The attribution-layer position for federated AI systems — on the agent-era TLD.
Where federated architecture meets model attribution — the canonical coordinate for platforms tracking the provenance and credit of AI outputs across distributed systems.
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
Federation · Cross-Vertical · 2 compound moats. Architectural surface: Attribution. Cross-cutting: Federation.
Layer position: Meta-category (L3)
Why this is canonical
Attribution — knowing which model, agent, or data source produced an output — is a core unsolved problem in federated AI. The .ai TLD ties this directly to the agent-era context where the problem is most acute. This compound is precise, technically grounded, and positioned ahead of regulatory pressure.
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.