Supported venues
Polymarket, Kalshi, Manifold, Limitless, Gemini, Pascal and SX Bet.
Media & press
Prediction-market research with the source evidence still attached
Prediction Market Radar is an independent, read-only cross-platform research service. Its Super Match Engine groups materially equivalent questions while retaining venue identity, original links, timestamps and compatibility warnings.
Remote interviews and demonstrations available worldwide
Quick facts
Facts reviewed 22 Aug 2026A source-linked reference layer
Independent research
No accounts, wallets, custody, order routing or trade execution.
Auditable comparisons
Original wording, venue identity, timing and source links remain visible.
Quality controls
Uncertain relationships can be withheld and reviewed instead of forced into coverage.
Dated market context
Why cross-platform identity matters now
Reuters reported on 17 August 2026 that researchers identified 7,466 U.S. midterm-related markets across Kalshi, Polymarket and Polymarket US through 10 August—16 times the 2024-cycle count—and $133 million already wagered on the 2026 midterms.
On 19 August, Reuters reported that Cantor Fitzgerald had launched institutional prediction-market trading through Kalshi and cited Bernstein forecasting annual sector volume could reach $1 trillion by decade end.
Founder
Bruce Mallord
50-word biography
Bruce Mallord is the founder, sole human developer and operator of Prediction Market Radar, an independent service that identifies materially equivalent prediction markets across multiple venues. He built the Super Match Engine to make fragmented market data more intelligible while keeping source evidence, attribution and uncertainty visible.
100-word biography
Bruce Mallord founded and independently developed Prediction Market Radar after encountering a deceptively difficult data problem: prediction contracts can look identical while resolving differently, or use different wording while representing materially the same outcome. He created the Super Match Engine to normalise and compare markets across supported venues without hiding their original identity, rules, links or timestamps. Bruce remains the project’s sole human developer and operator. The service is read-only and does not execute transactions. His current work focuses on contract identity, provenance, human-verification evidence, publisher-ready delivery and the reference infrastructure needed as prediction-market inventory expands.
Story angles
Topics for journalists, researchers and producers
Market identity
Why price comparison can be wrong before it starts when contracts differ on date, geography, threshold or settlement source.
Fragmented infrastructure
How identifiers, lineage, normalization and quality controls become necessary as venue and contract counts grow.
Human verification
What defensible comparison evidence looks like, including sampled review, withholding and source transparency.
Publisher and developer delivery
How source-attributed feeds, widgets and selective evaluations can support responsible downstream use.
Corrections and contact
Interview, research or fact-check request?
Remote interviews and demonstrations are available. Please include the outlet, topic, intended format and deadline. Suspected matching errors should use the dedicated correction workflow so they enter the evidence trail.