Token Economics capability
Your AI bill, split by app, user and workload.
See which apps, users and workloads drive your AI spend, not just one combined bill.
| Application | Small model | Large model | Embeddings | Total |
|---|---|---|---|---|
| Support assistant | $2.4k | $11.8k | $0.6k | $14.8k |
| Document summary | $1.1k | $9.4k | $0.3k | $10.8k |
| Product search | $3.6k | — | $4.6k | $8.2k |
What it does
Know what every inference really costs.
See which apps, users and workloads drive your AI spend, not just one combined bill.
- Break down AI spend using available provider, model, request and application dimensions.
- Examine token volumes and request economics alongside trends in workload demand.
- Attribute supported usage to teams and products for more meaningful budget oversight.
Data in
Cloud & operational data
Approved sources and scope
Analysis
Context & decisions
Rules, economics, ownership
Result
Measured outcomes
Review, validate, report
Why it matters
Tie every token to a team.
See AI token costs by model, app and workload instead of one big bill, and track how changing demand affects them.
Example
Find which app raised AI costs, and whether more usage or a model change caused it.
Data and results
AI cost attribution, rules in plain view.
Required data and dependencies
Supported provider billing and model usage records, plus application-level telemetry where configured.
Operational outputs
Model-level spend analysis, token-consumption trends and AI cost attribution.
Related capabilities
Policy-Based LLM Model Routing
Select the model that fits the workload
AI Token Caching & Reuse
Avoid unnecessary repeat inference costs
AI Unit Economics
Measure cost per useful AI outcome
See AI & LLM Cost Intelligence 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
Trace AI spend on usage like yours.
We’ll show this feature with examples like yours and explain the data and permissions it needs.