Mood Master API API ID: 1198

This API allows developers to transform the written text into different mood styles with different moods. Mood Master API is a powerful tool that allows you to transform the sentiment of any text with just a few lines of code.
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About the API:

It uses advanced machine learning algorithms to analyze the tone and sentiment of a given text and then adjusts the words and wording to produce the desired mood. Whether you want a text to be more positive, negative, or neutral, the API makes it easy.

The API is designed to be simple and intuitive to use and requires no prior experience in machine learning or artificial intelligence. All you have to do is send a text to the API, specify the desired mood and receive a transformed text that reflects the desired tone. This makes it ideal for use in a wide range of applications, such as social media, customer service, marketing, etc.

Thanks to its high accuracy and ability to produce real-time results, the Mood Master API is the ideal solution for anyone looking to quickly and easily adjust the sentiment of their text. Whether you want to improve the tone of a marketing message or make a social media post more upbeat, this API is the solution.

 

What this API receives and what your API provides (input/output)?

It will receive a parameter and provide you with a JSON. 

 

What are the most common uses cases of this API?

  1. Marketing: Text Mood Changer AI API can be used to create positive, upbeat marketing messages, helping companies to promote their products and services in a more appealing way.

  2. Customer Service: The API can be used to transform negative customer feedback into more neutral or positive language, helping companies to maintain a professional image and build customer loyalty.

  3. Social Media: The API can be used to adjust the tone of social media posts, making them more positive or neutral, and helping to create a more engaging online presence.

  4. Translation: The API can be used to adjust the sentiment of the translated text, ensuring that the translated text retains the desired tone in the target language.

  5. Research: Researchers can use the API to analyze and compare the sentiment of large volumes of text data, helping to identify trends and patterns in sentiment over time.

     

Are there any limitations to your plans?

Besides API call limitations per month, there are no other limitations.

API Documentation

Endpoints


To use this endpoint all you have to do is run it, it will return the different types of moods available.



                                                                            
GET https://pr197-testing.zylalabs.com/api/1198/mood+master+api/1043/get+moods
                                                                            
                                                                        

Free test requests remaining: 3 of 3.

This endpoint does not require any input parameters.


API EXAMPLE RESPONSE

{"data":["casual","formal","polite","fluency","simple","creative","shorten","urgent"]}

Get moods - CODE SNIPPETS


curl --location --request GET 'https://pr197-testing.zylalabs.com/api/1198/mood+master+api/1043/get+moods' --header 'Authorization: Bearer YOUR_API_KEY' 


    

To use this endpoint all you have to do is to insert in the parameter the text and the mood.



                                                                            
POST https://pr197-testing.zylalabs.com/api/1198/mood+master+api/1044/get+text
                                                                            
                                                                        

Get text - Endpoint Features

Object Description
text [Required]
mood [Required]

Free test requests remaining: 3 of 3.


INPUT PARAMETERS

text
mood

API EXAMPLE RESPONSE

{"status":true,"data":"\nI regret to inform you that I am unable to attend the meeting tomorrow."}

Get text - CODE SNIPPETS


curl --location --request POST 'https://pr197-testing.zylalabs.com/api/1198/mood+master+api/1044/get+text?text=I'm sorry bro I can't attend tomorrow meeting.&mood=formal' --header 'Authorization: Bearer YOUR_API_KEY' 


    

API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Mood Master API simply include your bearer token in the Authorization header.
Headers
Header Description
Authorization [Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.

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Mood Master API FAQs

The "GET Get moods" endpoint returns a list of available mood types in a JSON format, while the "POST Get text" endpoint returns a transformed text based on the specified mood, along with a status indicator.

The "GET Get moods" response includes a "data" field containing an array of mood types. The "POST Get text" response includes "status" (boolean) and "data" (the transformed text).

The response data is structured in JSON format. For "GET Get moods," it returns an object with a "data" array. For "POST Get text," it returns an object with "status" and "data" fields, indicating success and the modified text, respectively.

The POST "Get text" endpoint requires two parameters: "text" (the original text to be transformed) and "mood" (the desired mood type). Users can specify any mood from the list provided by the "GET Get moods" endpoint.

Common use cases include enhancing marketing messages, moderating customer feedback, adjusting social media posts, ensuring sentiment consistency in translations, and analyzing sentiment trends in research.

Users can leverage the transformed text from the "POST Get text" response to improve communication tone in various applications, such as crafting engaging marketing content or responding to customer inquiries more positively.

The Mood Master API employs advanced machine learning algorithms to analyze and adjust text sentiment, ensuring high accuracy in mood transformation. Continuous training on diverse datasets helps maintain quality.

If the "POST Get text" response indicates a "status" of false, users should check the input parameters for errors. For empty results, ensure the input text is not blank and that a valid mood is specified.

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