Supertab

The Rise of Agentic Payment Infrastructure 💡 The goal is simple to describe, hard to achieve: agents that transact autonomously — verifying, approving, and settling payments in real time. Today’s reality: most agentic workflows break down when they reach the transaction layer. Payments are built for human inputs — passwords, card details, manual approvals. The fintech rails are not agent-native. So what do we need to change? 🔹 Identity – Agents must be verifiable: who is acting? What is this AI agent’s purpose? 🔹 Permissions – Clear spending limits and rules of engagement 🔹 Wallets – Programmable funding sources with built-in controls 🔹 Payment rails – Real-time, API-triggerable, built for agents not humans 🔹 Compliance & trust infra – Know Your Agent (KYA), audit logs, risk checks that regulators accept. A big piece of this will be KYA and how to authenticate agents. For agents to transact autonomously, counterparties need to know where the agent comes from, who it is acting on behalf of, and what it is allowed to do. One way to achieve this is through an agent ID or sometimes called a passport - a digital credential that specifies who owns the agent, exactly which agent instance is acting (e.g. a travel bot vs a procurement bot), and what actions it is allowed to perform (such as spending limits, approved merchants, or data access). Until KYA systems like this are widely adopted, most agentic payments will still require a human to step in at critical points. 🔹 Metering & billing – usage-based pricing and outcome-based payments Agentic payments are not only about agents paying online. They are also about agents being paid. If an AI travel agent books a flight for you, or an AI marketing agent optimises campaigns, those services themselves need to be metered, billed, and compensated. This flips the perspective: payments infra must support both sides — agents acting as buyers and agents acting as sellers of services. That means two intertwined problems: 🔸 Agent spending – how an AI reliably executes payments on behalf of a human or company (discussed above) 🔸 Agent earning – how the AI gets credited, invoiced, or rewarded for outcomes delivered. The second piece opens the door to agent metering and billing infrastructure. Instead of flat SaaS fees, we expect usage-based or outcome-based pricing (e.g. “€0.10 per lead validated,” or “1% of ad spend optimised”). We believe this will give rise to a new generation of agent-native companies building metering, billing, and compensation systems. Source: Laura Salesse x Eight Roads - https://shorturl.at/imAEL #Innovation #Fintech #Banking #OpenBanking #API #FinancialServices #Payments #Cards #AI #GenAI #LLM #KYA #Agentic #Agents 

Years ago, online news publishers chose subscriptions as a way to survive. A recent Pew Research Center survey found that they’re not working for most outlets. Cybernews asks Supertab's Erick D. McAfee: Is there a third way? Read the full article at the link in the comments!

The AI revolution is here. The only question is: who is paying for it? Cosmin Ene recently wrote for Unite.AI and asked the question: who pays for AI, and what does that mean for the industry - and for users? Read the full article at the link in the comments.

How is AI impacting pricing models? Our very own Cosmin Ene spoke with IT Brew about how AI companies are approaching pricing and monetization. Find out how tech leaders are incorporating customers into their pricing models at the link in the comments!

What happens when monetization models can’t keep up with user behavior? That’s the question our founder and CEO, Cosmin Ene, tackles on the latest episode of The Digital Executive podcast. Listen at the link in the comments to find out why traditional revenue models are falling short and how Supertab is filling the gap, how seamless monetization baked into the Google ecosystem is enabling publishers and platforms to earn without slowing users down and how the future is going to be built on autonomous AI agents that transact, negotiate and create value on their own.

New Purchase Flow + Tab Auto-Closing = More Conversions, More Revenue We’ve upgraded Supertab’s purchase flow! Now every transaction is clearer for users — and more valuable for merchants. -Unified purchase experience across all setups -Early card capture for smoother repeat payments -Auto-closing Tabs after 30 days to unlock trapped funds Better flow. Better experience. More revenue. Dive into the details at the link in the comments!

Most SaaS startups don’t fail because the product doesn’t work. They fail because the pricing doesn’t. Your pricing model isn’t just about WHAT to charge. It’s how you align with users, fuel growth, and avoid churn. Whether you’re launching freemium or selling by the seat, each model comes with trade-offs. Most pricing models create friction. Supertab does the opposite. Users open a tab, use freely, and pay only when they hit $5 — no forced signups, no surprise bills. Built for products that want to earn from every user, not just subscribers. SaaS pricing shouldn’t be a guessing game. Let users decide what they value. Capture more, churn less. https://lnkd.in/et46cHWm

Supertab and the Local Media Consortium have partnered to introduce new revenue models for local journalism. The partnership aims to address monetization challenges faced by media outlets and content creators, offering a microtransaction platform to increase revenue and engagement. Fran Wills, CEO of LMC, said the partnership provides a model tailored for today's audiences, emphasizing flexibility and ease-of-use. Cosmin Ene, CEO of Supertab, highlighted the importance of transactional models in the digital era, aiming to strengthen local journalism. Read more: https://lnkd.in/evwWjRXu 📰 Subscribe to the weekly Enterprise AI Brief: https://lnkd.in/entJYxQv #ai #artificialintelligence #ainews #EnterpriseAI

Subscriptions, pay-per-use, one-off passes… which do YOU actually prefer as a customer? We spend a lot of time thinking about monetization models. Every one of us is also a user. We subscribe, cancel, pay once, or skip entirely. And those decisions say a lot about where the Internet is headed. So we’re curious: -What’s the last subscription you canceled? -What’s something you were happy to pay for just once? -And is there a service you’d actually pay more for if it worked on your terms? The answers aren’t just interesting—they help shape how products are built for all of us. Drop your thoughts, we’d love to hear them.