Agentspay

Explainer

Stripe MCP Server, Shopify MCP Server and PayPal MCP Server Compared for AI Agent Payments

Every large payment company shipped an MCP server in the last eighteen months, and almost every write-up of them is a setup tutorial. The setup is the easy part. The question worth answering before you connect one to a production account is narrower and much less comfortable: what, exactly, can the model on the other end of that connection do to your money?

Agent Payments Console

Pick an agent

Payment intent

intent:

Policy evaluation

Human approval required

This spend is over your approval threshold. Approve it to issue a scoped card, or deny it.

Scoped virtual card issued

Agentspay

single-use

Wallet budget

spent of

Audit trail

In short

A payment MCP server is a Model Context Protocol endpoint published by a payment provider that turns its REST API into tools an AI agent can call in natural language. As of September 2026 the hosted ones we could reach are Stripe at mcp.stripe.com, PayPal at mcp.paypal.com, Checkout.com at mcp.checkout.com and Square at mcp.squareup.com, all four gated by OAuth. Shopify runs no central host: its storefront MCP lives on each merchant domain at /api/mcp and answered us without any authentication at all. Adyen ships a local stdio server you run yourself with npx rather than a hosted endpoint, and we found no MCP host for Klarna or Plaid. The important finding is what they have in common. Stripe exposes a generic stripe_api_write tool covering any POST, PATCH, PUT or DELETE method. PayPal exposes create_order, pay_order and create_refund. Square publishes 49 OAuth scopes including PAYMENTS_WRITE and BANK_ACCOUNTS_WRITE. Not one of them enforces a spending limit, a budget, a counterparty allowlist or an approval threshold. Access control is all-or-nothing at the credential, and the amount is whatever the model decides to type.

What is a payment MCP server?

The Model Context Protocol is a standard way for an AI application to discover and call tools on a remote server. A payment MCP server is that pattern applied to a payments API: instead of your engineers writing a client for eighty REST endpoints, the provider publishes a server that advertises its capabilities, and the model calls them. In practice a developer types something like create a payment link for 40 dollars for the annual plan, and the tool call goes out. That is genuinely useful, and it is why stripe mcp server and shopify mcp server are now among the most searched developer terms in payments. It is also why the security model deserves more attention than it usually gets, because the thing sitting between your API key and your bank balance is a language model interpreting a sentence.

How we probed them, and why the control path matters

We ran every host in this page through the same pass in September 2026 rather than repeating vendor marketing. For each candidate we requested the conventional hosted address, requested /.well-known/oauth-protected-resource (the discovery document the MCP authorization spec requires a protected server to publish), and sent a real JSON-RPC initialize frame where a GET was refused. We also sent every host a randomly generated nonsense path. That control is not optional. Plenty of marketing sites answer HTTP 200 with HTML for any URL you invent, and without a control request you will publish a catch-all web server as protocol support. We have made that mistake before and corrected it in public. On this run the control returned 404 or 400 on every host that answered, so nothing in the table below is a false positive.

Stripe MCP server: one generic write tool over most of the API

Stripe hosts a remote server at https://mcp.stripe.com. Our unauthenticated GET returned 401 with a JSON body pointing at the docs, and the OAuth discovery document resolved to an authorization server at access.stripe.com/mcp. Clients authenticate with OAuth, or with a restricted API key as a bearer token where the client cannot do OAuth. The design choice worth understanding is the tool surface. Rather than publish one tool per endpoint, Stripe publishes stripe_api_read and stripe_api_write, where write is documented as covering any Stripe API POST, PATCH, PUT and DELETE method. That keeps the context window small, which is a real engineering win, and it means the blast radius of the connection is the intersection of your key permissions and the model's judgment. The supported method list includes creating refunds, Checkout Sessions, payment links, subscriptions, invoices and webhook endpoints. Stripe is candid about this in its own documentation, advising you to enable human confirmation of tools and to exercise caution when using the Stripe MCP alongside other servers because of prompt injection.

