Hacker Newsnew | past | comments | ask | show | jobs | submitlogin

It is really cool that Stripe is building Radar, we wanted to use https://siftscience.com for something similar, but they went all corporate, and changed their pricing model before we could implement, so instead of them charging per "transaction" or user action, you now had to pay a minimum of $1000 per month for their smallest offering.


I'm seriously hoping this will make SiftScience reconsider their pricing, but more importantly their handling of customers on legacy plans. Grandfathering? Anyone?

This is a big win for Stripe. Sift is bullying customers into a minimum of 1,000 USD regardless of previous volume or history.

We were in the 10k orders per month around 250 USD with Sift. Now get kicked in the teeth with the minimum 1,000 USD and no real additional value. Not cool.

You know what's cool? Stripe's decision to not charge anyone who was a Stripe Radar user before today. Kudos.

It must be said that Sift does not only apply to Credit Card fraud and has many verticals (content abuse, ecomm, etc), but I think the big stuff is definitely on the chargeback and fraud prevention.


This is the boat we're in currently. We haven't been forced to change our SiftScience plan to the $1k/mo minimum (which would over double our current costs)

I'd love to move to Stripe Radar, but that doesn't really help with PayPal orders.


We've gotten a few weeks extension, but at some point I'm pretty sure things will be enforced.

Regarding Paypal, I believe the fraud that hurts the most is credit card (chargebacks, threshold maximums and card programs!), and Paypal in general is not that bad at that (not as bad as other things).

If Sift sticks with their new pricing, I think it comes down to doing some math.

Our Current Sift Scenario: 3,000 USD a year.

Proposed Sift Scenario: 12,000 USD a year.

Potential Stripe Radar Only Scenario: 0.

Assuming Stripe is as good or possibly better than Sift at catching fraud/automating flows, then we've got 3 to 12k to offset any potential PayPal fraud and still come out on top.

Ok, Not proper math, but worth considering...

Edit: formatting.


I'm currently looking at some of our txn stats on Sift/PayPal, it seems like we could get by there with some simple internal rules.

Definitely something I'm considering.




Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: