AI token integrations connecting service entitlements, metered requests, allocation records and transparent administrative controls.
An AI token can represent a scoped entitlement, but it cannot establish the quality of a model's output. We connect the token model to actual service permissions and usage records, showing where off-chain execution and human oversight remain necessary.
Specify when usage is charged or restored after failure.
Define how service permissions change over time.
Connect scoped entitlements to a model-backed product.
Track approved service units across participants.
Reconcile application requests with entitlement records.
Define which service actions a token can authorise.
Track accepted consumption against explicit usage rules.
Connect issued units to approved distribution records.
Expose availability and relevant processing limitations.
Define the service entitlement.
Specify consumption and failure rules.
Build token and metering integrations.
Test rejected and repeated requests.
Publish operating limits and support procedures.
We choose the implementation tools after confirming the architecture and integrations.
No. Output quality and appropriate human review remain separate concerns.
Yes. Discovery should establish whether a transferable token is actually needed.
Tell us what you want to build. We’ll help define the next practical step.