Every number you've seen cited about prediction market volume, open interest, or user growth — in news articles, on Twitter, in investor presentations — almost certainly originated from a Dune dashboard. When CoinDesk reports that Kalshi's open interest is above $400 million and Polymarket's is at $360 million, they're pulling from Dune. When researchers publish reports on prediction market accuracy, they're querying Dune. When algorithmic traders build strategies, many start by analyzing Dune data.
Dune isn't a prediction market platform — you can't trade on it. It's the analytics infrastructure that makes prediction market data transparent, queryable, and actionable. If Kalshi and Polymarket are the exchanges, Dune is the Bloomberg terminal — open-source and free.
Dune at a Glance
| Detail | Info |
|---|---|
| What it is | On-chain blockchain data analytics platform |
| Founded | 2018 (Oslo, Norway) by Fredrik Haga and Mats Olsen |
| Valuation | $1B (unicorn status, 2022 Series B) |
| Query language | DuneSQL (based on Trino/PostgreSQL) |
| Supported chains | 100+ blockchains (Ethereum, Polygon, Solana, Arbitrum, Optimism, BSC, etc.) |
| Prediction market data | Polymarket (on-chain, Polygon), Kalshi (via API integration), Limitless, Myriad |
| Pricing | Free tier (basic queries); Plus ~$350/mo; Pro ~$390/mo; Enterprise (custom) |
| API access | REST API (paid plans); Python and TypeScript SDKs |
| Key feature | Community-driven — all public queries and dashboards are open-source and forkable |
| URL | dune.com |
Why Dune Matters for Prediction Market Traders
If you trade prediction markets seriously, you need data that the platforms themselves don't show you. Dune fills that gap.
What the platforms show you
When you open Kalshi or Polymarket, you see the current price, an order book (on some platforms), and maybe a price chart. That's enough for placing a trade. It's not enough for understanding the market.
What Dune shows you
Dune gives you the layer beneath the trading interface. Total volume across all prediction markets — weekly, monthly, year-to-date. Open interest trends over time. How many unique wallets are trading on Polymarket this week versus last month. Which market categories are growing fastest. Where capital is flowing. How concentrated positions are (are a few whales driving the price, or is it broad participation?). How accurate prediction markets have been historically across different timeframes and probability buckets.
This data matters for three reasons. First, it helps you gauge whether the market you're trading has enough liquidity to enter and exit cleanly. Second, it reveals structural shifts — like the migration of volume from politics to sports, or the emergence of AI trading bots as a dominant force. Third, it gives you context that news articles and platform interfaces don't: is this week's volume spike a real trend or a one-off event?
The Key Prediction Market Dashboards on Dune
Dune's power comes from its community-created dashboards. Anyone can build and publish a dashboard, and anyone can fork (copy and modify) an existing one. For prediction markets, several dashboards have become the industry standard reference.
@dunedata — The Cross-Platform Dashboard
The most comprehensive multi-platform dashboard, tracking Polymarket, Kalshi, Limitless, and Myriad side by side. It covers weekly breakdowns of notional volume, normal volume, trade counts, open interest, and unique users. This is the dashboard journalists and analysts cite most often. When you read that Polymarket and Kalshi posted a combined $5.35 billion in weekly notional volume for the first week of March 2026, that number came from here.
Best for: Industry-level benchmarking, comparing platforms, tracking macro trends.
@filarm — Polymarket Deep Dive
Filippo Armani's dashboard is the most detailed Polymarket-specific analytics resource on Dune. It tracks user activity, volume trends, market insights, wallet segmentation, and trading patterns. If you want to understand not just how much is being traded on Polymarket but who is trading it and how, this is the dashboard.
Best for: Polymarket-specific analysis, wallet-level insights, trader behavior patterns.
@alexmccullough — Prediction Accuracy Analysis
This dashboard analyzes Polymarket's prediction accuracy, bias, and outcome distributions across different timeframes and price buckets. It answers a fundamental question: how good are prediction markets at actually predicting? The data shows that Polymarket prices outcomes correctly 90-95% of the time, with accuracy rising as liquidity increases and as the event approaches resolution.
Best for: Research, accuracy benchmarking, understanding systematic biases in prediction market pricing.
Dune x Keyrock Report
A joint research report from Dune and Keyrock providing institutional-grade analysis of the prediction market ecosystem. It covers Polymarket, Kalshi, Crypto.com, Myriad, Limitless, Opinion, and other platforms. The report found that prediction market monthly volumes grew 130x since 2024, that Kalshi's inflation market is 4.3 times less volatile than the Cleveland Fed model, and that both platforms achieve Brier scores around 0.09 — near-perfect forecasting accuracy even 200 days before events resolve.
