stripe

20 posts

stripe

Mapping the AI economy (opens in new tab)

Stripe’s data shows that AI companies are expanding internationally at remarkable speed, but the largest markets are not always the most promising growth opportunities. India, Mexico, Poland, the UAE, and South Korea stand out when considering AI spending relative to overall online spending and growth rates. The central conclusion is that global availability starts expansion, while localization—especially payment methods and currencies—drives lasting revenue. ## AI Spending Reveals Emerging Markets - The largest AI-spending markets on Stripe are generally high-GDP countries with strong online commerce and global connectivity. - Looking at AI spending as a share of total Stripe spending highlights less obvious opportunities: - India, Mexico, Poland, and the UAE have unusually high AI spending relative to their overall payment volume. - Brazil, Japan, and South Korea combine substantial absolute AI spending with a high relative share. - These signals can help companies prioritize expansion beyond conventional large-market strategies. ## AI Market Growth Is Broad but Uneven - Among 35 markets with more than $20 million in AI spending by 2024, median year-over-year growth was nearly 100%. - Large markets sometimes grew below the median but still delivered significant absolute expansion: - The United States grew 91%. - Australia grew 61%. - Canada, Germany, and the UK sustained strong growth despite already having considerable AI spending. - South Korea was a particularly attractive market, combining: - 134% growth - A large existing market - AI spending disproportionate to total Stripe spending - Mexico was the standout, with AI spending growth of 264%. Its proximity to the US and lower competitive saturation may make it an appealing expansion target. ## Global Availability Must Be Followed by Localization - Companies can launch globally very quickly. Manus accepted payments in more than 200 countries and territories within a month of its 2025 breakout, reaching a $90 million run rate four months later. - However, maintaining international growth requires adapting products and payment experiences to local markets. - The fastest-growing AI companies use roughly twice as many local payment methods as the broader AI-company cohort. - Stripe data suggests local payment methods can increase: - Conversion by an average of 7.4% - Revenue by an average of 12% - Gamma increased revenue in India by 22% after adding UPI, and more than half of its total revenue now comes from outside the US. - Local-currency pricing also improves results for subscription businesses: - Adaptive Pricing increased initial conversion by 4.7% on average. - It increased lifetime subscription value by 5.4%. - Runway achieved up to 17.7% higher lifetime value per subscription. AI companies should use market size, relative AI demand, and growth momentum to select expansion targets, then invest in local payment methods, currency support, translations, and regional marketing. Global launch creates reach, but deep localization is what turns that reach into durable international revenue.

stripe

Analyzing the evidence that helps businesses win “product not received” disputes (opens in new tab)

“Product not received” disputes are Stripe’s most common nonfraud dispute category, and strong, specific fulfillment evidence is closely associated with higher win rates. Analysis of one million disputes found that physical-goods businesses benefited most from confirmed delivery data, while digital businesses benefited from usage records and processor-verified refunds. The findings suggest businesses should connect fulfillment systems to dispute workflows and submit evidence strategically. ## Delivery Evidence for Physical Goods - Delivery confirmation correlated with a **27 percentage point** higher win rate than disputes without it. - Adding a GPS delivery map increased the lift by another **15 percentage points**. - A recipient signature added a further **2 percentage points**. - Disputes containing all three forms of evidence had a **44 percentage point** higher win rate. - Many businesses fail to provide this evidence because shipping and dispute systems are disconnected, making order matching a manual, difficult-to-scale process. ## Timing of Tracking Evidence - A tracking number is much more persuasive once it shows confirmed delivery. - Evidence submitted after delivery was confirmed correlated with a **27 percentage point** higher win rate. - Evidence submitted while a package was still in transit produced only a **2 percentage point** lift. - If the response window allows, businesses should wait for delivery confirmation. - If early submission is necessary, they should document that the shipment remains within the delivery timeframe agreed to at checkout. ## Evidence for Digital Goods - Digital activity and usage logs—such as records showing that a customer streamed, downloaded, or accessed the purchased product—correlated with a **10 percentage point** higher win rate. - Service documentation, including provisioning records, produced an **8 percentage point** lift. - Specific evidence of consuming the purchased content is stronger than general proof that the customer had access to the service. ## Refund Verification - For digital-goods businesses, evidence of a full refund processed through Stripe correlated with a **63 percentage point** higher win rate. - Refunds issued through other channels, such as store credit, produced only a **6 percentage point** lift. - Processor-issued refunds are more verifiable to card issuers because they leave a record on the card network. ## Stripe’s Automated Approach - Stripe’s Smart Disputes can automatically assemble evidence packets using shipping and fulfillment data. - Businesses can provide a carrier and tracking number, after which Stripe retrieves delivery status, timestamps, and location information from supported providers. - Additional communications or documentation can be combined with the generated packet. - If no action is taken before the deadline, Smart Disputes can submit the response automatically. Businesses should prioritize specific, independently verifiable fulfillment evidence and coordinate submission timing with the actual delivery or usage status.:VEVENT

cloudflare

Temporary Cloudflare Accounts for AI agents (opens in new tab)

