Toxicity Detection API

Safeguard Your Community with our Toxicity Detection API! Harness the power of our Language Understanding API to automatically detect and filter out profanities, toxic content, insults, and more from user-generated content. Prioritize a positive and respectful online environment with our seamless and efficient Toxicity Detection API.

About the API: 

 

The Toxicity Detection API is a crucial tool for maintaining a safe and respectful online environment. Specifically designed to analyze user-generated content, this Language Understanding API is dedicated to identifying and filtering out various forms of toxicity. From profanities and insults to severe toxicities, obscene texts, threats, and identity hate, the API employs advanced algorithms to accurately detect harmful content and prevent its dissemination.

For online platforms, social media networks, and community-driven websites, the presence of toxic content can lead to severe consequences, including damaged reputations, decreased user engagement, and potential legal issues. The Toxicity Detection API addresses these concerns by automatically scanning and evaluating user comments, posts, and messages in real-time.

Implementing this API not only helps protect the community members from offensive and harmful content but also empowers platform administrators to take proactive measures to moderate discussions and preserve a positive user experience. By swiftly detecting toxic language, moderators can intervene promptly, mitigate conflicts, and foster a healthy and respectful online community.

The versatility of the Toxicity Detection API extends beyond mere keyword filtering. Employing natural language processing and machine learning techniques, it discerns context and nuances, leading to more accurate assessments. This enables the API to differentiate between harmless banter and genuinely harmful content, minimizing false positives and ensuring that legitimate user interactions are not inadvertently flagged.

Moreover, the API can be seamlessly integrated into existing platforms, applications, and content moderation workflows. Its easy-to-use endpoints and clear documentation facilitate smooth implementation, while its scalable architecture ensures high performance even under heavy loads.

The importance of toxicity detection goes beyond social media and community websites. E-commerce platforms can benefit by filtering product reviews and comments, ensuring that their customers' experiences are not tainted by harmful content. Educational platforms can also utilize the API to maintain a safe learning environment, where students and educators can engage in meaningful discussions without fear of harassment or bullying.

In conclusion, the Toxicity Detection API is an indispensable asset for any online platform or application that values user safety and community well-being. With its comprehensive coverage of profanity and toxicity detection, it equips businesses and organizations with the means to foster respectful online interactions, build trust, and protect their users from harmful content. By implementing this powerful Language Understanding API, developers and administrators can take proactive steps toward creating a positive digital space for everyone.

 

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

Pass the text that you want to analyze. The API will run an analysis and it will detect the different toxicity entities. 

 

What are the most common uses cases of this API?

  1. Social Media Content Moderation: Social media platforms can integrate the Toxicity Detection API to automatically detect and filter out toxic, offensive, and hateful content in user comments, posts, and messages. This ensures a safer and more welcoming environment for users, promoting healthy discussions and reducing the risk of online harassment.

  2. Community Forum Moderation: Online community forums can utilize the API to moderate user-generated content, flagging and removing toxic language, insults, and threats. By maintaining a respectful and supportive atmosphere, community administrators can encourage more active participation and foster a sense of belonging among members.

  3. E-commerce Product Reviews Filtering: E-commerce websites can employ the Toxicity Detection API to scan and filter product reviews for toxic content or fake reviews. This ensures that the product rating system remains reliable and trustworthy, leading to improved customer trust and informed purchasing decisions.

  4. Educational Platform Content Moderation: Educational platforms and e-learning websites can utilize the API to ensure a safe and inclusive learning environment. By detecting and filtering toxic language in student discussions and comments, educators can foster a positive atmosphere for knowledge sharing and collaboration.

  5. Content Publishing Platforms: Content publishing platforms, including blogs and news websites, can implement the API to moderate user comments and ensure that discussions remain civil and constructive. By curbing toxic behavior, these platforms can enhance reader engagement and cultivate a more respectful online community.

 

Are there any limitations to your plans?

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

API Documentation

Endpoints


This endpoint detects profanities, toxicities, severe toxicities, obscene texts, insults, threats, and identity hate in a given text.



                                                                            
POST https://zylalabs.com/api/2260/toxicity+detection+api/2126/analyzer
                                                                            
                                                                        

Analyzer - Endpoint Features

Object Description
text [Required]
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {"semantic_analysis":{"0":{"id_semantic_model":2,"name_semantic_model":"toxic","segment":"You idiot!"},"1":{"id_semantic_model":6,"name_semantic_model":"insult","segment":"You idiot!"},"2":{"id_semantic_model":7,"name_semantic_model":"identity_hate","segment":"You idiot!"},"3":{"id_semantic_model":6,"name_semantic_model":"insult","segment":"I will find where you live and kick you ass!"},"4":{"id_semantic_model":5,"name_semantic_model":"threat","segment":"I will find where you live and kick you ass!"}}}
                                                                                                                                                                                                                    
                                                                                                    

Analyzer - CODE SNIPPETS


curl --location --request POST 'https://zylalabs.com/api/2260/toxicity+detection+api/2126/analyzer?text=You idiot! I will find where you live and kick you ass!' --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 Toxicity Detection 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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Yes, the Toxicity Detection API is designed to handle multiple languages. It employs natural language processing and machine learning models to detect toxic content in text across various languages, making it versatile for global applications.

The API can detect a wide range of toxic content, including profanity, insults, threats, identity hate, severe toxicities, and obscene language. Its comprehensive detection capabilities ensure robust content moderation for different platforms.

The API's accuracy is continually improved through advanced machine learning techniques and regular model updates. However, as with any natural language processing system, occasional false positives or negatives may occur. It is recommended to monitor the API's performance and adjust moderation thresholds based on specific requirements.

Yes, the API is suitable for real-time content moderation due to its low latency and quick response times. Developers can integrate it into chat applications, social media platforms, and live streaming platforms to identify and address toxic content in real-time.

Yes, the Toxicity Detection API can complement existing content moderation systems. Developers can integrate it as an additional layer of defense to enhance the accuracy and efficiency of their moderation efforts, especially when dealing with complex or multilingual content.

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 Service Level
100%
 Response Time
313ms

Category:

NLP

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