A sustained divergence detector — anti-spike, not noise-filtering.
Zeta sits on the Gamma (capability) and Sigma (behaviour) signal space and forecasts where a project's state is heading. It flags sustained divergence — anti-spike, not single-event noise. Evaluation-stage: forecast accuracy is measured on a codebase's own history, not external prediction. For security and platform teams: an early-warning signal that a module or dependency is drifting toward a sabotage or backdoor shape — before it lands in a release.
Trajectory forecast measured against a codebase's own subsequent history (in-sample). This is an evaluation-stage signal; the mechanism stays sealed.
Zeta classifies divergence that persists across the trajectory, filtering single-event noise. The forward forecast reproduces the codebase's own next states with alignment strong and stable at H=1, holding real-time speed across many forward horizons.
Forecast accuracy is measured on the codebase's own subsequent history — not external prediction of unseen systems. It is not an AGI-alignment claim. Out-of-sample generalisation and the mechanism are disclosed under NDA.
Requires γ + σ inputs. Trajectory forecast KPIs are HOLD until pinned in evidence.
Normative files, specs, and conformance guarantees from the official repository.
A sustained divergence detector — anti-spike, not noise-filtering.
Verifiable performance metrics compared to industry standards.
Proprietary commercial license. Use, copying, or reverse engineering of the sealed engine core is strictly prohibited. Evaluators must sign the bilateral NDA.