Offensive Commentary Blocker API

The Offensive Commentary Blocker API serves as a language protector for content moderation, automatically detecting and filtering out offensive language in textual content.

About the API:  

The Offensive Commentary Blocker API represents a significant advancement in content moderation technology, offering users a sophisticated solution to automatically detect and filter offensive language in textual content. In today's digital landscape, where user-generated content thrives across multiple platforms, the need to maintain a civil and safe online environment is more crucial than ever. To seamlessly address this need, the Offensive Commentary Blocker API provides an automated means to identify and address instances of profanity, ensuring that online spaces remain conducive to positive interactions and user experiences.

In essence, the Offensive Commentary Blocker API serves as a linguistic watchdog, meticulously analyzing text input to identify offensive language. Its goal is to point out instances of profanity, including explicit terms and creatively veiled or context-dependent variations. This comprehensive examination reflects a comprehensive and nuanced approach to content moderation, recognizing that profanity can take many forms and expressions.

Distinguished by its contextual analysis capabilities, the Offensive Commentary Blocker API goes beyond simple word matching methods by considering the context in which words are used. This contextual knowledge allows the API to distinguish between harmless uses and contributions to offensive content, reducing the risk of false positives and improving the accuracy of profanity detection.

With seamless integration into moderation systems and content management platforms, the Offensive Commentary Blocker API fits effortlessly into existing workflows. This integration streamlines the content moderation process, allowing users to maintain a controlled and respectful online environment with minimal disruption to established systems.

In conclusion, the Offensive Commentary Blocker API is an essential tool for users dedicated to fostering online spaces that promote positive interactions and experiences. With its advanced profanity detection mechanisms, customizable options, and seamless integration capabilities, the API significantly advances efforts to maintain respectful and inclusive digital communication environments.

 

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

It will receive parameters and provide you with a JSON.

 

What are the most common uses cases of this API?

  1. Social Media Comments: Employ the Offensive Commentary Blocker API to automatically moderate and filter offensive language in user comments on social media platforms.

    Chat Applications: Integrate the API into chat applications to ensure a clean and respectful communication environment by filtering profanity in real-time messages.

    Content Creation Platforms: Embed the API in platforms where users generate content to automatically filter and moderate offensive language in posts, articles, or creative works.

    Community Forums: Utilize the API for content moderation in community forums, preventing the dissemination of profanity in discussions and maintaining a positive atmosphere.

    Gaming Communities: Implement the API in gaming communities to filter profanity in in-game chats and user-generated content, fostering a respectful gaming environment.

     

Are there any limitations to your plans?

Besides the number of API calls, there is no other limitation.

API Documentation

Endpoints


To use this endpoint you must enter a text in the parameter.



                                                                            
GET https://zylalabs.com/api/3922/offensive+commentary+blocker+api/4642/offensive+text+scanner
                                                                            
                                                                        

Offensive Text Scanner - Endpoint Features

Object Description
text [Required] Indicate a text
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {"original": "fuck", "censored": "****", "has_profanity": true}
                                                                                                                                                                                                                    
                                                                                                    

Offensive Text Scanner - CODE SNIPPETS


curl --location --request GET 'https://zylalabs.com/api/3922/offensive+commentary+blocker+api/4642/offensive+text+scanner?text=hello' --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 Offensive Commentary Blocker API REST 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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The Offensive Commentary Blocker API is a tool designed to automatically identify, detect, and filter out offensive language or expletives within textual content, ensuring a cleaner and more respectful communication environment.

There are different plans suits everyone including a free trial for small amount of requests, but it’s rate is limit to prevent abuse of the service.

Zyla provides a wide range of integration methods for almost all programming languages. You can use these codes to integrate with your project as you need.

To use this API, users must specify a text to detect and filter inappropriate words.

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 Service Level
100%
 Response Time
178ms

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