Orbit AI
Feature-level AI observability using real runtime data
Free1,509 impressions#18 of its week
Orbit provides feature-level AI observability by tracking cost, latency, errors and usage from real runtime data.
- for
- AI product and engineering teams that need detailed usage insights.
- pricing
- free
Key features
- Feature-level analytics — Shows cost, latency and error rates per product feature.
- Customer attribution — Ties each AI call to a customer ID for profit analysis.
- Scaling health dashboard — Real-time traffic vs spend alerts and efficiency scores.
- Error visibility — Breaks down error types by feature and model with logs.
- Multi-provider view — Unified metrics for OpenAI, Anthropic, Gemini and more.
- SDK-based collection — Metrics captured directly from your app without request interception.
Use cases
- Identify which AI feature is driving unexpected cost spikes.
- Debug latency or error issues for a specific product feature.
- Allocate AI spend to individual customers for accurate billing.
- Monitor scaling health to prevent margin collapse during growth.
Orbit AI FAQ
What counts as an event?+
An event is a single AI API call tracked by the Orbit SDK.
What happens if I exceed the free tier limits?+
Orbit will notify you; events beyond the limit won’t be tracked until the next billing cycle or an upgrade.
Can I use Orbit in production on the free plan?+
Yes, the free plan includes all core dashboards and is intended for production use.
How accurate are the cost estimates?+
Costs are calculated using standard model pricing at request time and may differ slightly from provider bills.
Is my data secure?+
Orbit only receives metadata; API keys and request content remain in your application.
How do I integrate Orbit with my application?+
Install the npm SDK, wrap your AI client with one line of code, and metrics are collected automatically.
Summarized by DevHunt from withorbit.io · Oct 7, 2026. Details may change; check the official site.
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