Semantic Substrate

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The canonical object model for machine-readable attribution.

A precise technical name for the structured data object that encodes attribution — a discrete, machine-readable unit that carries credit, provenance, and context through any system.

Matched pair · sold together

attributionobject.aiheld+attributionobject.comheld

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.

Also appears in

Architectural context

Attribution · Cross-Vertical · 2 compound moats. Architectural surface: Attribution, Object.

Layer position: Substrate (L1)

AttributionObject

Why this is canonical

'Attribution Object' names the atomic unit of attribution in a data model: a structured object with defined fields for who, what, when, and how. On .ai, this positions as the reference coordinate for the attribution primitive — the thing that flows through agent pipelines, APIs, and ledgers, carrying credit from source to destination.

Where it fits

A few directions this coordinate opens —

AI and agentic systems
A standardized attribution object that agents can generate, verify, and pass — making credit portable across multi-model pipelines.
AI agent framework builders, agentic workflow platforms
Content and IP systems
An attribution object as the machine-readable carrier of rights and credit for any content asset — enabling automated licensing and royalty flows.
Content authenticity platforms, rights management infrastructure

Illustrative, not exhaustive — held as a transferable canonical position, open to the buyer's own use.