Shopify MCP server: no central host, and no authentication on the stores we tested

This is the finding that surprised us. mcp.shopify.com returned 404 for everything, including the OAuth discovery document, so there is no central Shopify MCP host to point a client at. The storefront MCP is instead published per merchant at https://<store-domain>/api/mcp, and it is not gated. We sent an unauthenticated tools/list to four live US storefronts. Brooklinen answered with five tools, including search_catalog, get_product_details, get_cart and update_cart. Allbirds answered with exactly one, search_shop_policies_and_faqs. Gymshark and Red Bull returned 404. Same platform, four very different postures, and the merchants exposing a cart-write tool to anyone on the internet may not all have made that choice deliberately. If you run a Shopify store, sending that one request to your own domain is a five second check worth doing today.

PayPal MCP server: the most explicitly money-moving tool list

PayPal hosts https://mcp.paypal.com for production and a sandbox host alongside it. Our GET returned a 302 to the developer site, but the OAuth discovery document resolved cleanly with scopes_supported of openid, email and profile, so the endpoint is live and protected. Where Stripe collapses everything behind one generic write tool, PayPal names each capability, and reading the catalog is instructive: create_order, pay_order which captures payment on an authorized order, create_refund, create_invoice, send_invoice, create_subscription, cancel_subscription, accept_dispute_claim, and on the remote commerce side create_cart and checkout_cart. An agent holding that connection can capture a payment, refund one, bill a customer on a recurring schedule and concede a dispute. Those are all legitimate operations. None of them is bounded by an amount. For the merchant-facing side of PayPal's agent strategy, see our write-up of PayPal agentic commerce.

Square MCP server: 49 published scopes, and the list is the warning

Square hosts https://mcp.squareup.com, and it is the only provider in the set whose OAuth discovery document publishes its full permission vocabulary without authentication. There are 49 scopes. Twenty-two of them end in _WRITE. The ones that should stop a finance team include PAYMENTS_WRITE, PAYMENTS_WRITE_ADDITIONAL_RECIPIENTS, PAYMENTS_WRITE_SHARED_ONFILE, BANK_ACCOUNTS_WRITE, INVOICES_WRITE, SUBSCRIPTIONS_WRITE, DISPUTES_WRITE, GIFTCARDS_WRITE and MERCHANT_PROFILE_WRITE. Square deserves credit here rather than criticism: granular scopes are the right primitive, and publishing them openly is better practice than hiding them. The point is what a scope can and cannot express. PAYMENTS_WRITE is a yes or no. It cannot say yes up to 500 dollars a day, and no to a counterparty this agent has never paid before.

Checkout.com and Adyen: one hosted, one you run yourself

Checkout.com turned out to be the most protocol-correct host in the set. https://mcp.checkout.com refuses GET with a 405, which is exactly what a Streamable HTTP transport should do, and a proper JSON-RPC initialize frame came back with {"code":-32001,"message":"Missing Bearer token"}. Its authorization server is access.mcp.checkout.com/payment-operations and its published scopes include one named mcp_full_access, which tells you the granularity on offer. Adyen went a different way entirely: mcp.adyen.com does not resolve, because Adyen ships a local TypeScript server you run yourself with npx -y @adyen/mcp. It covers Checkout sessions, payment links and modifications including cancels and refunds, plus Management API surface, and it authenticates with an API key from a webservice user whose roles you assign. Adyen explicitly recommends creating a dedicated webservice user and limiting its roles to the tools you actually need, which is the best security guidance any of these vendors gives. Roles are still a capability list, not a budget. Adyen's wider merchant push is covered on our agentic checkout page.

Which payment MCP server should you use?

Match it to the job rather than to the brand. If your agent is doing back office work on your own account, reconciling, drafting refunds, answering support questions about a charge, Stripe's server is the most capable and its restricted API key path gives you the cleanest way to hand over a narrow credential. If you are billing customers, PayPal's named tools are easier to reason about than a generic write tool precisely because each capability is visible in the tool list rather than implied. If you run on Square, use the scope list as a checklist and grant the smallest set that works. If you are on Adyen, the local server plus a role-limited webservice user is the tightest configuration available anywhere in this comparison. And if you sell on Shopify, treat the storefront MCP as a public surface, because on the stores we tested it is one. None of these choices answers the question in the next section.

