Apply generated Rosetta Stone mappings to a dataset via a one-shot, approval-gated workflow.

Build a look-alike audience by scoring a candidate population against a seed and materializing the matches.

Author and submit a Narrative workflow from a natural-language intent, gated on approval.

Scope a fuzzy analytical question into a structured brief of query specifications.

Resolve a fuzzy description or schema shape to the canonical Rosetta Stone attribute ID.

Compose and submit an identity-graph workflow that unions edge sources and labels components.

Compare an owned dataset to a partner's marketplace data: overlap, match counts, and enrichment coverage.

Generate, evaluate, and improve Rosetta Stone attribute mappings for a dataset.

Profile a Narrative dataset or access rule: fill rate, cardinality, ranges, top-values, and quality flags.

Audit a dataset or access rule for bad edges before an identity-graph build.

Draft, validate, and optionally run an NQL query against a Narrative dataset.