Thrilled to introduce nekuda đ„ł
So who are we? Letâs start with a few words about us.
We began our journey by building LangChain agents and trying to get them to pay for items online. We quickly realized that while the potential is huge, using existing payment rails is tough. How tough? Well, for starters, our card got blocked. We also found out the hard way that agents can easily go off rails and act too fast or buy things we never intended. It became clear to us that even though the opportunity for agentic commerce is massive, todayâs infrastructure simply canât unlock it.
Our thesis is pretty simple:
Agent-driven transactions will generate significant commerce volumes across the internet.
Current payment rails create friction for agent-driven transactions.
Our mission is to build new rails that support agents paying on behalf of users.
What are the problems with agents paying?
Letâs start from first principlesâagents are software. But they have a unique property: theyâre non-deterministic. That means you know exactly what input youâre providing (prompt, instructions, etc.), but the outcome is fuzzy and can vary each time.
When we give an agent a means of payment, a useful mental model is delegation: weâre sending software out to purchase something on our behalf. We can instruct agents in many ways: âgo ahead and book,â âgo ahead and buy,â or âclose this for me,â all of which should ideally mean the same thing. The agent needs to interpret our intent and translate it into a deterministic buy action.
In the gap between our intent and the agentâs actual actions, there are two main problems:
Ambiguity: Weâre often less clear than we think we are. This ambiguity will be amplified significantly at scale in agentic commerce.
Fraud Risk: Fraud becomes a bigger issue than it is today. Users might dispute transactions by saying, âI didnât buy itâthe agent did,â or agents could be tricked into making unauthorized purchases. We can also expect new kinds of dark patterns to emerge specifically targeting agents in the future.
Many mistakes â low trust â agentic commerce canât succeed!
So, we need a systematic approach to delegate payments to agents safely. We call this the authorization problem. Our solution: capture the userâs mandate explicitly within every agentic transaction, record it securely, and share it transparently with relevant stakeholders (such as card networks). Our SDK solves exactly this and helps agent developers make sure that their agentic payment system is secure for their users.
We envision agentic commerce developing in three phases:
Discovery focused (Current State): AI primarily helps find products, but humans still finalize transactions, reflecting the traditional e-commerce experience weâve known for decades.
Autonomous checkout (Emerging Now): Browser agents take the next step, handling the checkout process autonomously. This reduces human intervention significantly, creating a new âhuman not presentâ shopping scenario alongside the familiar âcard not presentâ situation.
Fully autonomous commerce (Future Vision): Both consumer-side and merchant-side agents independently negotiate and transact without any human oversight, streamlining commerce to its fullest extent.
Currently, we see three distinct types of commerce agents emerging:
Third-party agents: Platforms that aggregate and simplify online experiences (e.g., Perplexity).
Browser-based agents: Agents manipulating websites directly, automating human-like interactions (e.g., OpenAI Operator).
Platform agents: Created by major merchants or platforms, directly facilitating transactions (e.g., Amazonâs Alexa+).
Our first product directly addresses the second phase: âhuman not presentâ transactions. This is an entirely new challenge because the existing payments ecosystem wasnât built for non-human behavior, significantly increasing errors and transaction declines. Our SDK bridges this gap by capturing explicit user authorization (mandates), securely managing payment credentials, and transparently sharing authorization data with all stakeholders (card networks, issuers, merchants).
Our SDK
Weâre currently rolling out our SDK. If youâre building any type of agent with commerce capabilities (e.g. travel, commerce, procurement), weâre confident our tools can help you build agents with embedded secure payment. At the most basic level, we enable your agents to handle users credit cards, manage transactions smoothly, record user-authorization and equip you with best-in-class tools for agentic commerce. Interested? Feel free to reach out directly to founders@nekuda.ai or message us here:
Weâre also a flagship partner of the Visa intelligent Commerce program for agentic payments. This is the first card network initiative designed specifically for agents. It provides network tokensâtokens that replace traditional credit card numbers and are already widely used by payment processors and wallets like Apple Pay and Google Pay. With these tokens, agents can securely transact on your behalf, ensuring your authorization is always clear and enforceable. The program is innovative, forward-thinking, and weâre proud to be part of it.
Thereâs also been significant momentum from leading industry players: PayPal has showcased its stack using MCP , Mastercard introduced its Agent Pay program for agentic payments , Stripe showcased their Order Intent API for agentic payment, OpenAI launched a commerce program allowing payments directly through ChatGPT , and Amazon unveiled the âBuy for Meâ beta feature, enabling agent-powered purchases via its Nova model . This momentum marks just the beginning of agentic commerce and payments.
Writing
We believe in writing and openly sharing our thoughts about agentic payments, and we plan to continue doing so right here. Weâve attached a few selected pieces from our past work. If youâd like to stay updated, feel free to subscribe.
â the nekuda team


Let the agents pay!
Really sharp take on where commerce is heading, especially highlighting payments as the real bottleneck for agent-driven systems. The focus on the authorization problem makes it clear that trust and intent capture will define how far agentic commerce can actually scale