Long-tail guide · claim-safe

Integration overview — evaluate free, ship licensed

Evaluation materials grant no production rights. Integration steps are technical, not a security audit.

Path A — minutes (notebook)

  1. Open Try and copy the Python evaluation snippet
  2. Feed a strictly positive series; set x* from a calm prefix (log-median)
  3. Plot raw vs EMA vs GSRF; inspect osc and peaks qualitatively

Path B — local CSV metrics

  1. Install/run the public package under eval/ (also described on gsrf-bench)
  2. License: LICENSE-EVAL.md — non-production
  3. 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.

Questions people actually ask

How do I integrate GSRF quickly?

Start with the Try Python snippet, then gsrf-bench on a CSV under LICENSE-EVAL. Production requires a commercial license.

Is the eval package open-source production?

No. LICENSE-EVAL is evaluation only. Production redistribution requires a commercial license.

Where is documentation?

Try, gsrf-bench, Evidence, notes/methodology, commercial-licensing-notes, and this integration overview.

Request Audit Pack Try snippet Evidence Research