Silver Bulletin as a second read. None of that requires five browser tabs open at once. It requires knowing which of these five tools actually answers the question in front of you, and leaving the other four closed until you need them.
