The Standard Basis vision
Build a lasting way to understand, buy, and sell AI consumption—even as the models and hardware change.
Company and market framework under development.
01 / What we are building
Standard Basis is the company developing a brokerage and maintained reference indices for AI consumption. CCBT is the denomination those indices apply.
Bring buyers and providers together, make requirements and offers comparable, and help structure the terms. Useful procurement is the starting point—not an assumption that a liquid exchange already exists.
How the brokerage worksConnect consumption, relative model costs, and commercial commitments on a shared basis. Better evidence and repeated transactions can make that basis more useful through time.
Understand CCBT02 / What it could make possible
The ambition is broader than a new benchmark: a common economic language for planning, procurement, and commitments on both sides of the market.
Use a common cost reference alongside your own measures of outcomes, quality, and token efficiency.
Model changes in usage and allocation against a shared reference, rather than treating today’s model mix as permanent.
Explore future CCBT commitments that leave qualifying model allocation open until consumption.
Receive requirements that make volume, timing, region, and service conditions clear enough to quote.
Express economics around a common reference while keeping capacity, service quality, and delivery terms visible.
Explore commitments across delivery periods, with explicit eligibility, substitution, and service obligations.
These are intended applications, not currently available financial products. The market provides the cost reference; each business still determines value and service suitability.
03 / The basis through time
The denomination stays the same. The models, usage weights, and price do not. At each date, CCBT references the market then—not a frozen collection of today’s tokens.
For a proposed future commitment, the agreed CCBT quantity can be allocated among qualifying models at delivery. The current market basket determines the reference; it does not dictate your eventual allocation.
These models and their market usage define the opening reference. The basket is not carried forward unchanged.
| Model | Market share | Token price | Contribution |
|---|---|---|---|
| Model A | 50.51% | $0.80 | $0.4040 |
| Model B | 34.34% | $2.00 | $0.6869 |
| Model C | 15.15% | $5.00 | $0.7576 |
| CCBT reference | $1.8485 | ||
This later reference uses the models, market usage, and token prices prevailing at this date.
| Model | Market share | Token price | Contribution |
|---|---|---|---|
| Model C | 15.00% | $2.20 | $0.3300 |
| Model D | 1.00% | $1.90 | $0.0190 |
| Model E | 28.00% | $1.30 | $0.3640 |
| Model F | 30.00% | $1.10 | $0.3300 |
| Model G | 26.00% | $1.70 | $0.4420 |
| CCBT reference | $1.4850 | ||
The market basket defines the reference, not your allocation. A future balance converts into qualifying models at the prices prevailing when you consume it.
The agreed CCBT quantity, defined market, and delivery terms—not a fixed dollar value, native token count, or set of models.
Qualifying models, aggregate usage weights, the reference price, and conversion into each model’s tokens.
The visual shows two fictional reference observations, not a forward quote. Delivery rights, capacity, substitution, and remedies require an explicit contract.
Explore the delivery structure04 / The path ahead
Start with useful transactions. Build the shared evidence, standards, and counterparty relationships that can support a broader market.
Standardized requests and competing quotes connect real buying needs to supply. Participants can see which terms make a difference.
Observed prices and representative market usage support maintained indices, model conversions, and a record of changing consumption.
Repeatable terms could support future price discovery, financing, risk transfer, and secondary markets for sufficiently standardized positions.
Liquidity is an outcome to build toward, not a property supplied by the formula. Each step depends on participation, credible data, delivery arrangements, and appropriate governance.
The proposed development path05 / The thinking behind it
The founding thesis argues for an economic unit that follows consumption without choosing a winning model or defining what intelligence is worth.
The original argument: the market gap, the requirements for a common standard, and what it could enable.
Read the full thesisThe objective is not to eliminate the complexity of AI economics.
It is to give that complexity a price.
Bring a procurement need, qualifying supply, or a contribution to the common standard.
Participate in Standard Basis