Path A — minutes (notebook)
- Open Try and copy the Python evaluation snippet
- Feed a strictly positive series; set
x*from a calm prefix (log-median) - Plot raw vs EMA vs GSRF; inspect osc and peaks qualitatively
Path B — local CSV metrics
- Install/run the public package under
eval/(also described on gsrf-bench) - License: LICENSE-EVAL.md — non-production
- Metrics: osc31, peak_dev, MAD, spectral band vs EMA baselines
Path C — full Workbench (trial / commercial)
Frozen Phase packs, multi-method overlays, industrial batteries, DAMADICS staging — see Workbench. Email info@boonmind.io for trial.
Path D — production
Commercial license (Pro / Enterprise / QEC path tiers) — pricing · licensing notes · readiness checklist.
Public eval surface: /eval/README.md (site-hosted). Source tree ships with the product site repository when published.