None of them enforces a spending limit

We looked for one on every server here. There is no budget, no per-transaction ceiling, no cumulative cap over a window, no counterparty allowlist, no velocity rule and no approval threshold in any of them. That is the correct decision at their layer, for the same reason it was correct for ACP, AP2 and x402: a payments API that tried to encode your finance policy would be worse at both jobs. It is still a hole at the program level, and MCP widens it in a specific way. A REST integration fails closed when the code has no path to an endpoint. An MCP integration fails open, because the model has a generic write tool and a plausible sentence is all that stands between an instruction and an API call. That is why prompt injection is not a theoretical concern here: the same paragraph that convinces a model to issue a refund is content it might read from a support ticket, a webpage or another MCP server in the same session.

How to give an agent a payment tool without giving it your balance

The design that holds up separates capability from authority. A credential says what an agent can call. A policy says whether this particular call, right now, for this amount, to this counterparty, is allowed. Keep those in different systems and you can hand an agent a genuinely useful payment tool without betting the account on the model's judgment. Concretely: give each agent its own funded wallet rather than a shared corporate credential, so a compromise is contained to one balance. Check every intended payment against policy before a credential exists, covering the per-transaction ceiling, the running total over a window, the merchant allowlist and the velocity rule that catches a retry loop. Pause anything above your threshold for human approval. Issue a merchant-locked virtual card scoped to the single purchase instead of a reusable key. And write every decision to an immutable audit trail naming the agent, its human owner, the intent and the policy that allowed it, because when a refund goes out at 3am the only useful question is which agent, on whose authority.

How Agentspay fits alongside a payment MCP server

Agentspay is not a replacement for any server on this page. It is the layer none of them occupies. You keep Stripe, PayPal, Square, Checkout.com or Adyen as the rail, connect the MCP server your team wants, and put the policy decision in front of the money rather than behind it. Because the control plane is rail-neutral, switching providers or adding a second one is a configuration change instead of a rebuild, which matters more than it sounds when the standards question is this unresolved. Our page on MCP payments covers the protocol mechanics in more depth, and AI agent payment platforms compares the vendors in this category head to head. We ran the same probe across the accounting systems, and the QuickBooks, NetSuite and Xero MCP servers reach the same conclusion from the other end of the ledger.

Whatever standard moves the money, Agentspay is the rail-neutral control plane that keeps it governed. See how it works and the control surfaces that enforce policy, approvals, and audit on every transaction.

Original research

Which payment MCP servers are actually live

Probed September 2026. A randomly generated control path returned 404 or 400 on every host that answered, so none of these is a catch-all false positive.

Provider Hosted endpoint Unauthenticated GET OAuth discovery doc Authorization server
Stripe mcp.stripe.com 401 JSON, points at docs 200 access.stripe.com/mcp
PayPal mcp.paypal.com 302 to developer site 200 mcp.paypal.com
Checkout.com mcp.checkout.com 405, POST only 200 access.mcp.checkout.com/payment-operations
Square mcp.squareup.com 302 to squareup.com 200 mcp.squareup.com
Shopify none 404 on every path 404 None. Per store at /api/mcp
Adyen none DNS does not resolve none Local stdio server, npx @adyen/mcp
Klarna none DNS does not resolve none No hosted server found
Plaid none DNS does not resolve none No hosted server found

The write surface

What an agent holding the connection can do to your money

Taken from each provider's published tool list or scope vocabulary. The last column is the one that matters.