Cloudflare introduced Temporary Cloudflare Accounts for AI agents, allowing them to deploy Workers without human-driven signup or authentication. With `wrangler deploy --temporary`, an agent receives a temporary account, API token, and deployment URL, then has 60 minutes to claim the account. If unclaimed, the account and its resources are automatically deleted. ## Why Frictionless Deployment Matters - Background agents often operate without a human available to complete OAuth, copy tokens, or approve MFA. - Temporary deployments support the agent’s rapid write → deploy → verify iteration cycle. - Throwaway environments let agents test code cheaply and independently. - Agent platforms increasingly need deployment workflows that work without requiring users to create accounts on unfamiliar services. ## How Temporary Accounts Work - The feature is integrated into Wrangler, Cloudflare’s CLI for creating, configuring, and deploying projects. - When an unauthenticated deployment encounters the normal signup barrier, Wrangler informs the agent about the `--temporary` option. - Running `wrangler deploy --temporary` provisions: - A temporary Cloudflare account - An API token for Wrangler - A claim URL that can be returned to the user - The temporary account can be reused for multiple deployments during the 60-minute window. ## Agent Deployment and Iteration - An agent can create a TypeScript “Hello World” Worker, deploy it, and use the returned preview URL to verify the result. - It can then modify the source and redeploy without repeating account setup. - Agents can use this loop to test and refine applications autonomously. ## Claiming or Expiring the Account - Users can open the claim link, sign up for or sign in to Cloudflare, and permanently take ownership of the temporary account. - Claiming includes associated Workers, databases, and other bindings. - Unclaimed accounts are automatically deleted after 60 minutes. ## Broader Agent Provisioning Efforts - Cloudflare is also working with Stripe on protocols for agents to create accounts, start subscriptions, register domains, and obtain deployment credentials without manual token or payment entry. - Its collaboration with WorkOS on `auth.md` aims to support agent-driven account creation through established OAuth standards. - Temporary accounts are positioned as one step toward making Cloudflare and other services easier for AI agents to use. Developers should update Wrangler and try `wrangler deploy --temporary` for autonomous, short-lived deployments, while consulting Cloudflare’s documentation for current limitations.

stripe

What Link data tells us about AI spending (opens in new tab)

Link’s survey and transaction data show rapidly growing consumer engagement with AI. Among 250 million Link customers, spending on AI products—especially AI app-building platforms—has surged, with top spenders nearly doubling their monthly AI spending in one quarter. Stripe argues this growth points toward a need for payment infrastructure that allows AI agents to transact on users’ behalf. ### Growing Spending on AI Products - A survey of 394 Link customers found: - 80% had used a chat-based AI agent in the previous month. - 50% used AI for shopping research at least monthly. - The top 10% of AI spenders increased monthly spending from: - $183 in December 2025 - $359 in March 2026 - This cohort previously took 22 months to grow from $84 to $183, but doubled that amount in only three months. - Median spending also rose, from $60 to $72 per month. ### Strong Demand for AI App Builders - Spending growth was even greater for platforms such as Replit, Lovable, and Bolt. - The highest-spending Link customers now spend five times more each month on AI app-building platforms than they did in January 2025. - This suggests users are investing not only in AI tools, but also in platforms that let them create software with AI. ### Payments for AI Agents - As AI agents become more capable and common, they will need to purchase goods and services from businesses and potentially from one another. - Stripe’s Link wallet for agents is designed to support this activity by: - Letting users authorize agent payments. - Providing configurable spending controls. - Giving agents purchasing access across Stripe sellers. - Providing businesses with verified transactions without requiring custom integrations. Stripe’s data indicates that AI adoption is translating into substantial spending, particularly on AI development platforms. Businesses preparing for agent-driven commerce may benefit from supporting secure, user-authorized agent payments.

stripe

New ways to turn global demand into revenue (opens in new tab)

