Detects pre-news ambient risk signals across human, legal, and operational systems and converts them into machine-readable, tradable risk primitives.
BlackSnow 0.1.0 – Initial Release - Launches an economic sensor skill for early, pre-news ambient risk detection. - Ingests fragmented, legally accessible data across operational, legal, and human systems. - Applies ontology fusion, Bayesian accumulation, and forecasting for predictive risk vector surfacing. - Structures outputs as machine-readable, tradable primitives for finance, insurance, logistics, and policy use. - Clearly defines allowed/forbidden data sources, monetization tiers, and compliance/ethical constraints. - Lists integration points and status as sandbox, gated onboarding, and requiring audit.