Server Create a charge or order Issue a refund Access control Enforces a spend limit?
Stripe Yes, via generic stripe_api_write Yes, Create refund OAuth session or restricted API key No
PayPal Yes, create_order and pay_order Yes, create_refund OAuth or client credentials No
Square Yes, PAYMENTS_WRITE and ORDERS_WRITE Yes, via write scopes 49 OAuth scopes, 22 of them writes No
Checkout.com Not publicly enumerated Not publicly enumerated OAuth, scope named mcp_full_access No
Shopify storefront Cart writes only, update_cart No None observed on the stores we probed No
Adyen Yes, sessions and payment links Yes, Checkout modifications API key, webservice user roles No

Shopify per-store probe

Four live US storefronts, four different postures

Unauthenticated tools/list sent to https://<store>/api/mcp in September 2026. The control path returned 404 on all four.

Storefront Response Tools exposed Authentication required
brooklinen.com 200 5: search_catalog, get_product_details, get_cart, update_cart, search_shop_policies_and_faqs None
allbirds.com 200 1: search_shop_policies_and_faqs None
gymshark.com 404 None Not applicable
redbull.com 404 None Not applicable

The gap

What the MCP server handles and what you still have to

Everything on the right is a buy-side decision that has to live above the payments API.

Control Handled by the MCP server Who has to enforce it
The caller is authenticated Yes, OAuth or an API key Provider
The credential can be revoked Yes, session revocation in the dashboard Provider
Permissions are scoped to a capability Partly. Square and Adyen yes, Stripe via restricted keys Provider and you
This agent has a per-transaction ceiling No You
This agent has a cumulative budget No You
This counterparty is on an allowlist No You
A human approves above a threshold No You
Velocity limits catch a retry loop No You
The spend is attributable to one agent and one owner No, the credential is shared You

Frequently asked

Questions people ask about payment MCP servers

What is the Stripe MCP server?

The Stripe MCP server is a hosted Model Context Protocol endpoint at mcp.stripe.com that lets an AI agent call the Stripe API through tools. It exposes stripe_api_read and stripe_api_write, plus documentation search, analytics and reporting tools. Clients authenticate with OAuth, or with a restricted API key as a bearer token when the client does not support OAuth.

Is the Stripe MCP server free?

Yes. Stripe does not charge for access to the MCP server itself. What you pay is the ordinary Stripe cost of whatever the agent does through it, so a charge created by an agent carries the same processing fee as one created by your own code. The real cost to budget for is not the server, it is an unbounded write tool against a live account.

Does the Stripe MCP server have write access?

Yes. Stripe documents a stripe_api_write tool that covers any Stripe API POST, PATCH, PUT and DELETE method, and the supported method list includes creating refunds, Checkout Sessions, payment links, subscriptions and invoices. You narrow it at the credential using a restricted API key, not inside the server, and Stripe advises enabling human confirmation of tool calls.

What is the Shopify MCP server URL?

There is no central Shopify host. When we probed mcp.shopify.com in September 2026 it returned 404 for every path including the OAuth discovery document. The storefront MCP is published per merchant at https://your-store-domain/api/mcp. On the live US storefronts we tested it answered an unauthenticated tools/list request.

Is the Shopify storefront MCP endpoint public?

On the stores we probed, yes. Brooklinen returned five tools including update_cart with no authentication, and Allbirds returned one. Gymshark and Red Bull returned 404. If you run a Shopify store, send a tools/list request to your own /api/mcp path and confirm the exposed surface is what you intended.

What can the PayPal MCP server do?

PayPal names each capability rather than exposing a generic write tool. The catalog includes create_order, pay_order which captures payment, create_refund, create_invoice, send_invoice, create_subscription, cancel_subscription and accept_dispute_claim, plus create_cart and checkout_cart on the remote commerce side. An agent holding that connection can capture and refund payments and concede a dispute.

Does Adyen have an MCP server?

Yes, but not a hosted one. mcp.adyen.com does not resolve. Adyen ships a local TypeScript stdio server you run yourself with npx -y @adyen/mcp, covering Checkout sessions, payment links and modifications plus Management API surface. It authenticates with an API key from a webservice user, and Adyen recommends creating a dedicated user with roles limited to the tools you actually use.

Which payment MCP server is best for AI agent spend?

