ScitiX provides a unified Model API platform for developers and enterprises. It is compatible with OpenAI-style interfaces and supports large language models, vision/multimodal models, code generation models, and reasoning models, all available with pay-as-you-go billing.
You can create an API key and call the model through REST or the OpenAI-compatible SDK.
1. Create an API key
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Go to the API Keys page and click Create API Key.
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Give the key a recognizable name, then copy it and store it in an environment variable.
Each key shows its status, last-used time, and monthly usage in the list. For quotas, rate limits, or pausing a key, see the API Keys guide.
2. Call a model
Call via REST
Use standard HTTP requests. The following example sends a streaming Chat Completions request:
The example above prints the raw streaming response. Because the API uses Server-Sent Events (SSE), you will see multiple data: {...} JSON lines. To display only the concatenated text content, you can pipe the response through jq:
This script requires jq to be installed on your machine, for example with brew install jq on macOS or apt-get install jq on Debian/Ubuntu.
Set stream to false if you prefer to receive the full result in a single response. For other tasks, such as text-to-image, refer to the documentation or the model detail page for the corresponding APIs and parameters.
Call via the OpenAI-compatible Python SDK
The platform is compatible with the official OpenAI Python SDK. Install Python 3.7.1+ and run:
Example with streaming output and reasoning support:
If you do not need streaming, remove stream=True and read response.choices[0].message.content. Choose the appropriate model and parameters from the Models page based on your scenario.
3. Monitor usage
On the Home page, you can review total tokens, API requests, and throughput, with charts filtered by metric and model.
Use the time presets (24 hours, 7 days, 30 days) for a quick look on Home. For custom date ranges and deeper analysis, open Metrics. See the View Usage guide for details on filtering and reading the Metrics charts.