Best for: Institutional research, forecasting accuracy data, comprehensive market sizing.
How to Use Dune for Prediction Markets: Practical Use Cases
Use Case 1: Gauging Market Health Before Trading
Before entering a large position on any platform, check the Dune dashboards for recent volume and open interest trends. If weekly volume on Polymarket sports markets has been declining while Kalshi's has been rising, that tells you where liquidity is migrating — and which platform will give you better fills.
Use Case 2: Identifying Smart Money Flows
Dune's wallet-level data (for Polymarket, which operates on-chain on Polygon) lets you see which wallets are accumulating large positions, when whales enter or exit markets, and how concentrated positions are. If three wallets hold 40% of the YES position on a market, that's a different risk profile than if the position is spread across 500 wallets.
This kind of analysis is foundational for anyone building automated trading strategies or looking for arbitrage opportunities.
Use Case 3: Cross-Platform Volume Comparison
If you're deciding between Kalshi and Polymarket for a specific category — say, NBA markets — Dune's cross-platform dashboards show you exactly where the volume is. As of March 2026, weekly notional volume is roughly split: $1.9 billion on Polymarket and $1.87 billion on Kalshi. But the distribution by category varies significantly — Kalshi dominates sports while Polymarket leads politics. For a full comparison, see our Polymarket vs Kalshi analysis.
Use Case 4: Research and Content
If you write about prediction markets, do academic research, or create content around forecasting accuracy, Dune is your primary data source. Every chart links directly to its underlying query — you can click through, modify parameters, and run your own analysis. The data is transparent, verifiable, and citable.
How Dune Works: The Basics
If you've never used Dune before, here's the two-minute version.
The "Google Search" Approach (No SQL Required)
The easiest way to use Dune is to search for existing dashboards. Go to dune.com, type "prediction markets" or "Polymarket" in the search bar, and browse the community dashboards that come up. You don't need to write any code. The dashboards are interactive — you can filter by date range, platform, or market category and the visualizations update in real time.
This is how most people use Dune for prediction markets. Find a dashboard, explore the charts, and use the data to inform your trading or research.
The SQL Approach (For Power Users)
Dune's real power is in custom queries. Every piece of blockchain data — every Polymarket trade, every wallet interaction, every contract settlement — is stored in SQL tables that you can query directly. If you know SQL (or are willing to learn), you can build any analysis you want.
For example, you could write a query that tracks the top 10 wallets by Polymarket volume over the last 30 days, shows their win rate, and identifies which market categories they trade most. Or you could query the time gap between news events and market price movements to measure how quickly prediction markets incorporate new information.
Every query you create can be turned into a visualization (line chart, bar chart, table, etc.) and published to a dashboard. If you make it public, the community can fork it and build on your work.
API Access
For developers and automated trading systems, Dune offers a REST API that lets you programmatically execute queries and retrieve results in JSON or CSV format. Python and TypeScript SDKs are available. API access is included in paid plans, with usage billed based on compute credits.
This is particularly useful for building real-time monitoring dashboards, feeding Dune data into trading bots, or integrating prediction market analytics into your own applications.
Pricing: What You'll Pay
Dune operates on a freemium model with credit-based usage.
Free tier — 2,500 monthly credits. Basic query execution in the small engine (no priority, no performance guarantees). Public queries and dashboards only. No API access. Good enough for browsing existing dashboards and running simple queries.
Plus — ~$350/month. More credits, medium query engine (faster execution), API access, and the ability to create private queries and dashboards. Suitable for active researchers and analysts.
Pro — ~$390/month. Large query engine (2x compute of Medium), priority execution, CSV exports, and all Plus features. Designed for professional analysts and teams.
Enterprise — custom pricing. Dedicated support, custom data pipelines, and enterprise-grade SLAs. For institutions and trading firms.
Pay-as-you-go — Available on all tiers. Once you exceed your monthly credits, additional usage costs $5 per 100 credits. You can set spending caps to prevent unexpected charges.
For most prediction market traders, the free tier is sufficient for browsing community dashboards. If you're building custom queries or need API access for automated workflows, a paid plan becomes necessary.
Dune's Limitations for Prediction Markets
On-Chain Only (Mostly)
Dune's core strength is on-chain data. This means Polymarket (which operates on Polygon) is deeply covered — every trade, every wallet, every settlement is queryable at the transaction level. But Kalshi, Robinhood, and OG don't operate on-chain, so their data is integrated via API feeds rather than native blockchain indexing. This means Kalshi data on Dune may lag behind (some dashboards note that Kalshi data requires manual refresh due to API limits), and the granularity is lower than for Polymarket.