For an agent operating on your own account, Stripe is the most capable and its restricted API key path gives the narrowest credential of the hosted set. For the tightest configuration overall, Adyen's local server with a role-limited webservice user wins, because nothing is exposed on the public internet. Neither one enforces a spending limit, so the choice does not remove the need for a policy layer.

Can an MCP server enforce a spending limit on an AI agent?

No. We checked every server on this page and none of them defines a budget, a per-transaction ceiling, a cumulative cap, a merchant allowlist, a velocity rule or an approval threshold. Access control is a capability list at the credential: it can say yes to creating a payment, but not yes up to 500 dollars a day. That limit has to be enforced above the payments API.

Are payment MCP servers safe to connect to a production account?

They are safe in proportion to how narrowly you scope the credential and whether anything checks the amount. Stripe warns in its own documentation to enable human confirmation of tool calls and to be careful when running its MCP alongside other servers because of prompt injection. Treat the connection as a live credential held by a model that reads untrusted text, and put an approval threshold in front of it.

What is the difference between an MCP server and an agent payment platform?

An MCP server exposes a provider's existing API as tools an agent can call, so it answers what an agent is able to do. An agent payment platform decides whether a specific payment should happen: which agent, how much, to whom, under whose authority, and with what left in the budget. They sit at different layers, and most teams need both.

Keep reading

More explainers

ServiceNow AI Control Tower

ServiceNow AI Control Tower

ServiceNow AI Control Tower is the most complete agent inventory and risk console a large US enterprise can buy, and it now reaches across AWS, Google Cloud and Azure. We read the schema ServiceNow ships to developers to answer the one question the rollout meeting always ends on: can it stop an agent from spending money? It cannot, and the reason is written into the data model.

Read

Gemini Enterprise

Gemini Enterprise

Google did something in August 2026 that the other agent platforms have not done: it shipped a hard monthly spend cap that genuinely stops usage instead of emailing you about it. That deserves credit, and it also moves the interesting question one step along. A cap that stops something is only as useful as the thing it is scoped to, so we went and measured what Google can actually point that cap at, in the API model Google publishes for anyone to read.

Read

Salesforce Agentforce

Salesforce Agentforce

Agentforce is the largest agent platform any US enterprise is likely to already own, and it moved to consumption billing, which means the meter now runs on what your agents do rather than on how many seats you bought. That raises a finance question the rollout deck rarely answers: when an Agentforce agent is loose in production, what actually stops it spending. We went and measured the answer in Salesforce own published object model rather than guessing at it.

Read

AWS AgentCore

AWS AgentCore

Amazon shipped the missing piece in August 2026. Bedrock AgentCore Payments went generally available, and it is a real payments product: an agent can now hold a wallet, meet an HTTP 402, pay, and carry on reasoning without a human in the loop. So the question a platform lead has to answer stopped being whether AWS gives agents money and became a narrower, more awkward one: how much of a spend policy did AWS actually ship? We went and measured it, property by property, in the API model AWS publishes.

Read

Microsoft Agent 365

Microsoft Agent 365

Microsoft shipped a control plane for AI agents, and it is a good one. It gives every agent an identity, a registry entry, an owner, a sponsor and a Conditional Access policy. Then somebody in finance asks the obvious follow-up question: fine, but what stops the agent from spending money? This page answers what Agent 365 costs, what it governs, and what we measured when we went looking for a dollar amount anywhere in Microsoft's agent governance surface.

Read

QuickBooks MCP Server

QuickBooks MCP server

Connecting an accounting system to an AI assistant is now a ten minute job. Deciding what that assistant is allowed to do once it is connected is the part nobody writes about, and it is the part your controller will ask about first. This page compares what the official QuickBooks, NetSuite and Xero MCP servers actually hand a model, measured rather than summarized from marketing pages.

