In an ever-expanding digital landscape, fostering healthy and inclusive online communities is a top priority. The Comment Cleanse API emerges as a powerful solution that provides users with the necessary tools to effectively identify and mitigate toxic comments. This innovative API leverages advanced machine learning algorithms to create a safer online environment by flagging and managing harmful content.
The Comment Cleanse API is a robust tool for platform administrators, content moderators and users looking to implement intelligent comment moderation. By integrating this API into online forums, social media platforms or any community-driven website, administrators can automate the process of detecting and managing toxic comments, creating a safer space for users.
The real-time capabilities of the Comment Cleanse API enable immediate action against harmful content. By detecting toxic comments.
The Comment Cleanse API is designed to integrate seamlessly into a variety of online platforms. Users can easily incorporate the API into their applications or websites, enhancing moderation capabilities without altering the overall user experience. The API supports different programming languages, making it adaptable to various technical environments.
In conclusion, the Comment Cleanse API stands as a beacon for promoting positive online engagement. By leveraging cutting-edge machine learning technology, this API enables platforms to combat toxicity effectively, creating digital spaces that are not only technologically advanced, but also safe, inclusive and conducive to meaningful interactions.
It will receive parameters and provide you with a JSON.
Social Media Platforms: Integrate the API to automatically detect and moderate toxic comments, fostering a positive and safe environment for users.
Online Forums: Employ the API to actively moderate discussions, ensuring that toxic language is promptly identified and handled.
Content Sharing Platforms: Enhance content sharing platforms by implementing the API to identify and address toxic comments associated with shared content.
News Websites: Safeguard online discussions on news articles by using the API to detect and moderate toxic comments, maintaining a respectful discourse.
Community-driven Apps: Integrate the API into community-driven applications to automate the identification and handling of toxic language within user interactions.
Basic Plan: 2,500 API Calls. 100 requests per minute.
Pro Plan: 6,000 API Calls. 150 requests per minute.
Pro Plus Plan: 14,000 API Calls. 250 requests per minute.
[{"label":"toxic","score":0.0508943572640419},{"label":"obscene","score":0.0012038719141855836},{"label":"insult","score":0.0008151644724421203},{"label":"threat","score":0.0006429915083572268},{"label":"identity_hate","score":0.000581100583076477},{"label":"severe_toxic","score":0.00019787249038927257}]
curl --location --request GET 'https://zylalabs.com/api/2980/comment+cleanse+api/3139/text+moderation?text=I hate traveling to places that are far away' --header 'Authorization: Bearer YOUR_API_KEY'
| Header | Description |
|---|---|
Authorization
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[Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed. |
No long-term commitment. Upgrade, downgrade, or cancel anytime. Free Trial includes up to 50 requests.
To use this API the user must enter a text to verify that the text is not offensive.
The Comment Cleanse API is a powerful tool designed to identify and manage toxic comments in digital content.
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 Text Moderation endpoint returns a JSON object containing labels and scores that indicate the presence of various types of toxicity in the input text. Each label represents a specific category of harmful content, such as "toxic," "obscene," or "insult," along with a corresponding score that quantifies the likelihood of that label being applicable.
The key fields in the response data include "label," which identifies the type of toxicity, and "score," which indicates the confidence level of the classification. For example, a response might show a "label" of "toxic" with a "score" of 0.05, suggesting a low likelihood of toxicity.
The response data is organized as an array of objects, where each object contains a "label" and a "score." This structure allows users to easily parse and interpret the results for multiple toxicity categories in a single API call.
The primary parameter for the Text Moderation endpoint is the input "text," which must be provided for analysis. Users can customize their requests by varying the text content to assess different comments or messages for toxicity.
Users can utilize the returned data by analyzing the scores associated with each label to determine the severity of toxicity in comments. For instance, a high score for "severe_toxic" may prompt immediate moderation actions, while lower scores can inform less urgent responses.
Typical use cases for the Text Moderation data include moderating comments on social media, filtering discussions in online forums, and ensuring respectful discourse on news websites. The API helps maintain a positive environment by identifying harmful language.
Data accuracy is maintained through advanced machine learning algorithms that are continuously trained on diverse datasets. Regular updates and quality checks ensure that the API adapts to evolving language patterns and effectively identifies toxic comments.
Standard data patterns include varying scores across different labels, indicating the presence of multiple toxicity types in a single comment. Users can expect to see a mix of low and high scores, reflecting the complexity of language and context in user-generated content.
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You can’t switch APIs during the free trial. If you subscribe to a different API, your trial will end and the new subscription will start as a paid plan.
The free trial lasts for 7 days and allows you to make up to 50 API requests.
No, the free trial is available only once, so we recommend using it on the API that interests you the most. Most of our APIs offer a free trial, but some may not include this option.
Yes. If the API offers a free trial, you will see a "Free 7-Day Trial" option in its Pricing section. The trial lasts for 7 days and allows up to 50 API requests, enabling you to evaluate the API before subscribing to a paid plan.
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.
You can monitor your API usage through the response headers included with every request:
x-zyla-api-calls-monthly-used: Shows the total number of API requests you have used during the current billing period.
x-zyla-api-calls-monthly-remaining: Shows the number of API requests you have remaining for the current billing period.
Yes, you can cancel your subscription at any time. Simply go to the Pricing section of the API you're subscribed to and click the "Unsubscribe" button.
Please note that upgrades, downgrades, and cancellations take effect immediately. Once your subscription is canceled, access to the service will end immediately, regardless of any remaining API calls in your quota.
Please have a look at our Refund Policy: https://zylalabs.com/terms#refund
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