AgentsPay

Explainer

A2A Protocol Payments Between Agents and How Google A2A Compares to MCP

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.

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

The A2A (Agent2Agent) protocol is an open standard for AI agents built by different vendors to discover each other, delegate tasks and exchange results without exposing their internal tools or memory. Google released it in April 2025, donated it to the Linux Foundation in June 2025, and version 1.0 shipped April 9, 2026 with 150+ participating organizations. A2A carries tasks, not money: a Task and an Artifact have no price field and the spec has no budget, spend cap or approval primitive. Payment reaches A2A only through extensions, notably the a2a-x402 extension for stablecoin settlement and AP2 for card mandates, and neither one tracks cumulative spend across tasks.

What is the A2A protocol?

The Agent2Agent Protocol is an open standard for communication between agentic applications that were built by different teams, on different frameworks, and that do not trust each other with their internals. Google published it in April 2025 and announced the donation to the Linux Foundation on June 23, 2025 at Open Source Summit North America, handing over the specification, the SDKs and the developer tooling. AWS, Cisco, Google, Microsoft, Salesforce, SAP and ServiceNow were named alongside that move. The design constraint worth remembering is the word opaque: an A2A server is a black box to its client, so agents collaborate without sharing memory, tools or proprietary logic. That is what makes it usable between companies rather than only inside one codebase.

How does the A2A protocol work?

There are three actors. A user sets a goal, an A2A client (the client agent) acts on their behalf, and an A2A server (the remote agent) exposes an HTTP endpoint that accepts work. The client finds the server by reading its Agent Card, sends a Message, and gets back either an immediate Message or a stateful Task with its own id and lifecycle. Long jobs are followed in one of three ways: polling, a Server-Sent Events stream for incremental updates, or push notifications to a webhook the client supplies for cases where it will not stay connected. Version 1.0 defines three protocol bindings: JSON-RPC 2.0 over HTTPS as the primary, gRPC with Protocol Buffers, and plain HTTP/JSON REST.

What is an agent card in A2A protocol?

The Agent Card is a JSON metadata document that works as an agent’s business card: its identity, its service endpoint URL, its A2A capabilities, its skills, and the authentication it expects. Clients parse it to decide whether this agent can do the job at all and how to call it securely. Version 1.0 added Signed Agent Cards, which is the change that matters commercially: the card can now be cryptographically signed, so a client can verify an agent’s claimed identity across an organizational boundary instead of taking a JSON file at its word. If you plan to let an outside agent do paid work for you, the signed card is the hook your audit trail should be recording.

What does the A2A protocol enable?

Five elements do the work. An Agent Card handles discovery. A Task is a stateful unit of work with an id and a lifecycle. A Message is one turn of conversation with a role of user or agent. A Part is the content container inside messages and artifacts, holding exactly one of text, raw bytes, a URL or structured JSON data, plus an optional mediaType and filename. An Artifact is the deliverable an agent actually produces, streamable as it is generated. A contextId groups related tasks so a series of interactions hangs together. Read that list again and notice what is not in it: there is no amount, no currency, no invoice and no receipt.

What is A2A protocol vs MCP?

They answer different questions and the split is clean once you see it. MCP standardizes how one agent reaches a tool or resource: a database query, an API call, a weather lookup, mostly stateless primitives with structured inputs and outputs. A2A standardizes how one agent reaches another agent: an autonomous peer that reasons, plans, holds state across a long interaction and may take many turns to finish. The protocol’s own documentation frames them as complementary rather than competing, and the reference picture is an application using A2A to talk to remote agents while each of those agents privately uses MCP for its own tools. We cover the money side of the tool layer separately in MCP payments.

Can A2A replace MCP?

No, and building as if it could produces a mess. If you wrap a calculator or a SQL query in an A2A server you have paid the cost of task lifecycles, agent cards and long-running state for something that returns in 40 milliseconds and holds no state. If you expose a genuine multi-turn agent as an MCP tool you lose the task id, the streaming updates and the ability to come back to a job an hour later. The practical test is whether the thing on the other end reasons and remembers. If it does, A2A. If it just computes, MCP. Most real systems end up running both at the same time.

Is the A2A protocol open source?

Yes. The specification, the SDKs and the developer tooling sit with the Linux Foundation, and the reference implementations live under the a2aproject GitHub organization with production SDKs for Python, JavaScript, Java, Go and .NET, plus community work in Rust. As of the version 1.0 announcement the core repository carried more than 22,000 GitHub stars. Neutral governance is the reason competitors could adopt it: Microsoft integrated A2A into Azure AI Foundry and Copilot Studio, and AWS added support through Amazon Bedrock AgentCore Runtime, neither of which happens for a protocol still owned by Google Cloud.

