When building AI applications, usage visibility becomes important quickly.
At the demo stage, you may not care much. You call a model, test outputs, and keep building.
But once a project gets real users or multiple team members, usage becomes part of the development workflow.
Developers need to know:
- Which workflows are using AI APIs
- Where usage can be checked
- How usage changes over time
- How model access is organized
- Where documentation lives
ChinaRouter is focused on this operational side of AI API usage.
It provides a unified AI API gateway and admin dashboard with model marketplace access, usage lookup, documentation, and dashboard workflows.
Website: https://chinarouter.net/
For people building AI apps: how do you currently track API usage?
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