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GLOBAL PROBABILITY INTELLIGENCE

The world has a price.
We measure the probability.

Independent event models, live prediction-market pricing, source-level evidence and a permanent scored history — informed by proprietary real-estate and sports data infrastructure where those datasets genuinely matter.

Open intelligence desk
01 Versioned forecasts 02 Source provenance 03 Proprietary domain data 04 Scored history
Domain infrastructureProperty + Sports + Public Data
Forecast stateImmutable snapshots
Proprietary data + official sources + market pricing + specialist models
MARKET PRICE ≠ MODEL PROBABILITYREAL DATA INFRASTRUCTUREEVERY MATERIAL INPUT SOURCEDDOMAIN-SPECIFIC MODELSNO RETROACTIVE REWRITES
BUILT ON REAL DATA INFRASTRUCTURE

We do not begin with a prompt. We begin with data.

PropBetEdge Predictions can draw from the broader PropTechUSA and PropBetEdge data ecosystem when a market overlaps a domain we already understand deeply. Every forecast still discloses which source classes actually contributed.

Forecast-level disclosureProprietary data is identified when materially used. No blanket claims.
PROPERTY INTELLIGENCE

Global real-estate data infrastructure

Property, parcel, market, rent, mortgage, distress, hazard and geographic intelligence can support housing, affordability, disaster-exposure and local economic prediction models.

PropertyHousingMortgageRiskGeospatial
PropTechUSA / PropDataSpecialist input layer
SPORTS INTELLIGENCE

Existing multi-sport model infrastructure

League, player, market, historical and model outputs from the PropBetEdge sports stack can inform sports-linked prediction contracts without rebuilding the underlying sports intelligence twice.

NFLNBAMLBNHLWNBAUFC
PropBetEdge SportsLinked intelligence layer
AUTHORITATIVE SOURCES

Official public and market data

Federal agencies, weather authorities, official releases, market venues and other declared sources complete the evidence layer for domains where proprietary data is not the right input.

FREDBLSFederal ReserveNOAAMarket venues
Declared provenanceAuditable inputs
Domain dataFeature snapshotSpecialist modelProbabilityResolution + score
INTELLIGENCE DESK

Where our models diverge from live markets

Research-stage examples clearly separated from validated performance.

EventProbability intelligence
BUILT TO BE REFERENCED

Not a picks feed. A public record of probability.

Every market page is designed to become a durable research object: one event, one canonical question, one forecast history, one evidence trail and one resolution record.

FORECAST RECORDPBE-FED-2026-09-001

Federal Reserve target-rate decision

Model68%
Market56%
Divergence+12.0 pts
Model v0.1.0Captured 15:04 UTCResearch status
Source classesOfficial macro data · market pricing · no proprietary domain input
EVIDENCE, NOT A BLACK BOX

Every probability should have a reason.

01

Source ledger

Material inputs identify provider, source class, observation time and retrieval time so outside researchers can inspect what the model actually saw.

Proprietary domain data · when usedOfficial/public sourcesVenue market snapshots
02

Model ledger

Probabilities retain their model ID, version, assumptions, feature snapshot and timestamp instead of silently changing as the system learns.

model: specialist-family
version: 0.1.0
source_classes: disclosed
03

Resolution ledger

The authority and resolution rule are stored before scoring. Once resolved, the forecast joins the permanent track record — good or bad.

Pre-declaredResolvedScored
RESEARCH STANDARD

Performance claims wait for the evidence.

Historical tests must use only data available before each event. Revised or post-event information is excluded from legitimate backtests.

Resolved forecastsBuilding
Brier scorePending
Log lossPending
CalibrationPending