How To Integrate A What Is Amazon Moderation Review API Into Your Website

How does the Amazon moderated images API work?

What else should I know about Amazon Moderation Review API?
Amazon Image Moderation Review API is a newbie-friendly tool that will provide you with accurate results. All you have to do is paste the URL of any inappropriate image and in a matter of seconds it will return you a percentage rate with which it is passing or failing. If the image passes, it means that any customer who sees it on your website will keep clicking elsewhere.  This percentage will prevent you from having improper and potentially unsafe products on your website. Another good thing about this API is that it accepts HTML code and URLs, so passing those two pieces of information will ease your work even more! Moreover, if you want to filter out a huge number of images, this API will work at maximum power speed. Everybody has different preferences, so we provide you with three packages from which to choose from. Any of them will suit your needs but if you need something even more personalized, we provide that too! The first package includes 100 monthly requests for $24.99 USD, the second includes 1,000 monthly requests for $49.99 USD and the last package offers 10,000 monthly requests for $99.99 USD! All of them will provide you with excellent results! We told you before that there are some restrictions in what an API can pass automatically but we also
Be able to recognize any inadequate image you pass to this API.

To make use of it, you must first:
1- Go to Image Moderation API and simply click on the button “Subscribe for free” to start using the API.
2- After signing up in Zyla API Hub, you’ll be given your personal API key. Using this one-of-a-kind combination of numbers and letters, you’ll be able to use, connect, and manage APIs!
3- Employ the different API endpoints depending on what you are looking for.
4- Once you meet your needed endpoint, make the API call by pressing the button “run” and see the results on your screen.

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