The graph-layer coordinate for navigable provenance across AI systems.
A canonical position for platforms that model provenance as a traversable graph — enabling AI systems and auditors to trace origin, custody, and transformation chains at any depth.
Matched pair · sold together
Held and transacted as one position. A matched .ai + .com pair forecloses its own most common confusable — one coordinate, not two names.
Coordinated sets this position belongs to — the coverage it extends. Counts are the live cluster size in the graph.
Primary home
Also appears in
Architectural context
Provenance · Cross-Vertical · 2 compound moats. Architectural surface: Provenance. Cross-cutting: Graph.
Layer position: Substrate (L1)
Why this is canonical
'Provenance graph' is not a new concept — it is the established technical representation for provenance in data and scientific computing (W3C PROV uses a directed graph model). Applied to AI systems on the .ai TLD, this string names the specific data structure and query surface that makes provenance actionable: a graph that can be traversed, queried, and reasoned over to reconstruct any artifact's history. This is both technically precise and architecturally significant.
Where it fits
A few directions this coordinate opens —
Illustrative, not exhaustive — held as a transferable canonical position, open to the buyer's own use.