The Calorie Count API is a robust web service that allows developers to integrate calorie counting functionality into their applications. It enables users to input ingredient names and weights and receive accurate calorie counts, making it ideal for applications related to nutrition, fitness, and dietary management.

The API supports data exchange in JSON and XML formats, providing flexibility for developers to choose the format that best fits their application's requirements.

The API sources data from reliable nutritional databases and utilizes advanced algorithms to ensure high accuracy in calorie calculations. It provides precise and up-to-date nutritional information for a wide range of ingredients.

Currently, the API focuses on providing calorie counts based on ingredient names and weights. However, future updates may include additional nutritional details, depending on user demand and feedback.

Yes, authentication is mandatory to access the API. Developers need to obtain an API key by registering their application. This key ensures secure communication and authorized access to the API resources.

The Calorie Count API returns calorie counts based on the ingredient name and weight provided. The response typically includes a simple string indicating the approximate calorie count for the specified ingredient.

The primary field in the response data is the calorie count, presented as a string (e.g., "Approximately 220 calories"). This provides users with a quick reference for their dietary needs.

The main parameters for the GET endpoint are the ingredient name and the serving weight in grams. Users must provide these to receive accurate calorie counts.

The response data is structured as a JSON or XML object containing a single string value that represents the calorie count. This straightforward format allows for easy integration into applications.

The Calorie Count API sources its data from reputable nutritional databases, ensuring that the calorie counts provided are reliable and based on established nutritional standards.

Data accuracy is maintained through regular updates from trusted nutritional sources and the use of advanced algorithms that calculate calorie counts based on the latest information available.

Typical use cases include dietary tracking in fitness apps, nutritional analysis in recipe platforms, and calorie transparency in restaurant menus, helping users make informed dietary choices.

Users can utilize the returned calorie count to track their daily intake, create balanced meal plans, or enhance recipe sharing by providing nutritional information alongside ingredients.

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