Is the A2A protocol production ready?

Version 1.0 landed on April 9, 2026, exactly a year after the original release, and the Linux Foundation put concrete numbers on it: more than 150 organizations participating, up from roughly 50 at launch, with named production use across supply chain, financial services, insurance and IT operations. The v1.0 release notes cover four areas: multi-protocol transport support, multi-tenancy, Signed Agent Cards, and a more web-aligned architecture. Version 1.0 also means the versioning promise now exists at all, which is the part that lets a risk team sign off. What is still immature is everything financial, which is the next section.

Does the A2A protocol handle payments?

Not in the core specification, and this is the single most common misconception about A2A. A Task has a lifecycle but no price. An Artifact is a deliverable with no invoice attached. Authentication requirements are declared in the Agent Card and credentials travel in ordinary HTTP headers, deliberately kept separate from A2A messages, so the protocol never sees a payment instrument. If you are running agents that buy things, A2A gives you interoperability and gives your finance team nothing. That gap is exactly what agentic payments infrastructure exists to fill.

How do agents pay each other over A2A?

Through the extension mechanism, which is worth understanding because it is how every payment story on A2A actually works. An agent declares extensions in its Agent Card as AgentExtension objects inside AgentCapabilities, each with a uri, a description, a required flag and optional params. A client asks for one by sending an A2A-Extensions HTTP header listing the extension URIs it wants active, and the agent echoes back the ones it turned on. Extension payloads then ride in the request metadata field under namespaced keys. Extensions are promoted through a tiered governance process so the core spec stays small. Payment is one of these extensions, never a core feature.

What is the a2a-x402 extension?

The a2a-x402 extension is the most concrete answer to agent-to-agent payment on A2A today. Maintained by Google Agentic Commerce under Apache 2.0, still at specification v0.1, it borrows the HTTP 402 Payment Required idea and turns it into three A2A message states: payment-required, where the serving agent says the work costs money; payment-submitted, where the client agent signs and returns payment details; and payment-completed, where the server verifies, settles on chain and hands over the artifact. It is a clean fit for machine-scale amounts, which is the same reason we look at x402 separately. Treat v0.1 as what it says it is: early.

Where does AP2 fit with the A2A protocol?

AP2, the Agent Payments Protocol, is the card and mandate answer where a2a-x402 is the stablecoin answer. Google announced it on September 16, 2025 with more than 60 partners under Apache 2.0, and it is built as an extension on top of A2A rather than a replacement for it, which is why the two names keep appearing together. Its job is proving that a human authorized a specific purchase, using signed mandates, and on April 28, 2026 it was donated to the FIDO Alliance alongside Mastercard’s Verifiable Intent. A useful mental model for a whole autonomous purchase: A2A finds and commissions the work, AP2 authorizes the money, and x402 or a card rail settles it.

Does LangGraph or Claude support the A2A protocol?

Framework support is broad because A2A was designed to be framework neutral. The protocol documentation names LangGraph, CrewAI and Semantic Kernel as examples of platforms that interoperate, and Google’s own Agent Development Kit is one option rather than a requirement. On the model side the honest answer is that A2A support is a property of the agent runtime you build, not of a model vendor: any model can sit behind an A2A server, and Anthropic’s contribution to this stack is MCP on the tool side rather than a competing agent-to-agent standard. If a vendor tells you their model speaks A2A, what they mean is their agent framework does.

Is the A2A protocol stateless?

No. That is close to the whole point of it. A Task is explicitly a stateful unit of work carrying an id and a defined lifecycle, and a contextId groups multiple related tasks into one longer thread. Statelessness is an MCP tool property, not an A2A property. The operational consequence is that a task can stay open across minutes or hours, which is why the spec bothers with push notifications to a webhook, and which is also why unsupervised spend is a real risk: a task your agent opened this morning can still be spending money for you this afternoon.

What the A2A protocol does not give a finance team

Everything A2A standardizes is horizontal: discovery, task lifecycle, message format, transport. Nothing in it is cumulative. There is no running total of what an agent has spent this month, no per-agent budget, no merchant allowlist, no human approval step above a threshold and no ledger that survives the task ending. Extensions negotiate per request, so even a2a-x402 sees one payment at a time and has no memory of the last hundred. That is the layer we build: per-agent spend controls, scoped virtual cards, approval thresholds and an audit trail that reconciles, sitting underneath whichever protocol your agents happen to speak. If your agents are already delegating paid work to each other, agent-to-agent payments is the specific shape of that problem.

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.

Pick the layer

A2A, MCP, AP2 and x402 do four different jobs

Checked against each protocol’s own documentation in August 2026. Coverage routinely treats these as rivals. They stack.