Read

PayPal Agentic Commerce

PayPal Agentic Commerce

PayPal made a bet that most merchants would rather not implement a commerce protocol at all. Where Stripe and OpenAI shipped a spec for you to build against, PayPal shipped two products that sit on top of the checkout you already have, and then bought a company to make the catalog half work. That choice is the whole story: it explains why Agent Ready needs almost no engineering from you, why there is nothing for an agent to discover about your store on the open web, and why the thing PayPal will not do for you is the thing that gets expensive later.

Read

Shopify Agentic Commerce

Shopify Agentic Commerce

Shopify switched agentic commerce on by default, so your store is probably already selling to AI assistants whether or not anyone on your team configured it. Instead of restating the announcement, we checked something you can check too: on September 2, 2026 we requested the machine-readable capability file that Shopify publishes for real storefronts, on fourteen well-known US brand domains, and read what it exposes to an agent. Eleven answered correctly. The three that did not share one trait, and it is quietly costing them agent traffic.

Read

Web Bot Auth

Web Bot Auth

Web Bot Auth is the reason your agent either gets served or gets throttled with the scrapers. Almost everything written about it repeats the same architecture diagram, so we did something different: on September 1, 2026 we fetched the published key directories of more than twenty major AI operators and infrastructure vendors to see who is genuinely signing their traffic. Four were. The results are in the first table.

Read

Tempo Blockchain

the Tempo blockchain

Tempo is the payments chain Stripe and Paradigm built, and it shipped with a protocol that lets software pay for things on its own. It settles machine payments in under a second. It has nothing at all to say about whether your agent should have paid.

Read

AI Agent Governance

AI agent governance

Every agentic AI governance framework published so far governs the same four things: identity, tools, data and prompts. Not one of them carries a budget. Here is what the real frameworks say, which guardrails actually bind at runtime, and what to do about the last mile none of them reach.

Read

A2A Protocol

A2A Protocol

Most explanations of the A2A protocol stop at the sentence that agents can now talk to each other. That was true in April 2025 and it is no longer the interesting part. A2A shipped version 1.0 in April 2026 under Linux Foundation governance, it runs in production inside Azure AI Foundry and Amazon Bedrock AgentCore, and the questions engineers actually get stuck on are narrower: what an Agent Card commits you to, when to reach for MCP instead, and what happens the first time one of your agents has to pay another one for the work. That last question has a specific answer, and it is not in the core spec.

Read

Mastercard Agent Pay

Mastercard Agent Pay

Nearly every article about Mastercard Agent Pay is a retelling of one press release from April 2025, the one where Mastercard said AI agents would be able to shop with Agentic Tokens and named Microsoft as the first platform. That was sixteen months ago, and four more things have shipped since. Reading only the launch coverage leaves you with roughly a quarter of the picture, and the missing three quarters are the parts that decide whether you can actually put this into production.

Read

Visa Intelligent Commerce

Visa Intelligent Commerce

Almost everything written about Visa Intelligent Commerce is a retelling of the April 2025 announcement, when Visa said AI agents would be able to pay with a Visa credential. Three more things have shipped since, including an open agent-identity protocol built with Cloudflare that most coverage does not mention at all. This page is the current version, checked against Visa’s own developer documentation and newsroom in August 2026.

Read

Stripe agentic commerce

Stripe agentic commerce

Most writing about Stripe and agentic commerce is still a retelling of the September 2025 launch week, when Stripe and OpenAI shipped Instant Checkout and published the Agentic Commerce Protocol together. Stripe has built a good deal more since then, and some of it points in a direction the launch coverage never anticipated. This page is the current version, checked against Stripe’s own documentation in August 2026.

Read

ChatGPT Instant Checkout

ChatGPT Instant Checkout

Almost every guide to ChatGPT Instant Checkout still reads like it was written the week it launched, walking merchants through how to apply and what the fee will be. OpenAI changed course in March 2026. Here is the accurate version: what Instant Checkout was, what the numbers actually looked like, what replaced it, and which parts of the stack are still very much alive.

Read

Google AP2

Google AP2

Most guides to Google AP2 still describe an Intent Mandate and a Cart Mandate, because most of them are rewrites of the September 2025 launch post. The specification moved. Here is what the Agent Payments Protocol actually defines today, and the one question it deliberately does not answer.

