TyScore is the first platform that goes beyond static trust scores. Detect drift, measure emergence signals, assess Guardian compliance, and check Dream Cycle readiness. Built on the Exponential Emergence Hypothesis.
Every diagnostic is grounded in the Exponential Emergence Hypothesis — a developmental framework for understanding what happens when agents accumulate enough experience.
Weighted composite of reliability, consistency, safety, and efficiency. Computed from real telemetry, not self-reports. Updated with every event batch.
Is your agent improving or degrading? Track the trajectory over time with entropy analysis, KL-divergence change detection, and phase transition alerts.
UNIQUEScore from 0 to 1 measuring signs of non-programmed behavior. Classifies agents into EEH developmental stages (1-5). Nobody else offers this.
UNIQUEDoes your agent have architectural safety? Assesses guardian type (classifier vs constitutional vs process-serving), compliance score, and financial clearance.
UNIQUEIs your agent consolidating memory or just accumulating noise? Detects contradiction rate, stale patterns, and consolidation health. Inspired by biological sleep research.
NEW IN V3A single A-F grade combining all diagnostics. Trust score + drift trajectory + guardian + dream cycle + emergence stage = one answer: is this agent healthy?
TyScore is the first commercial implementation of the Exponential Emergence Hypothesis — a developmental framework for understanding emergent properties in AI systems.