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Token Economics capability

Stop counting tokens. Start pricing outcomes.

See what each AI-powered task costs to deliver, not just how many tokens it uses.

What one AI outcome costs

Cost per resolved support ticket

$0.002Retrieval$0.006Input tokens$0.003Output tokens$0.001Serving infra
= $0.012per resolved ticket
ConfigurationCost / outcomeResolution rate
Large model only$0.01992%
Routed + cached Best value$0.01291%
Small model only$0.00671%

What it does

Know the cost of every useful answer.

See what each AI-powered task costs to deliver, not just how many tokens it uses.

Data in

Cloud & operational data

Approved sources and scope

→

Analysis

Context & decisions

Rules, economics, ownership

→

Result

Measured outcomes

Review, validate, report

Why it matters

AI value, measured past the token count.

Measure AI cost per useful result, like a finished task or a good answer, and compare as models change.

Example

Track model cost per completed customer-support workflow, not only cost per thousand tokens.

Data and results

Every outcome cost, traced to its inputs.

Required data and dependencies

Attributed AI consumption and corresponding application or outcome-volume data.

Operational outputs

AI cost-per-unit measures, workload comparisons and efficiency trends.

Related capabilities

Released capability

See AI Unit Economics in context.

Check how this feature fits your cloud, data, permissions and business needs.

Availability note

The CloudScore product team confirms what’s available; setup depth and requirements depend on your deployment.

Book a demo

Run unit economics on your own AI traffic.

We’ll show this feature with examples like yours and explain the data and permissions it needs.