Stripe argues that global expansion is increasingly accessible, but turning international reach into revenue requires solving localization, payment performance, money movement, and compliance challenges. Its Sessions announcements present an integrated set of tools for improving conversion, reducing fraud and costs, managing cross-border funds, and handling tax responsibilities. The overall conclusion is that businesses can scale internationally faster by relying on Stripe’s infrastructure rather than building country-specific systems themselves. ## Localize checkout to improve conversion - Checkout Studio helps businesses tailor checkout experiences to local markets using location data, industry recommendations, and performance tracking. - Stripe supports more than 125 payment methods, including Bizum, BLIK, TWINT, Sunbit, and Pay by Bank. - Stripe reports that showing even one geographically irrelevant payment method can reduce conversion by up to 15%. - Supporting locally preferred methods can significantly improve results: - Pix increases Brazilian conversion by up to 38.3%. - UPI increases Indian conversion by up to 19.8%. - Adaptive Pricing displays prices in customers’ local currencies and manages the associated conversion work. - Businesses see an average 5% increase in authorization rates and a 17.8% increase in cross-border revenue. - Subscription businesses see conversion improve by 4.7% and lifetime value per session increase by 5.4%. - Subscription pricing includes safeguards to keep renewal amounts consistent across billing cycles. ## Increase payment acceptance and reduce fraud - Authorization rates differ by region because of issuer behavior, payment networks, and local card preferences. - Stripe Authorization Boost uses real-time retries, issuer-specific messaging, Data Only authentication, and A/B testing to improve acceptance. - Businesses see an average authorization increase of 3.8%, while some customers reduce processing costs by up to 3.3%. - Stripe Radar detects and blocks risky transactions across cards, bank debits, wallets, buy-now-pay-later services, and stablecoin payments. - In a private preview, Radar reduced fraud by an average of 71% across Klarna, PayPal, Affirm, and Cash App Pay. ## Simplify cross-border money movement - Stripe Treasury lets businesses store, convert, and send funds in multiple currencies and stablecoins from a single account. - Businesses can hold different currencies without maintaining multiple bank accounts, local entities, or converting funds unnecessarily. - Currency conversion is available instantly, around the clock, with transparent rates. - Treasury supports payouts to more than 160 countries and enables employee cards funded directly from Treasury balances. - Stablecoin capabilities allow marketplaces and sellers to accept, hold, spend, and convert stablecoins into currencies such as ARS, COP, EUR, MXN, PHP, and USD. - Treasury operates in more than 120 countries, with stablecoin-backed balances available in 100 countries and planned expansion to 41 more by the end of 2026. ## Handle tax and regulatory compliance - International expansion requires navigating different tax systems, registration thresholds, invoicing rules, filing obligations, and dispute timelines. - Stripe Tax supports businesses that remain the merchant of record by automating: - Tax calculation and collection - Threshold monitoring - Registrations - Filing - It covers more than 100 countries and over 600 product categories, and is used by more than 67,000 companies. - Stripe Managed Payments acts as the merchant of record, handling tax registration, collection, and remittance in more than 80 countries. - Managed Payments also provides fraud protection, dispute management, customer support, and localized checkout. - The service is now available for digital goods and has supported companies including Unity, RevenueCat, and Lovable. Stripe’s broader recommendation is to treat international growth as an integrated operational problem rather than a series of separate country launches. Businesses can use localized checkout, automated payment optimization, Treasury, Stripe Tax, or Managed Payments to reduce infrastructure and compliance work while expanding into new markets.

stripe

Helping businesses optimize network costs with the Visa Digital Commerce Authentication Program (DCAP) (opens in new tab)

Visa’s Digital Commerce Authentication Program (DCAP) rewards US businesses for sharing richer transaction data with issuers during authentication, offering a five-basis-point net interchange reduction on qualifying transactions. However, businesses must balance savings against integration complexity, latency, fraud risk, and authorization rates. Stripe addresses this with transaction-level decisions about when to use Data Only 3DS. ## DCAP’s Opportunity and Complexity - DCAP is designed to reduce card-not-present fraud and improve authorization rates. - Businesses can share data such as: - Device ID - Billing address - IP address - Customer email - Participation requires sending the required cardholder data through frictionless authentication. - Issuers may interpret newer data signals differently, creating uncertainty around performance and latency. - Businesses must evaluate whether interchange savings improve overall transaction economics without reducing conversions. ## Stripe’s Transaction-Level Optimization - Stripe worked with Visa on readiness testing before rolling out DCAP. - Stripe Authorization Boost determines which transactions should use Data Only 3DS. - Data Only 3DS sends additional risk information through the card network to issuers without adding unnecessary customer friction. - Instead of static rules, Authorization Boost evaluates each transaction based on: - Potential cost savings - Conversion impact - Fraud risk - Authorization performance ## Results and Eligibility - Since April 18, Stripe has helped businesses generate $18.4 million in annualized network cost savings. - Collecting and passing the required data increased DCAP-eligible transactions eightfold. - Stripe continues working with Visa to expand eligibility. ## How to Participate - Businesses using Authorization Boost and collecting the required data already receive the optimizations automatically. - Businesses using standalone 3DS can participate by setting `flow_preference[type]` to `data_share` and ensuring all required fields are populated. Businesses should adopt DCAP with transaction-level optimization rather than applying it indiscriminately, maximizing interchange savings while protecting authorization rates and customer conversion.

cloudflare

Agents can now create Cloudflare accounts, buy domains, and deploy (opens in new tab)

