Data field around the state space.
NERVA is a decision-integrity layer for autonomous systems. It sits between a proposed automated action — a trade, a strike, a lane-change, a media buy — and its execution. It accepts five normalized inputs (urgency, strategy, risk, support, stability), maps them onto a Bloch-vector geometry drawn from canonical quantum-information mathematics, and returns one of five verdicts COMMIT · HOLD · WAIT · CONSULT · TOXIC with full mathematical provenance for every call.
NERVA is not a predictor. It is a gate. The point is that the math is verifiable against published textbooks (Nielsen & Chuang 2010, Shannon 1948, Baumgratz · Cramer · Plenio 2014) rather than against a proprietary black box no regulator can audit. v11 adds a second axis: each input carries an optional confidence score, so two decisions with identical point estimates produce different verdicts depending on whether the data was instrumented or estimated. This sheet shows how API data becomes that confidence — and how confidence becomes geometry.
- DSP / SSP bid stream streaming
- Verified imp + viewability audited
- Brand-safety classifier model
- Flight-pacing telemetry streaming
- EHR / HL7 FHIR feed audited
- Imaging confidence score model
- Lab result timestamps instrumented
- Protocol compliance log audited
- Sensor fusion feed instrumented
- IFF transponder data instrumented
- Geofence / zone API structured
- Comms latency telemetry streaming
- L2 order-book feed streaming
- Risk engine output model
- Position / margin API audited
- Volatility surface feed instrumented