Language Abuse Detection API

"Language Abuse Detection: Utilizes AI to identify and manage offensive language in user comments, fostering digital civility and safer online spaces."

About the API:  

In the dynamic landscape of online interactions, maintaining a positive and respectful environment is paramount. The Language Abuse Detection API is presented as a crucial tool, which leverages advanced artificial intelligence to identify and flag offensive language in user comments. This API enables users and content platforms to create safer online spaces by proactively detecting and managing potentially harmful content.

The Language Abuse Detection API employs state-of-the-art natural language processing algorithms to accurately identify offensive language and potentially harmful content in user comments.

Operating in real-time, the API enables users to seamlessly integrate offensive language detection into applications and platforms, ensuring rapid responses to maintain a positive online environment.

In the age of digital communication, it is imperative to cultivate a positive online environment. The Language Abuse Detection API is at the forefront, offering a sophisticated solution for identifying and managing offensive language in user comments. By leveraging advanced natural language processing, this API enables developers and content platforms to proactively address potentially harmful content, encouraging digital civility and creating safer online spaces. Whether applied to social networks, forums, mobile apps, live chat or gamer communities, the Language Abuse Detection is a testament to the fusion of technology and digital responsibility, providing a tool that excels in accuracy, versatility and real-time effectiveness.

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 Moderation: Integrate the API into social media platforms to automatically detect and moderate offensive comments, fostering a positive online community.

    Forum and Website Comment Sections: Enhance moderation on websites and forums by utilizing the API to filter out offensive language in user comments, maintaining a respectful environment.

    Mobile App Content Filtering: Implement the API in mobile apps and community-driven platforms to filter offensive user comments, ensuring a safe and enjoyable user experience.

    Live Chat Applications: Ensure a positive and respectful live chat environment by incorporating the API to detect and manage offensive language in real-time.

    Gaming Community Moderation: Foster a positive gaming community by integrating the API into online gaming platforms to identify and address offensive language within user interactions.

 

Are there any limitations to your plans?

  • Basic Plan: 3,000 API Calls. 1,000 request per hour and 100 requets per day.

  • Pro Plan: 6,000 API Calls. 1,000 request per hour and 200 requests per day.

  • Pro Plus Plan: 12,000 API Calls. 1,000 request per hour 400 requests per day.

  • Premium Plan: 24,000 API Calls. 1,000 request per hour. 800 requests per day.

API Documentation

Endpoints


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



                                                                            
GET https://zylalabs.com/api/2932/language+abuse+detection+api/3073/text+detection
                                                                            
                                                                        

Text detection - Endpoint Features

Object Description
q [Required]
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {"query":"This food tastes like garbage","hate_score":"0.8111961"}
                                                                                                                                                                                                                    
                                                                                                    

Text detection - CODE SNIPPETS


curl --location --request GET 'https://zylalabs.com/api/2932/language+abuse+detection+api/3073/text+detection?q=This food tastes like garbage' --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 Language Abuse 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.

Simple Transparent Pricing

No long term commitments. One click upgrade/downgrade or cancellation. No questions asked.

πŸš€ Enterprise

Starts at
$ 10,000/Year


  • Custom Volume
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Customer favorite features

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To use this API the user must indicate a text to detect offensive words.

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.

The Language Abuse Detection API is an advanced tool designed to identify and flag instances of inappropriate or offensive language within user-generated content, such as comments, messages, or posts.

The Text Detection endpoint returns a JSON object containing the original text input and a hate score, which quantifies the level of offensive language detected.

The key fields in the response data include "query," which contains the input text, and "hate_score," a numerical value indicating the severity of offensive language, ranging from 0 (no hate) to 1 (highly offensive).

The response data is structured in JSON format, with key-value pairs. For example, a typical response might look like: `{"query":"text","hate_score":"0.8111961"}`.

The primary parameter for the Text Detection endpoint is the input text, which users must provide to analyze for offensive language.

Users can customize their requests by varying the input text they send to the endpoint, allowing for the detection of different comments or messages.

Typical use cases include moderating comments on social media, filtering user-generated content in forums, and ensuring respectful interactions in live chat applications.

Data accuracy is maintained through advanced natural language processing algorithms that continuously learn and adapt to identify offensive language effectively.

Quality checks include regular updates to the AI models, validation against diverse datasets, and user feedback mechanisms to improve detection accuracy over time.

Zyla API Hub is like a big store for APIs, where you can find thousands of them all in one place. We also offer dedicated support and real-time monitoring of all APIs. Once you sign up, you can pick and choose which APIs you want to use. Just remember, each API needs its own subscription. But if you subscribe to multiple ones, you'll use the same key for all of them, making things easier for you.

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Prices are determined by a recurring monthly or yearly subscription, depending on the chosen plan.

API calls are deducted from your plan based on successful requests. Each plan comes with a specific number of calls that you can make per month. Only successful calls, indicated by a Status 200 response, will be counted against your total. This ensures that failed or incomplete requests do not impact your monthly quota.

Zyla API Hub works on a recurring monthly subscription system. Your billing cycle will start the day you purchase one of the paid plans, and it will renew the same day of the next month. So be aware to cancel your subscription beforehand if you want to avoid future charges.

To upgrade your current subscription plan, simply go to the pricing page of the API and select the plan you want to upgrade to. The upgrade will be instant, allowing you to immediately enjoy the features of the new plan. Please note that any remaining calls from your previous plan will not be carried over to the new plan, so be aware of this when upgrading. You will be charged the full amount of the new plan.

To check how many API calls you have left for the current month, refer to the β€˜X-Zyla-API-Calls-Monthly-Remaining’ field in the response header. For example, if your plan allows 1,000 requests per month and you've used 100, this field in the response header will indicate 900 remaining calls.

To see the maximum number of API requests your plan allows, check the β€˜X-Zyla-RateLimit-Limit’ response header. For instance, if your plan includes 1,000 requests per month, this header will display 1,000.

The β€˜X-Zyla-RateLimit-Reset’ header shows the number of seconds until your rate limit resets. This tells you when your request count will start fresh. For example, if it displays 3,600, it means 3,600 seconds are left until the limit resets.

Yes, you can cancel your plan anytime by going to your account and selecting the cancellation option on the Billing page. Please note that upgrades, downgrades, and cancellations take effect immediately. Additionally, upon cancellation, you will no longer have access to the service, even if you have remaining calls left in your quota.

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To give you the opportunity to experience our APIs without any commitment, we offer a 7-day free trial that allows you to make up to 50 API calls at no cost. This trial can be used only once, so we recommend applying it to the API that interests you the most. While most of our APIs offer a free trial, some may not. The trial concludes after 7 days or once you've made 50 requests, whichever occurs first. If you reach the 50 request limit during the trial, you will need to "Start Your Paid Plan" to continue making requests. You can find the "Start Your Paid Plan" button in your profile under Subscription -> Choose the API you are subscribed to -> Pricing tab. Alternatively, if you don't cancel your subscription before the 7th day, your free trial will end, and your plan will automatically be billed, granting you access to all the API calls specified in your plan. Please keep this in mind to avoid unwanted charges.

After 7 days, you will be charged the full amount for the plan you were subscribed to during the trial. Therefore, it’s important to cancel before the trial period ends. Refund requests for forgetting to cancel on time are not accepted.

When you subscribe to an API free trial, you can make up to 50 API calls. If you wish to make additional API calls beyond this limit, the API will prompt you to perform an "Start Your Paid Plan." You can find the "Start Your Paid Plan" button in your profile under Subscription -> Choose the API you are subscribed to -> Pricing tab.

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