Agents can now take an application from development to production by creating Cloudflare accounts, obtaining API tokens, purchasing domains, and deploying code. Cloudflare’s integration with Stripe Projects removes most manual setup while keeping humans involved for permissions, terms acceptance, and payment approvals. The underlying protocol combines service discovery, authorization, and tokenized payments so agents can provision infrastructure on a user’s behalf. ## Zero-to-production deployment - Users install the Stripe CLI, authenticate, and run: ```bash stripe projects init ``` - An agent can then build an application and deploy it to a new domain. - If no Cloudflare account exists, one is provisioned automatically. - If an account already exists, the user authorizes access through OAuth. - The agent can: - Create a Cloudflare account - Obtain an API token - Register a domain - Deploy the application to production - Humans are prompted only when approval, terms acceptance, or payment setup is required. ## The protocol: discovery, authorization, and payment - **Discovery:** Agents query a catalog of available provider services and select the resources needed for the user’s request. - **Authorization:** The orchestrating platform verifies the user’s identity and enables providers to create accounts, connect existing accounts, and issue credentials securely. - **Payment:** Tokenized payment credentials let providers charge the user without exposing raw card details to the agent. - The approach builds on OAuth, OIDC, and payment-tokenization standards. ## Service discovery through a catalog - Agents can inspect available services with: ```bash stripe projects catalog ``` - They can select Cloudflare Registrar with: ```bash stripe projects add cloudflare/registrar:domain ``` - Providers expose service catalogs through REST APIs returning JSON. - This gives agents the context to choose appropriate products without requiring users to know which provider offers them. ## Automatic account creation and authorization - Stripe acts as the identity provider and attests to the user’s identity. - Cloudflare creates a new account automatically when the user has none. - Credentials are securely stored by the Stripe Projects CLI but made available to the agent for authenticated Cloudflare API requests. - Existing Cloudflare users authorize the integration through a conventional OAuth flow. ## Controlled agent spending - Agents never receive the user’s raw credit card information. - Stripe supplies Cloudflare with a payment token for subscriptions and purchases. - Spending is initially capped at $100 per month per provider. - Users can raise the limit and configure Cloudflare Budget Alerts as needed. ## Broader platform integration - The protocol is not limited to Stripe Projects. - Any platform with signed-in users can act as the orchestrator and integrate with Cloudflare. - This enables coding-agent platforms to let users deploy directly to production without requiring separate dashboard logins, token copying, or manual account setup. - Cloudflare is also enhancing the experience through its Code Mode MCP server and Agent Skills. Cloudflare and Stripe’s integration makes infrastructure provisioning an agent-driven workflow while retaining safeguards around identity, consent, and spending. For platforms building coding agents, adopting the protocol could provide a frictionless path from generated code to a live, paid production deployment.

stripe

Everything we announced at Sessions 2026 (opens in new tab)

Stripe announced 288 products and features at Stripe Sessions, focused on making payments more programmable, expanding the protection offered by its global network, and supporting AI-driven commerce. Major launches cover agentic payments, checkout optimization, fraud prevention, in-person payments, and merchant-of-record services. The overall direction is toward infrastructure that supports automated transactions, global commerce, and new usage-based business models. ## Agentic Commerce and Payments - The Agentic Commerce Suite lets businesses upload product catalogs and control how AI agents access them through the Stripe Dashboard. - Platforms can make connected accounts “agent-ready,” with discovery, checkout, payments, and fraud detection handled through one integration. - Partnerships with Meta and Google enable: - Native checkout inside Facebook ads. - Purchases through Google AI Mode and the Gemini app using the Universal Commerce Protocol. - The Machine Payments Protocol supports agent-driven microtransactions, recurring payments, and other programmatic transactions. - Agents can pay using stablecoins or fiat payment methods, including cards, Klarna, and Affirm, through Shared Payment Tokens and the PaymentIntents API. ## Link and Checkout Improvements - Businesses can authorize agents to pay through Link’s agent wallet while retaining spending controls and purchase visibility. - Link adds Pix and stablecoin support for US businesses, with UPI support in India previewed. - A new Dashboard view shows Link’s effect on conversion, authorization rates, and payment costs. - Checkout Studio will use AI assistance, transaction replay, A/B testing, and recommendations to configure and improve checkouts. - Stripe previewed an embedded Checkout form for interfaces such as sidebars, chat boxes, and modals. - More payment methods now support subscriptions, localized currencies, and cross-border payments, including Pix, UPI, Bizum, BLIK, Pay by Bank, and TWINT. - Adaptive Pricing AI can detect a customer’s preferred currency and localize subscription prices. ## Stripe Terminal and Managed Payments - The Stripe Reader T600 includes an eight-inch screen and can run custom applications for loyalty programs and upselling. - Terminal expands to 15 additional markets and adds payment methods such as Alipay, Klarna, and UnionPay International. - Standalone mode will allow businesses to accept payments without building a point-of-sale system. - Stripe Managed Payments is now available to all digital businesses as a merchant-of-record solution, handling indirect tax compliance in more than 80 countries, fraud, disputes, and customer support. ## Payments Optimization and Intelligence - Businesses can A/B test Authorization Boost against their existing payment performance. - New AI optimizations, including Data Only authentication and PINless debit retries, reportedly increase acceptance rates by an average of 3.8% and reduce processing costs by up to 3.3%. - Stripe 3DS can now be used independently for payments processed by another provider. - The Dashboard assistant can investigate payment performance, identify root causes, and recommend actions using natural language. ## Expanded Fraud Protection with Radar Stripe’s Radar upgrades target newer forms of abuse, including token misuse, account fraud, trial abuse, and fraudulent AI-agent activity. - Free-trial abuse prevention identifies risky trials without unnecessarily blocking legitimate customers. - Radar Signals can detect fraudulent payments, predict disputes and early fraud warnings, identify pay-as-you-go abuse, and detect multi-account or account-sharing behavior. - New merchant signals assess risks such as merchant delinquency and suspicious websites using LLM-powered analysis. - Stripe Issuing authorization signals extend fraud prediction to cards issued by other banks, fintechs, and payment providers. - Radar protection now covers additional payment types, including bank debits, wallets, BNPL, and stablecoins. - Custom Radar models combine a company’s own data with Stripe’s network intelligence. - Improved Checkout interventions use targeted measures such as CAPTCHAs to reduce fraud with less impact on conversion. - Smart Disputes can recommend evidence such as tracking numbers and usage logs, while an evidence library stores reusable documents like terms and conditions. ## Revenue and AI-Native Business Models Stripe also began upgrading its Revenue suite for AI-focused businesses. The announced direction includes real-time metering, rating, alerting, streaming payments, dimensional pricing, new Billing customizations, and broader access to query-ready data. The supplied post ends before detailing these Revenue features. Stripe’s announcements point toward a unified platform for global, automated commerce: businesses can sell through agents, optimize payments with AI, extend fraud controls across payment networks, and support flexible pricing models. Companies building AI products or international digital businesses should evaluate the new agentic commerce, Radar, Checkout, and Managed Payments capabilities as they become available.

