Get a first signal quickly: does the model work on your data, in your context, and under your constraints — without installing or deploying anything first?
Create an account on app.kinoux.com and verify your email.
Open the Playground and test a first use case in seconds.
Create a project and generate an API key when you’re ready to integrate the model into your product.
You get a monthly free quota across all models, so you can test without commitment.
Use the Playground to test instantly, or the API to integrate…
Select a use case and copy a ready-to-run request.
Connect Kinoux to your automation tools to test real use cases faster, without building a full integration first.
Use real data from your workflows, validate your logic in real conditions, and move from idea to production with a clear path toward API or local deployment.
Add AI steps to your automations and test real use cases quickly, without writing code.
Build advanced AI workflows with structured scenarios, data routing, and full control over your logic.
The API is built for fast iteration, without creating habits that make the next step harder.
Separate usage with projects. Create one project per environment (dev, staging, prod) or per application/client. This keeps metrics clean, quotas readable, and API keys clearly separated.
Apply least privilege. Give each key only the scopes it actually needs, and prefer one dedicated key per application or workflow. If a key leaks, the impact is limited and investigation is easier.
Protect your API keys. Keep them out of your codebase (environment variables, secret manager) and avoid uncontrolled sharing.
Plan key rotation early. Rotate keys regularly and revoke unused ones. Stress-free rotation is part of basic hygiene.
Measure and attribute usage. Track usage summaries and use project filters to attribute consumption to the right team, product, or client.
Kinoux is designed to help you move fast at the beginning, then give you back full control when the use case becomes critical.
Start with the hosted service: use the Playground to explore quickly, the API to integrate into a real workflow, and representative data to measure what the model does well, what breaks, and what needs guardrails in your product.
Once results are validated, the natural next step with Kinoux is to deploy locally on your own infrastructure: you keep the same input/output logic while gaining more control over latency, cost, compliance, and governance. The hosted service still remains useful for occasional iterations, testing, or comparisons.
Yes, especially for moderate volumes and use cases where fast iteration matters most. For larger-scale production, local deployment is usually the better fit.
No. You can start directly in the Playground, then move to the API when you’re ready to integrate.
Requests are temporarily rejected. You can retry later, smooth traffic on your side, or upgrade your plan.
Open a support ticket directly from the app.kinoux.com interface.
Yes. You can paste or send your own data directly in the Playground or via the API to validate real-world use cases.
Responses are typically returned in milliseconds to a few seconds, depending on the model and request size.
Yes. Once your use case is validated, you can deploy the same model locally on your own infrastructure while keeping the same input/output logic.