Usage is metered by model, project, and user, with controls that help teams understand activity and manage their balance. Commercial terms are scoped with sales.
Your organisation loads credits before use. Every AI operation deducts from your wallet in real time. When credits hit zero, operations stop cleanly — no runaway costs, no month-end surprises.
Every token is tracked by model, project, user, and AI worker. Your usage record shows the activity that informs balance controls and your itemised invoice.
| Model | Tokens | Metering record | Worker |
|---|---|---|---|
| gpt-5.2 | 12,400 | Recorded | Sophi |
| gpt-5-mini | 28,900 | Recorded | Marv |
| gemini-2.5-pro | 8,200 | Recorded | Sage |
Your workers never stop mid-task because of low credits. Configure a threshold and top-up amount — when your balance drops below the threshold, credits are automatically added. Built-in safety limits prevent runaway charges.
Kaidera does not publish predefined packages or price cards. We scope commercial terms around your operating model, deployment requirements, expected usage, and support needs.
Contact sales to discuss a pricing proposal for your organisation.
Email [email protected]Bring-your-own-key support can be included where it fits your deployment and commercial agreement. We apply our margin; you keep the savings. Full audit trail, same security, lower costs.
When you connect your API key, Kaidera automatically discovers which models you have access to. The system queries the provider's model listing API and stores capabilities in JSONB — no manual configuration needed.
Every invoice breaks down usage by model. PDF download, Stripe billing portal, tax-compliant across jurisdictions. Your finance team will thank you.
Understand how AI activity is distributed across projects, workers, and providers. Usage records and balance controls are visible in the admin dashboard.
When AI reaches its limits, humans take over seamlessly. See how Kaidera routes tasks to human reviewers with full context preservation, SLA enforcement, and zero information loss.
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