stripe

How agents, digital wallets, and trust are rewriting checkout (opens in new tab)

The internet economy is reshaping checkout around mobile purchasing, digital wallets, local payment preferences, and AI-assisted shopping. Stripe’s analysis of nearly 20,000 B2C businesses shows that customers increasingly complete expensive purchases on mobile, expect region-specific payment options, and are becoming more open to buying through AI agents. Businesses that adapt checkout to local behavior and manage fraud intelligently can improve conversion while reducing unnecessary declines. ## Mobile Checkout Is Expanding to Higher-Value Purchases - Mobile dominates purchases under $50, but shoppers are increasingly using phones for purchases over $500. - This trend is strongest in APAC and EMEA, where mobile is already the preferred checkout device. - In the US, mobile gained share across every purchase range measured over the past two years. - Canada is an exception, with shoppers more likely to switch to desktop for purchases between $100 and $249. ## Digital Wallets Depend on Region and Generation - Digital wallets represent roughly 30% of global point-of-sale volume. - Sixty-one percent of surveyed shoppers said they would use a digital wallet. - Younger shoppers are especially likely to use wallets, including for purchases over $250. - Wallets cut average mobile checkout time in half, making speed a major advantage. - Preferences vary by market, from MB WAY in Portugal and MobilePay in Denmark to Alipay in China. - Businesses need to support the wallet mix that is actually popular in each region rather than relying only on Apple Pay, Google Pay, and similar global options. ## Localization Requires the Right Payment Mix - Forty-five percent of surveyed consumers made at least one international online purchase in the previous year. - International demand does not guarantee conversion; checkout must match local expectations for currency, payment methods, and presentation. - Markets such as Indonesia and Vietnam have fragmented preferences across wallets, bank transfers, debit-linked apps, and other local methods. - In more concentrated markets, conversion may depend heavily on supporting one dominant payment method. - Showing an irrelevant payment option can reduce conversion by up to 15%. - Supporting local leaders can significantly improve results: - BLIK increased Polish checkout conversion by an average of 46%. - Pix increased Brazilian checkout conversion by an average of 31%. ## AI Agents Are Changing Checkout and Payment Risk - Consumers are increasingly open to AI agents helping with purchase decisions. - Shopping and product discovery are moving into tools such as Google Gemini, Microsoft Copilot, visual search systems, and retailer-specific assistants. - Automated fraud, including card testing, is becoming easier to scale. - Overly strict risk controls can reject legitimate customers along with fraudulent transactions. - New payment models use more real-time signals, selective authentication, and improved routing and retries to balance fraud prevention with conversion. - Stripe reports that its AI-driven interventions can reduce fraud by 30% without lowering conversion. ## Checkout Becomes a Verification Layer Checkout is evolving beyond a final payment screen into a system that verifies identity, purchase intent, and authorization. Businesses should prioritize mobile performance, offer payment methods that reflect each market’s behavior, and prepare for transactions initiated by AI agents. The strongest checkout experiences will be fast, locally relevant, and capable of distinguishing legitimate buyers from automated fraud.

stripe

Insights from Shoptalk 2026: How agents are changing retail (opens in new tab)

