Historical consensus, settlement outcomes, and real-time data for academic and quantitative research.
See Plans →Summary: Historical and real-time prediction market consensus data for academic research. API access with structured data, settlement verification, and historical archives.
Prediction markets are studied across economics, political science, finance, and computer science. They provide a unique window into collective belief formation, information aggregation, and forecasting accuracy. Published research using prediction market data has appeared in journals including the American Economic Review, Journal of Finance, and Science.
Common research applications include:
Meridian Edge differs from single-platform data exports in two key ways: it provides cross-platform consensus (not just one platform's prices) and structured settlement verification (ground truth for resolved events).
| Data Type | Endpoint | Use Case |
|---|---|---|
| Consensus probabilities | /api/v1/consensus | Current market-implied probabilities |
| Settlement outcomes | /api/v1/settlements/recent | Ground truth for accuracy measurement |
| Divergence data | /api/v1/opportunities | Cross-platform spread analysis |
| Historical snapshots | Available on Pro+ plans | Time-series analysis of probability evolution |
Meridian Edge's data pipeline runs on a 14-second refresh cycle, processing 100M+ data points from regulated prediction market platforms. All data is devigged (vig-removed) and volume-weighted. Settlement verification combines automated systems with manual review against authoritative sources.
The REST API and Python SDK provide programmatic access to all data. Academic institutions with specific data needs can contact [email protected] for research collaboration opportunities.
Meridian Edge provides cross-platform consensus probabilities, settlement outcomes with ground truth, divergence data, and historical snapshots. Data is aggregated from regulated prediction market platforms and accessible via REST API and Python SDK.
Consensus data aggregates prices from multiple independent platforms using volume weighting and vig removal. This provides a more accurate probability estimate and enables cross-platform analysis that single-source data cannot.
No. All data is for informational and research purposes only and does not constitute investment, financial, or trading advice. Prediction market participation involves risk of loss.
Starter plan includes API access, the live dashboard, divergence alerts, and email digests.
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