A focused capability namespace within the AI Inference Economics Foundation — the attribution and allocation of AI-related operating cost to the models, teams, products, or customers that drove it. A conceptual reference, not a cost-allocation engine, billing engine, API, software platform, or accounting authority.
Model Cost Allocation is the concept of attributing and allocating AI-related operating cost — who or what drove the cost.
Once usage is measured, the operating cost behind it has to be attributed to the models, teams, products, or customers responsible. Model Cost Allocation owns that question — who or what drove the cost — so cost can be traced consistently before it feeds pricing and margin.
These are concepts, not a cost-allocation engine, showback or chargeback system, or formula. Implementation and financial policy remain the buyer’s.
Model Cost Allocation sits second in the economic sequence, but it is a structurally equal peer of the other capability namespaces — not the package anchor and not hierarchically superior. The canonical package namespace is the AI Inference Economics Foundation.
The canonical package namespace is the AI Inference Economics Foundation — the authoritative reference for the package and its capability architecture.
| Capability namespace | Domain | Status |
|---|---|---|
| AI Usage Metering | aiusagemetering.com | Capability Namespace |
| Model Cost Allocation | modelcostallocation.com (this namespace) | Live Capability |
| Usage-Based AI Pricing | usagebasedaipricing.com | Capability Namespace |
| Inference Revenue | inferencerevenue.com | Capability Namespace |
Capability namespace links identify LJP-controlled namespace positions within the AI Inference Economics Foundation. Reference pages may be published or updated independently as the capability set is completed. See the canonical capability architecture.
A buyer receives a focused capability namespace for Model Cost Allocation: a controlled domain and semantic reference point that can organize human-readable explanation, machine-readable metadata, ontology relationships, and future documentation or API-oriented architecture around one commercial AI economics capability.
This is a semantic and commercial reference asset, not a finished platform. It does not currently function as an API, agent endpoint, cost-allocation engine, billing engine, or standard; the future-oriented items above are optionality, not current capabilities.
Model Cost Allocation is a conceptual reference. It is not an API, agent protocol, cost-allocation engine, showback or chargeback system, billing engine, pricing calculator, software platform, standards body, or accounting standard. It attributes and allocates cost as a concept; the implementation, financial policy, and accounting judgments remain the buyer’s.
LJP is not affiliated with, endorsed by, or representing any standards body. Standards references describe conceptual alignment only.
Evaluation and package inquiries are handled directly by LJP Asset Group LLC.
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