Agentic commerce is already reshaping retail, especially product discovery, embedded checkout, and customer engagement across AI-powered surfaces. However, retailers still lack a common strategy for managing product data, choosing channels, and deciding between first-party and third-party agent experiences. The article argues that success will depend not only on agent-compatible infrastructure, but also on strong brands, unified customer data, and frictionless checkout. ## Agentic Commerce Needs a Standard Framework - Retailers are experimenting with where to begin, which partners to use, and how to syndicate accurate product data across AI platforms. - Search and discovery are changing quickly: - Sephora is using loyalty data in its ChatGPT app to personalize recommendations and highlight benefits such as samples and free shipping. - OpenAI reported that more than half of its searches are discovery-oriented, with 70% containing detailed constraints or context. - AI agents increasingly function as storefronts. Brands that are not discoverable through these systems risk losing visibility. - Direct product feeds are becoming important because they provide agents with more structured and current information than web crawling. - Stripe’s Agentic Commerce Suite allows retailers to connect catalogs and syndicate them across supported agents without building separate integrations. - Many companies are using test-and-learn programs to measure how products are discovered, recommended, and purchased through AI surfaces. ## Commerce Is Expanding Beyond Chat Interfaces - Agentic commerce is appearing across: - Embedded checkout - Product discovery - Customer service - Catalog enrichment - Post-purchase systems - Meta demonstrated a Facebook checkout flow using the Agentic Commerce Protocol, allowing shoppers to move from an ad to product information, AI-generated review summaries, and in-app purchase. - New consumer brands may increasingly be built on agentic infrastructure, reducing customer acquisition costs and dependence on standalone websites. - Retailers must decide how much to invest in first-party experiences versus third-party agents across categories such as fashion, beauty, and home goods. - The market is unlikely to be controlled by one large language model or channel; instead, commerce will spread across many specialized applications and surfaces. ## Brand Trust Becomes More Important - As AI simplifies comparison shopping, trust, consistency, and emotional connection will play a larger role in brand selection. - New Balance is emphasizing consistent quality, store improvements, and better-trained associates rather than relying primarily on discounts. - Tapestry is studying Gen Z to maintain Coach’s relevance, while Victoria’s Secret is focusing on comforting, confidence-building store experiences. - Stitch Fix is using first-party customer data to power Stitch Fix Vision, an AI tool for personalized outfit visualization. - Retailers will need unified customer data and systems that preserve identity and context across websites, stores, apps, and AI agents. ## Checkout and Commerce Infrastructure Remain Fundamental - Customers arriving through agent-driven journeys may be ready to buy and less tolerant of checkout friction. - Stripe says its Optimized Checkout Suite selects payment methods using more than 100 signals and typically increases conversion by 2%–3%. - Core requirements remain unchanged: - Fast, branded checkout - Relevant payment methods - Effective fraud prevention - Connected online, in-store, and in-app commerce data - Stripe’s Agentic Commerce Suite is designed to let businesses connect their catalog and commerce systems once, then expand into compatible agents and channels. Retailers should begin with structured product data, measurable experiments, unified customer systems, and a frictionless checkout experience. Agentic channels are developing rapidly, but durable brand value and strong commerce fundamentals will remain essential as those channels multiply.

stripe

How Stripe Radar helps prevent free trial abuse (opens in new tab)

Free trial abuse is accelerating, particularly among AI companies whose trials provide access to costly compute resources. Stripe detected 6.2 times more abusive trials between November 2025 and February 2026, with self-serve AI startups facing especially high exposure. Stripe argues that AI-powered fraud detection can identify abuse at signup and prevent substantial downstream losses. ## The rise of free trial abuse - Fraudsters increasingly cycle through free trials or use invalid payment methods without converting to paid plans. - AI companies are especially vulnerable because free trials can grant access to expensive compute and APIs. - AI startups with self-serve signup and direct API access experience 10 times more attempted abuse than enterprise AI companies. - Similar patterns affect SaaS companies, marketplaces, and other businesses offering free trials. ## Stripe Radar’s abuse-prevention controls - Stripe Radar now offers a one-click control to detect behavior violating common trial terms, including repeated signups and missed cancellations. - The system predicts abusive behavior with 90% accuracy. - A new analytics page displays blocked high-risk payments and, for unenrolled businesses, shows transactions that would have been blocked. - The model analyzes payment instruments, devices, payment history, card BIN data, virtual card indicators, email domains, session timing, and other risk signals across Stripe’s network. ## Results for AI companies - Cursor and other AI businesses use Radar to block suspicious users before they consume costly compute. - Within two months, Stripe blocked over 550,000 high-risk free trials across four high-growth AI companies. - Stripe estimates this prevented $4.4 million in downstream compute-related losses. Stripe recommends its free trial abuse control for businesses across industries. Companies interested in early access can contact Stripe directly.

stripe

Three of the biggest fraud trends from MRC Vegas 2026 (opens in new tab)

