The substrate coordinate for attributing computational work to its sources and consumers.
A canonical name for infrastructure that tracks, attributes, and accounts for compute resources across distributed AI systems — who used what, when, and for what purpose.
Matched pair · sold together
Held and transacted as one position. A matched .ai + .network 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
Compute · Cross-Vertical · 2 compound moats. Architectural surface: Compute, Attribution.
Layer position: Cross-cutting
Why this is canonical
'Compute attribution' names the metering and accountability layer at the heart of distributed AI infrastructure: knowing exactly how much compute each model, agent, task, or user consumed, and attributing that cost and provenance precisely. As AI compute becomes a scarce, costly, and regulated resource, the attribution infrastructure that governs it becomes critical.
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.