predict a versioned per-series daily-state forecast model
Sandbox only. History/calendar training uses relationship_state_correction_v2; extended features use relationship_state_context_guard_v4 with a protected automatic reference. Both combine: automatic calendar/recency reference plus historically validated state correction. Existing v1/v2/v3 artifacts remain readable. Historical labels and transition models use D-2 availability. Immutable tenant-scoped artifacts. Train requires at least 14 complete days; activating state features requires historical validation. Predict reloads frozen parameters and can persist recent complete-day context without retraining. Live dates beyond 2025 supported; no future knowledge origins.
Request
- Base URL: https://api.cernion.de
- URL: https://api.cernion.de/api/forecast-sandbox/consumption/state-model/predict
- Auth: none declared
Query parameters
Optional Cernion MCP token as URL query parameter. If provided, it overrides CERNION_TOKEN for this request. Prefer Authorization Bearer header in production to reduce token exposure in URLs/logs.
Request body
Response
Version metadata, validation or PT15M forecasts; inspect warnings and state_features_enabled.
Changes
No recorded changes to this operation across all 2 revisions of this API.