IPQS makes it really easy for our team… IPQS makes it really easy for our team to validate payments and ship orders without worrying about the risk from chargebacks. The support team is also great, and I always get a fast response back. Pricing is very competitive and I have no complaints about the service or accuracy.

Just in time for the holidays We recently switched over to IPQS just in time for the holiday season to help prevent fraud on our online retail shop. Fraud has really been hurting us the past few months with chargebacks and bad payments. We switched IPQS on and it's been pretty much set and forget. Very happy with the customer support as well.

Terrible and dishonest company with… Terrible and dishonest company with crazy prices (500 usd a month is their lowest plan). Script doesn't work, they give you "5000" free credits that are not free. They trick you into creating an account saying it will be "free". Nothing is free with these scammers.

IPQS Fraud Intelligence is best solutions IPQS offers many features that help my business protect itself from fraud activites on the internet. I use IPQS for email validation so that it can quickly browse through my email addresses for legitimacy and recognize suspicious email addresses, which are frequently utilized for fraudulent purposes. Also, it can recognize when a client is interfacing with a site through an intermediary, which can be an indication of dubious action. Their API interface reaction time is very fast, and the data is accurate and reliable. I've been using IPQS for few months now and I can say that it's one of the best fraud detection solutions in the market

Professionals I had to deal with them as my personal IPv4 address kept on being blacklisted by their services. It was quite difficult to get in touch with their support, hence only 4 stars. As soon as I got in touch with them they were willing to assist and help in solving the issue. We are now actively exchanging emails on how to solve the issue and to understand what is causing this blacklisting as they want to improve the quality of their data.