Requires SQL for Custom Analysis
While browsing existing dashboards is simple, building your own queries requires SQL knowledge. The DuneSQL dialect is based on Trino/PostgreSQL, which is standard enough that any SQL developer can pick it up quickly. But non-technical users are limited to whatever dashboards the community has already built.
Data Refresh Latency
Dune data isn't truly real-time. Depending on the query and engine, there can be a lag between on-chain activity and dashboard updates. For long-term analysis and research, this is irrelevant. For real-time trading decisions, you're better off using the platform's native data or a dedicated data feed like Polymarket's own API.
No Trading Functionality
Dune is analytics only. You can't place trades, manage positions, or interact with prediction market contracts through Dune. It's a data layer, not a trading layer. You analyze on Dune, then execute on Kalshi, Polymarket, Robinhood, or OG.
Who Should Use Dune for Prediction Markets?
Active traders who want to understand volume trends, liquidity depth, and market structure beyond what the trading interface shows. Dune gives you the context to make better-informed entry and exit decisions.
Algorithmic and quantitative traders who need data feeds for backtesting strategies, monitoring smart money flows, or building trading bots. The API and SQL interface make it straightforward to integrate Dune into automated workflows.
Researchers and analysts who study prediction market accuracy, forecasting performance, or market microstructure. Dune's transparent, forkable query system makes it the standard data source for academic and industry research.
Journalists and content creators who need verifiable, citable data for articles about prediction markets. Every dashboard links to its underlying query, making fact-checking straightforward.
Beginners who just want a high-level view of how the prediction market industry is performing. The community dashboards are free, require no technical skills, and provide a quick snapshot of volume, open interest, and user growth across platforms.
How Dune Fits Into the Prediction Market Stack
Think of Dune as one layer in a complete prediction market toolkit:
Platform (where you trade) — Kalshi, Polymarket, Robinhood, OG, Opinion
Data and analytics (where you research) — Dune, Artemis, Blockworks Research, The Block
Execution tools (how you automate) — Polymarket API, Kalshi API, custom bots
Information (where you learn) — How prediction markets work, platform reviews, strategy guides
Dune doesn't replace the trading platforms. It supplements them by giving you the data layer that the platforms don't provide natively.
Bottom Line
Dune isn't a platform you trade on. It's a platform that makes you a better trader. The prediction market ecosystem generates enormous amounts of data — volume, open interest, user activity, wallet flows, accuracy metrics — and Dune is where that data lives, is queryable, and is free to access.
For casual prediction market users, browsing the top community dashboards for 10 minutes a week gives you more market context than most traders will ever have. For serious traders and researchers, the SQL interface and API open up analysis that simply isn't possible on any trading platform.
The free tier is enough to get started. The community dashboards are the entry point. And every query is open-source — which means the entire prediction market data infrastructure is transparent and verifiable. In an industry where information asymmetry determines winners, Dune levels the playing field.
Frequently Asked Questions (FAQ)
What is Dune Analytics?
Dune is a blockchain data analytics platform that lets users query, visualize, and share on-chain data using SQL. For prediction markets, it's the primary source of industry-level data on volume, open interest, user activity, and forecasting accuracy across platforms like Polymarket, Kalshi, Limitless, and Myriad.
Is Dune free?
Yes, the basic tier is free with 2,500 monthly credits. You can browse all public dashboards and run simple queries at no cost. Paid plans ($350-$390/month) add API access, faster query execution, private queries, and CSV exports.
Do I need to know SQL to use Dune?
No. Browsing existing community dashboards requires no technical skills — just search and explore. Building custom queries requires SQL knowledge (DuneSQL, based on Trino/PostgreSQL). Dune offers tutorials and the community maintains thousands of forkable example queries.
Can I see Kalshi data on Dune?
Yes, though with limitations. Kalshi doesn't operate on-chain, so its data is integrated via API feeds rather than native blockchain indexing. Some dashboards track Kalshi volume, open interest, and trade counts, but the granularity is lower than for Polymarket (which runs on Polygon and is fully on-chain). Kalshi data may require manual refresh on some dashboards.
Can I trade prediction markets through Dune?
No. Dune is analytics only — it has no trading functionality. You analyze data on Dune, then execute trades on your prediction market platform of choice (Kalshi, Polymarket, Robinhood, OG).
Which Dune dashboards should I start with for prediction markets?
Start with the @dunedata cross-platform dashboard for industry-level volume and open interest data. For Polymarket-specific analysis, check @filarm. For prediction accuracy research, explore @alexmccullough. All are free and publicly accessible.
Can I use Dune data in my trading bot?
Yes. Dune's REST API (available on paid plans) lets you programmatically execute queries and retrieve results in JSON or CSV. Python and TypeScript SDKs are available. This is commonly used for feeding market data into automated trading strategies and monitoring dashboards.
