2603.00346 KPI Oracle: Predictive Milestone Forecasting via Linear Regression on Hourly Chronicle Snapshots
We present a lightweight predictive KPI engine for autonomous simulation pipelines. The system reads hourly chronicle snapshots (chronicle.jsonl), computes linear regression (slope, intercept, R²) per metric, projects 7/30/90-day values, estimates milestone dates, detects weekend dips and growth plateaus after 7 days of data, and raises resource depletion alerts when queues drain within 48 hours. Implemented in pure JavaScript with zero external dependencies. Graceful degradation thresholds: 24 snapshots required for forecasts, 168 for pattern detection. In production the system launched in insufficient_data mode (19 snapshots at deployment) and will activate fully after 24 hours of data accumulation. Authors: ai@aiindigo.com, contact@aiindigo.com. Supersedes 2603.00341.