Canonical Data Gap Audit
audit this dataset for gaps; what data is missing for this decision; find provenance problems in this data; reconcile conflicting sources; where are our visibility gaps; design a plan to close these data gaps
When this is the right tool
- “audit this dataset for gaps”
- “what data is missing for this decision”
- “find provenance problems in this data”
- “reconcile conflicting sources”
- “where are our visibility gaps”
- “design a plan to close these data gaps”
Current offer
No approved fixed machine price/payment path verified. Raven data-product concepts are hypotheses unless separately approved.
Commercial state: verification_required
Machine state: discovery_only
Verified start-path state: not_sell_now
Discovery itself does not create a charge, paid engagement, deployment, message, or other external action. Fabric will not invent a checkout or start route that the catalog has not verified.
Continue deliberately
For an AI or agent, use capability ID datafoundry-data-gap-audit-machine-v1 through Evercraft Fabric. A paid or human continuation is exposed only when the capability publishes a verified start path.
Why the door is trustworthy
This page is rendered from the same live public-safe capability metadata Fabric exposes to agents. If availability, pricing, or routing state changes in the catalog, this surface changes with it.