
See spend per subscriber.
Tie usage and model cost to the subscriber or organization behind each request.
Measure AI cost per subscriber, keep spend aligned with each plan, and enforce model access without replacing your SDK.
The Context Stack
[ 1 / 5 ]

Tie usage and model cost to the subscriber or organization behind each request.

Keep free and trial traffic on safer defaults while premium plans unlock more power.

Route by quality, latency, and budget without rewriting the stack you already ship.
Integrations
[ 2 / 5 ]
Keep the stack you already use and add AI cost controls without ripping anything out.
Workflow
[ 3 / 5 ]
Keep budgets, routing, and reporting on the path your requests already travel without replacing your subscription tooling.
Attach each request to the customer, organization, and plan behind it.
Apply plan-aware controls before model spend grows unnoticed.
Send every plan to the right model tier for cost, quality, and latency.
Keep free trials on efficient defaults until premium access is unlocked.
Give product and finance teams spend visibility by plan, tenant, and customer.
Review usage patterns and catch margin drift before it becomes a billing surprise.
Reality
[ 4 / 5 ]

Finance / Wellness App
Why is the AI bill this high? ðŸ˜

Product / Meditation App
Which plan gets GPT-4o again?

Engineering / Fitness App
Another prompt fork? really?

Growth / Language App
Free trials hit premium again ðŸ˜

Support / Marketplace App
Is this user on Pro? I think 🤔

RevOps / EdTech App
I found three usage exports =/

Platform / Health App
Can we move this tenant down?

Product / News App
Is Starter losing money? 🤔
Questions
[ 5 / 5 ]
The five topics teams ask most often before rolling out subscriber-level AI cost controls.
Subscription apps get subscriber-level visibility into AI spend, keep usage aligned with each plan, and manage model access without rebuilding their existing SDK workflow.