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Introducing credits for usage-based billing
With the rise of usage-based billing for AI services, the strategic importance of credits is growing. That’s why we’ve recently added a new credits feature to Stripe Billing.
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It takes a unified, interoperable suite of products to build economic infrastructure for the internet. As we work toward that goal, we spotlight what we’ve learned and updated across our payments, financial services, and business operations products.
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How we built it: Usage-based billing
We created a usage-based billing system with an accurate and highly available revenue ledger; real-time events processing with ultrahigh throughput billing; and the ability to support complex pricing models and accurate billing, even in the face of delayed events. Doing so required reimagining how to build a highly scaled, highly reliable event streaming platform.
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Using ML to detect and respond to performance degradations in slices of Stripe payments
With our slice monitoring program, we use machine learning to spot small pockets of performance declines amid the sea of global payments.
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How Stripe Radar responded to a new wave of card testing
While Radar’s models predict the likelihood of fraud or card testing, we needed a new way to recognize verification attacks that were causing higher-than-average authorization rates. Learn about our three-layered approach to combating this new fraud trend.
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What does the future hold for real-time payments?
In the third and final installment in our three-part series, we examine the most important questions for the future of real-time payments: will they ever take off in the US and the UK, and will they emerge as a truly global payment method?
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In a competitive landscape, RTPs move to stand out
To compete with other payment methods for consumer preference, real-time payments are expanding their “bundle” of services to include subscriptions, credit, and in-person transactions.
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The ML flywheel: How we continually improve our models to reduce card testing
Card testing is one of the most significant fraud threats to Stripe, its users, and the broader financial ecosystem. Stripe’s machine learning–based approach—based on rapid detection and retraining—has led to successful card testing attacks on Stripe decreasing by 80% over the last two years.
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The forces behind the rise of real-time payments
Payment methods are tightly woven into the economic and social fabric of a country. In most countries, the dominant means of exchange has rarely pivoted—and yet in many places around the world, it’s changing right now with real-time payments. Here’s why.
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Using ML to comply with SCA requirements
By applying ML to the process of navigating Strong Customer Authentication requirements, we’re helping users reduce checkout friction while lowering fraud and increasing authorization rates.
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How we built it: Payment method A/B testing
Building our payment method A/B testing tool was an industry first, and we had to find creative solutions to some of the most complex scenarios in A/B testing. We’ll take you through some of the key decisions we made—and lessons we learned—along the way.
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Our biggest-ever upgrades to Stripe Billing
Earlier this month at Stripe Tour New York, we shared new ways to orchestrate and grow your revenue with Stripe Billing, including new features to help you better understand your revenue data and give you more flexibility in how you bill for usage. Let’s take a closer look at everything we launched.
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Reduce payments costs with Instant Bank Payments via Link
Link’s newest feature, Instant Bank Payments, is priced at 2.6% + 30¢ per successful charge (a discount to cards), allowing you to benefit from the cost savings of bank payments while getting the speed of card transactions.
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Stripe Terminal’s expanding ecosystem: New partnerships bring flexibility and innovation to unified commerce
We’re excited to announce a host of partnerships that allow Terminal to work with more third-party hardware, processors, and point-of-sale (POS) systems. This provides more choice and flexibility for integrating Terminal into your existing in-person payment stack and adding innovative checkout experiences.
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Our top product updates from Stripe Tour New York
We announced expanded interoperability, major upgrades to Stripe Billing, new embedded components for financial services, and a lot more.
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Introducing Stripe’s new API release process
Starting today, we’re introducing a new release cadence and versioning system for all API endpoints that combines twice-yearly major updates with monthly feature enhancements. This set release schedule gives you the predictability and clarity that you need to better plan your engineering cycles.
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Workbench: A new way to debug, monitor, and grow your Stripe integration
We’ve been testing a suite of new developer tools over the last year with thousands of users, including Slack and Notion. Today, we’re announcing that the first is available to all new users by default: Stripe Workbench, our new home for developers within the Dashboard that helps you debug, monitor, and grow your Stripe integration.
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Three ways our usage-based billing product is unique
In this post, we share three ways our usage-based product is unique in the market—integrating naturally alongside your other billing pathways, while scaling with you as your usage-based pricing ambitions grow.
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Introducing no-code migrations to Stripe Billing
Last month we announced a new Billing migration toolkit designed to address your top pain points: engineering resourcing, the risk of disruptive errors, and migration time. Here’s how the migration toolkit addresses each.
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Passkeys, a faster more secure way to log in to the Stripe Dashboard
Today Stripe is launching a new way of logging in that makes it possible to have both speed and security: one-click login using passkeys.
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Platforms can now white label payment workflows in record time
We announced 17 new embedded components that package up our industry-leading payments capabilities and turn what could have been a months-long project for a full team into just a few days of work for one engineer.