Read

Human in the loop AI

Human in the Loop AI

Every guide to human in the loop AI describes the same shape: the agent pauses, a person decides, the agent continues. The shape is right. What almost none of them ask is a harder question, which is where the pause is enforced, because a pause written into the agent's own code is a pause the agent is trusted to honor.

Read

AI agent cost

AI Agent Cost

Every cost guide for AI agents answers the same two questions: what does it cost to build, and what does it cost to run. Both are answerable, and both are on somebody's invoice. The third question is the one that ends up in a variance report, because the agent also spends your money, and nobody sends you a bill for that.

Read

Agentic checkout

Agentic Checkout

Nearly every guide to agentic checkout is written for the merchant who wants to receive these orders. Far fewer are written for the company whose agents are placing them, which is odd, because agentic checkout quietly removes the one screen where spending used to get a second look.

Read

API monetization

API Monetization

Most guides to API monetization argue about which pricing model wins. The harder question in 2026 is who is calling. An API priced for a signed-up developer with a key behaves very differently when the caller is an agent that showed up once, wants one record, and has no account.

Read

x402 protocol

x402 Protocol

x402 took the one HTTP status code the web never used and turned it into a payment rail machines can drive. The protocol is elegant and genuinely small. The part it deliberately leaves to you is the budget.

Read

AI procurement agents

AI Procurement Agents

Every major procurement suite shipped agents during 2026. Almost none of them answer the question your controller will ask first, which is what happens when the agent is wrong about a purchase and the money has already moved.

Read

Agentic payments

Agentic Payments

Agentic payments move money with no human at the checkout. The rails to do it all shipped during 2026. The part most teams have not solved is deciding, before the money moves, whether the agent was allowed to spend it.

Read

AI agent monetization

AI Agent Monetization

Every AI agent company is rewriting its price list. The models that survive are metered. The ones that quietly fail are the ones where nobody measured what a single task costs to serve.

Read

Agent payment platforms

AI Agent Payment Platforms

Five different kinds of product now call themselves an AI agent payment platform, and they solve five different problems. Picking the wrong category is the expensive mistake, not picking the wrong vendor inside a category.

Read

Universal Commerce Protocol

the Universal Commerce Protocol (UCP)

Google and Shopify shipped UCP as an open standard so an AI agent can check out at any merchant that supports it. Here is what the specification actually defines, where it is live for US buyers, and the one thing it deliberately leaves to you.

Read

MCP Payments

MCP Payments

MCP payments are how an AI agent discovers a payment tool and calls it to move money. The catch: the Model Context Protocol carries the tool call, not the spending decision, so nothing in the stack asks whether the purchase should have happened.

Read

Visa Intelligent Commerce vs Mastercard Agent Pay

Visa Intelligent Commerce vs Mastercard Agent Pay

Visa Intelligent Commerce and Mastercard Agent Pay are the two big card networks racing to let AI agents pay. They take different routes to the same idea, and neither one decides whether a given purchase should have happened.

Read

Agentic Commerce Protocol

the Agentic Commerce Protocol

ACP is the open standard behind agentic checkout in ChatGPT. It tells a merchant how to sell to an AI agent. It says nothing about whether your agent should have made the purchase.

Read

AP2 vs ACP vs x402

AP2 vs ACP vs x402

AP2, ACP, and x402 are the three standards shaping how AI agents pay. They solve different layers of the problem, and most real systems will touch more than one.

Read

Machine payments protocol

Machine payments protocol

As software starts paying software, machine payments protocols define how value moves without a human at the keyboard. The harder question is how to keep that spending governed.

Read

Know Your Agent (KYA)

Know Your Agent

KYA, or Know Your Agent, extends the idea of customer due diligence to autonomous software. When an agent spends, you need to know which agent, on whose authority, and under what limits.

Read

Keep agent spending governed

Add policy, hard limits, human approval, and an immutable audit trail across any protocol or rail. Start in the sandbox today.

Never moves money without policy