Semantic Substrate

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The substrate-layer coordinate for tracing value and credit back to the token.

A canonical position at the intersection of AI token mechanics and attribution infrastructure — where provenance and credit-assignment converge on the agent-era TLD.

Matched pair · sold together

tokenattribution.aiheld+tokenattribution.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.

Primary home

Also appears in

Architectural context

Token · Cross-Vertical · 2 compound moats. Architectural surface: Attribution. Cross-cutting: Token.

Layer position: Cross-cutting

AttributionToken

Why this is canonical

'Token attribution' is the live problem of identifying which tokens, inputs, or agents contributed to a given output or decision. As LLM-based systems are deployed at scale across regulated industries, the ability to trace and assign credit at token granularity becomes a compliance and commercial necessity. The .ai TLD places this coordinate squarely in the agentic layer.

Where it fits

A few directions this coordinate opens —

LLM output provenance
Tracing which training data tokens contributed to a generated output — relevant to copyright, IP, and model-card disclosure obligations.
AI model builders, legal-tech, compliance platforms
Agentic reward and credit assignment
Attributing value or cost to specific agent actions or token-level decisions in multi-step pipelines.
Agent-infrastructure builders, RLHF tooling, audit platforms

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