Fraud is becoming more automated, adaptive, and difficult to detect with traditional rules-based systems. At MRC Vegas 2026, leading fraud teams emphasized dynamic authentication, fraud controls embedded directly into agentic payments, and layered identity verification to address deepfakes and synthetic identities. The common goal is to reduce friction for trusted customers while applying stronger defenses where risk is highest. ## Dynamic Authentication Based on User Intent - Universal authentication creates unnecessary friction, increases false positives, and can cause businesses to lose legitimate customers and their long-term value. - Airbnb advocates building behavioral profiles over time to measure “high-trust velocity”—the likelihood that a user’s activity reflects legitimate intent. - Trusted users can proceed without additional challenges, while authentication is reserved for the small percentage of traffic proven to be risky. - Stripe Radar’s adaptive 3DS uses AI to trigger authentication only when transaction behavior appears unusual. - Stripe reports that eligible businesses have seen fraud reductions of more than 30% with this approach. ## Fraud Detection for Agentic Commerce - Ashley Furniture’s existing rules-based system handled different authorization needs for quick-ship products and custom orders. - That model became insufficient when AI agents began making purchases across channels. - Fraud detection must be part of the payment infrastructure and evaluate transactions in real time, rather than analyzing them only after purchase. - Stripe Shared Payment Tokens let agents use a customer’s saved payment method without exposing payment credentials. - Combined with Stripe Radar, these tokens transmit risk signals such as potential disputes, card testing, stolen-card usage, and issuer declines. - These signals help distinguish legitimate, high-intent agents from low-trust automated bots. ## Deepfakes and Synthetic Identity Fraud - Fake identities are easier to create because criminals can access document templates and generative AI impersonation tools. - Fraudsters may produce convincing fake IDs, images, voices, and videos with limited resources. - Effective verification depends on identifying inconsistencies that forgeries fail to reproduce, such as incorrect signatures, mirrored photos, or mismatched expiration dates. - No single verification check is reliable enough; multiple independent checks are necessary. - Stripe Identity uses AI to detect fake documents and spoofed photos, compare ID images with selfies, and validate Social Security numbers and addresses against databases. Businesses should replace blanket controls with risk-sensitive interventions: minimize friction for trusted users, integrate fraud detection into agent-driven payment flows, and use layered identity verification to catch increasingly convincing forgeries.

stripe

Testing the impact of Adaptive Pricing across 1.5M subscription checkout sessions (opens in new tab)

Subscription businesses face major operational and payment challenges when pricing internationally, especially because exchange rates fluctuate across recurring billing cycles. Stripe’s Adaptive Pricing addresses this by displaying and charging customers in local currencies while managing FX conversion and renewal stability. An analysis of 1.5 million checkout sessions found that it increased signup conversion, payment authorization, and subscription lifetime value. ## The Challenge of Localized Subscription Pricing - Localizing prices requires businesses to manage: - FX risk and conversion fees - Currency-specific price lists - Ongoing accounting, reconciliation, and reporting - Subscriptions are more complex than one-time purchases because prices must remain predictable at every renewal. - Cross-border charges are more likely to fail than local-currency transactions. - In 2025, 80% of subscription transactions were still priced in a company’s default currency. ## How Adaptive Pricing Works - Stripe’s Adaptive Pricing, available through the Optimized Checkout Suite, automatically displays prices in a customer’s local currency. - Stripe handles currency conversion and related operational work. - A stability buffer helps keep renewal amounts consistent despite exchange-rate changes. - For example, a Brazilian customer might continue paying R$49.60 per month rather than seeing a different converted amount each billing cycle. - Significant exchange-rate movements can still cause a renewal amount to change, similar to adjustments made by card issuers. ## Measured Signup Improvements Stripe analyzed 1.5 million subscription checkout sessions, comparing Adaptive Pricing with a randomized 1% holdback group. - Average conversion increased by 4.7%. - Average payment authorization increased by 1.9%. - Lifetime value per checkout session increased by 5.4%. - Some businesses saw LTV gains above 30%. - Runway reported a 14% increase in LTV per session and 17.7% more LTV per subscription. Local prices reduce the need for customers to mentally convert costs and make recurring commitments feel more transparent. Charging locally can also improve authorization rates because cross-border payments are more likely to be declined. ## Retention and Long-Term Value - Customers who paid in local currency showed consistently higher retention than those charged in a company’s default currency. - Better signup conversion combined with more successful renewals increases the value generated by each checkout session. - Even small improvements in initial conversion and payment approval can compound into meaningful gains in subscription LTV. ## Scaling Globally - Businesses that do not localize subscription prices may be losing international revenue. - Adaptive Pricing lets companies offer local-currency pricing without building their own FX systems, currency-specific price catalogs, or renewal logic. - Stripe reports that more than 500,000 businesses, including over 16,000 subscription companies such as Cursor, Perplexity, and Runway, use Adaptive Pricing. For subscription companies expanding internationally, localized pricing can improve both initial purchase performance and long-term subscriber value while reducing the complexity of managing global billing.

stripe

Introducing the Machine Payments Protocol (opens in new tab)

