Discover datasets or KPI entities, fetch normalized timeseries or entity-scoped KPI reads, and drop into CE or operator endpoints when needed. Generated from the DataHub API contract and kept browse-only inside DataHub.
Resolve datasets, search surfaces, and synthetic KPI entities before requesting data. Timeseries discovery stays dataset-scoped; KPI discovery starts from entity lookup.
Once the entity and KPI are resolved, request selector options, current values, end-of-day revisions, or PIT reads from the dedicated KPI surface.
Use batch timeseries fetch for normalized multi-series retrieval when a workflow needs several target series in one request.
Register a dataset source, dry-run entity and series batches, commit points safely, then publish reads when validation passes.
Download the latest internal skill bundle directly from DataHub, then unzip it into
$CODEX_HOME/skills/ before using it in a local Codex session.
Generated from the curated DataHub API contract and rendered read-only.