The Get Comparison endpoint returns a JSON object containing a similarity score that quantifies the degree of similarity between the two input texts.

The key field in the response data is "similarity," which represents a numerical value between 0 and 1, indicating how similar the two texts are, with 1 being identical and 0 being completely different.

The response data is structured as a JSON object. For example, a typical response looks like this: `{"similarity": "0.62"}`, where "similarity" is the key and the value is the computed similarity score.

The Get Comparison endpoint accepts two parameters: `text1` and `text2`, which are the two texts you want to compare for similarity.

Users can customize their requests by providing different pairs of texts in the `text1` and `text2` parameters, allowing for flexible comparisons based on their specific needs.

Typical use cases include duplicate detection, plagiarism detection, enhancing search engine results, improving question-answering systems, and aiding customer support by finding relevant information.

Data accuracy is maintained through the use of advanced natural language processing techniques and continuous updates to the underlying models, ensuring reliable similarity calculations.

Users can utilize the returned similarity score to make informed decisions, such as filtering out duplicates, assessing content originality, or improving search relevance based on the similarity of user queries to existing content.

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