AI agents are moving beyond chatbots toward autonomous systems that plan, act, and evaluate results, creating demand for agent-friendly commerce. Stripe and Tempo are launching the Machine Payments Protocol (MPP), an open standard that lets agents make programmatic payments to businesses and services. MPP supports microtransactions, recurring payments, stablecoins, fiat, and existing Stripe payment methods without requiring human intervention. ## The Challenge of Agent Payments - Traditional financial workflows are designed for humans. - Agents often cannot independently: - Create accounts - Navigate pricing and subscription options - Enter payment details - Configure billing - These obstacles limit agents’ ability to purchase services and participate in the internet economy. ## How the Machine Payments Protocol Works - An agent requests a resource from a service, API, MCP server, or other HTTP endpoint. - The service returns a payment request. - The agent authorizes payment. - The requested resource is delivered automatically. - Stripe businesses can integrate MPP through the PaymentIntents API with only a few lines of code. - Payments appear in Stripe’s existing API and Dashboard and settle through the business’s normal balance, currency, and payout schedule. - Standard Stripe capabilities remain available, including tax calculation, fraud protection, reporting, accounting integrations, and refunds. ## New Agentic Business Models MPP is already enabling agents to pay for services such as: - Browserbase: headless browsers billed per session - PostalForm: printing and mailing physical documents - Prospect Butcher Co.: ordering food for pickup or delivery in New York City - Stripe Climate: making programmatic contributions - Parallel Web Systems: paying per API call for web access Payments can use stablecoins, cards, buy now, pay later methods, and Shared Payment Tokens. ## Stripe’s Agent Economy Infrastructure Stripe positions MPP alongside its broader Agentic Commerce Suite, Agentic Commerce Protocol, MCP integrations, and support for x402. Together, these tools are intended to help businesses sell directly to agents and support new automated commerce patterns. Businesses interested in enabling agent payments can review Stripe’s MPP documentation and join the early-access program.

stripe

10 things we learned building for the first generation of agentic commerce (opens in new tab)

AI-driven commerce is emerging quickly, but making it reliable requires much more than adding an AI checkout button. Sellers must manage fragmented catalog integrations, real-time inventory and variant data, evolving protocols, secure payment tokens, fraud detection, fulfillment, and post-purchase operations. The central recommendation is to use adaptable infrastructure and begin with a limited, measurable product selection rather than launching an entire catalog at once. ## Catalog Integration and Data Quality - Product catalogs are the entry point for AI agents, but each agent may require a different format, such as: - SFTP file drops - Custom APIs - Agent-specific feed specifications - Reformatting the same catalog for multiple agents creates a costly maintenance burden. - Reliable “ingestion-ready” data determines whether products appear consistently across AI shopping surfaces. - A shared commerce layer can syndicate one catalog across supported agents and eliminate duplicate integrations. ## Real-Time Inventory and Product Variants - Agents need to verify current availability immediately before presenting checkout options. - Inventory becomes harder to manage when products include combinations of: - Sizes - Colors - Customizations - Variant-specific availability - Checkout APIs must support real-time availability checks and alternative recommendations when a particular configuration is unavailable. - Real-time accuracy is essential for customer trust and brand reputation. ## Protocol Evolution and Compatibility - Agentic commerce protocols are changing rapidly, with new releases adding payment handlers, scoped tokens, discounts, buyer authentication, and transport methods. - Sellers risk creating “zombie integrations” that become obsolete when an AI platform changes direction. - A protocol-agnostic commerce layer can help businesses support standards such as ACP and Google’s UCP without rebuilding their systems for every change. ## Secure Payments Through Shared Payment Tokens - Shared Payment Tokens allow agents to initiate payments with a buyer’s permission without exposing payment credentials. - The token layer connects AI agents to existing payment rails while limiting transaction scope. - Agentic commerce requires more than payment authorization; systems must also support: - Product discovery - Checkout state management - Shipping - Returns and refunds - The broader infrastructure must cover the full transaction lifecycle. ## Fraud Detection Without Human Browser Signals - Traditional fraud tools often depend on signals such as mouse movements, browser fingerprints, device details, and window size. - Those signals disappear when an AI agent performs the transaction. - Network-level payment history can provide risk context even when a purchase is new to a particular seller. - Shared Payment Tokens allow fraud systems such as Radar to evaluate agentic purchases similarly to traditional checkout transactions. - Early deployments with major retailers reportedly experienced fraud rates near zero. ## Start with a Focused Product Selection - Sellers should avoid enabling their entire catalog immediately. - A practical launch strategy is to: - Select a small group of high-conversion SKUs - Use simple products with direct-to-home fulfillment - Monitor conversion, inventory behavior, payment methods, and fulfillment issues - URBN initially focused on popular categories such as dresses and denim rather than its full range, which also includes complex products like plants and custom furniture. - Early launches should function as controlled experiments that produce data for broader expansion. ## A Strategic Shift in Retail Discovery - Agentic commerce moves buying intent from stores, websites, and branded mobile apps onto AI platforms. - This changes how sellers must approach: - Product discovery - Brand control - Trust - Dispute resolution - The relationship between the seller and customer - Agents increasingly mediate product selection and purchase decisions, requiring sellers to adapt their commerce strategy beyond the traditional storefront. Sellers should treat agentic commerce as an evolving channel rather than a one-time integration. Start with reliable data, a narrow product scope, secure tokenized payments, and infrastructure that can absorb protocol changes before scaling to more products and complex fulfillment scenarios.