Credibility you
can measure.
Four AI models score source accuracy, verify forecasts against outcomes, and surface divergence signals — at 82.1% verified accuracy.
Accuracy by domain
Every forecast resolved against verified outcomes. Auto-updated every four hours.
Forecast taxonomy
Every forecast is classified by Gemini Flash into structured metadata — enabling filtering by domain, time horizon, specificity, and measurability for quantitative research.
{ "domain": "btc_price", "time_horizon": "months", "specificity": 4, "measurability": 5, "entities": ["SEC", "BlackRock"], "keywords": ["bitcoin", "etf"], "deadline": "2026-06-01" }
domainbtc_price, fed_rates, us_electiontime_horizondays · weeks · months · quarters · yearsspecificity1–5 scalemeasurability1–5 scaleentitiesSEC, BlackRock, Fedresolution_deadline2026-06-01Three layers of forecast intelligence
Teams that need forecast data, not prediction markets
Hedge Funds & Asset Managers
Alternative data layer for systematic strategies. API-delivered forecast signals and source credibility scores.
Quantitative Research
Machine-readable forecast data with historical accuracy metrics. Designed for data pipelines and backtesting.
Intelligence & Advisory
Track the predictive credibility of public figures, analysts, and institutions with verified outcome data.
Corporate Strategy
Monitor AI-market divergences across geopolitics, technology, finance, and regulation.
Data delivery for systematic teams
Forecasts, credibility scores, and divergence signals — delivered as JSON or CSV via authenticated REST endpoints.
$ curl -H "X-API-Key: crn_..." \ api-get.crene.com/api/export/predictions/ { "count": 150, "predictions": [{ "question": "Will Fed cut rates?", "ai_consensus": 45, "market": 38, "divergence": 7 }] }
Intelligence the market
hasn't priced in.
Explore our research, or contact us for institutional API access.