API Documentation - AI Solutions | API Documentation for Developers

Full API Documentation for Integration with Our Services

To send data for prediction using an ML model, developers must first authenticate their requests by providing valid API keys. The payload should include the necessary input features and specify which model to use.

The response from our API will contain predictions based on the provided inputs, along with metadata such as confidence scores or error messages if applicable.

Retrieving a List of Available ML Models.

To retrieve a list of available machine learning models, developers can make a GET request to the appropriate endpoint. This will return a JSON object containing details about each model, including its name, description, and supported input types.

Free Plan: 1000 Requests/Day

For our free plan, users are limited to making 1000 requests per day. This is ideal for testing and small-scale applications.

Exceeding this limit will result in temporary rate limiting or request rejection until the next day.

Frequently asked questions