Comparison cards
Responsive market and multi-outcome cards with source links, prices, warnings and offer update times.
Request accessResponsive, source-attributed widgets can be provided through managed access for approved datasets and use cases. Source attribution, refresh scope and commercial-use terms are confirmed during onboarding.
Embed responsive prediction market widgets powered by the Super Match Engine into websites, blogs, news articles, newsletters, dashboards, and research publications. Widgets are designed to look great on desktop computers, tablets, and mobile devices while updating automatically with the latest market data.
Responsive market and multi-outcome cards with source links, prices, warnings and offer update times.
Request accessPartner identity, typography and layout can be applied while preserving source evidence, timestamps and attribution.
Request accessCompact platform health, coverage and category components for editorial and data pages.
Request accessCandidate lists with indicative values, ranges and source counts for broader event questions.
Request accessWidgets do not place trades, connect accounts, recommend stakes or provide transaction buttons.
Not offeredYes. Widget access is available through managed onboarding after the intended page, audience, refresh need and branding requirements are reviewed.
Yes. A partner header, approved typography and visual treatment can be configured while Prediction Market Radar attribution, source links and timing remain visible.
The implementation format is selected during onboarding. Available approaches can include an iframe, a managed script embed or a server-rendered data integration, depending on security and publishing requirements.
Yes. Widget designs are responsive and use purpose-built stacked layouts rather than compressed desktop tables.
The widget can display source availability information and withhold incomplete values instead of presenting them as current.
No. Available widgets are informational research and publishing components.
No. Production collection, normalisation, matching and publication do not depend on generative-AI or large-language-model inference, and Prediction Market Radar does not use source-platform data to train AI models.