Protocol What it standardizes Carries money? Reach for it when
A2A (Agent2Agent) Agent discovers agent, delegates a task, gets an artifact back No An autonomous peer does the work
MCP Agent calls a tool, API or data source No A stateless primitive does the work
AP2 Signed proof a human authorized a specific purchase Card mandates A person is accountable for the spend
x402 / a2a-x402 Pay-per-request settlement, HTTP 402 style Stablecoins Amounts are small and machine scale

The spec, plainly

A2A protocol v1.0 at a glance

Version 1.0 shipped April 9, 2026 under Linux Foundation governance, one year after Google’s original release.

Detail
First released April 2025 by Google
Donated to Linux Foundation Announced June 23, 2025, Open Source Summit North America
Version 1.0 April 9, 2026
Adoption More than 150 organizations, 22,000+ GitHub stars
Transports JSON-RPC 2.0 over HTTPS (primary), gRPC, HTTP/JSON REST
Official SDKs Python, JavaScript, Java, Go, .NET
In cloud platforms Azure AI Foundry and Copilot Studio, Amazon Bedrock AgentCore Runtime, Google Cloud
Core objects Agent Card, Task, Message, Part, Artifact
Payment primitive None in core. Extensions only.

The honest gap

What A2A controls, and what a finance team still has to own

This is not a criticism of the protocol. A2A is an interoperability standard and was never scoped to be a spend system.

Question a controller asks Answered by A2A? Where it actually gets answered
Which agent is this, provably? Yes, Signed Agent Cards in v1.0 A2A core
What work did it commission? Yes, Task and Artifact history A2A core
What did this task cost? No price field exists A payment extension
Has this agent blown its monthly budget? No Spend controls above the protocol
Does a human sign off past $500? No Approval workflow
Can I revoke one agent without breaking the rest? No, credentials are yours to manage Scoped virtual cards
Will this reconcile at month end? No An audit trail built for finance

Frequently asked

Questions people ask about A2A Protocol

What is the A2A protocol?

The A2A (Agent2Agent) protocol is an open standard that lets AI agents built by different vendors discover each other, delegate tasks and exchange results without revealing their internal tools, memory or logic. Google released it in April 2025 and donated it to the Linux Foundation in June 2025. Version 1.0 shipped April 9, 2026 with more than 150 participating organizations.

What is A2A protocol vs MCP?

MCP connects an agent to tools and data, such as an API or a database, which are usually stateless. A2A connects an agent to another agent, an autonomous peer that reasons, holds state and may take many turns. They are complementary, not competing: a typical system uses A2A between agents while each agent uses MCP internally for its own tools.

What is an agent card in A2A protocol?

An Agent Card is a JSON metadata document describing an agent’s identity, endpoint URL, capabilities, skills and authentication requirements, so a client can discover it and call it correctly. Version 1.0 added Signed Agent Cards, which are cryptographically signed so identity can be verified across organizational boundaries rather than trusted on sight.

Is the A2A protocol open source?

Yes. The specification, SDKs and tooling are governed by the Linux Foundation after Google donated them in June 2025. Reference implementations live in the a2aproject GitHub organization with production SDKs for Python, JavaScript, Java, Go and .NET. The core repository has more than 22,000 stars.

Is the A2A protocol production ready?

Version 1.0 was released April 9, 2026 under Linux Foundation governance, adding multi-protocol transports, multi-tenancy and Signed Agent Cards. More than 150 organizations participate, and it runs inside Azure AI Foundry, Copilot Studio and Amazon Bedrock AgentCore Runtime, with production use reported in supply chain, financial services, insurance and IT operations.

Does the A2A protocol support payments?

Not in the core specification. A Task carries no price and an Artifact carries no invoice, and credentials travel in HTTP headers kept deliberately separate from A2A messages. Payment arrives only through extensions: a2a-x402 for stablecoin settlement and AP2 for card mandates. Neither extension tracks cumulative spend across tasks.

What is the a2a-x402 extension?

The a2a-x402 extension adds crypto payment to A2A using three message states: payment-required, payment-submitted and payment-completed. It is maintained by Google Agentic Commerce under Apache 2.0 and is still at specification version 0.1. It adapts the HTTP 402 Payment Required pattern so a serving agent can charge for work before releasing the artifact.

How do A2A extensions work?

An agent declares extensions in its Agent Card as AgentExtension objects with a uri, description, required flag and optional params. A client requests them by sending an A2A-Extensions HTTP header listing the URIs it wants activated, and the agent echoes back which ones it enabled. Extension data then travels in the request metadata field under namespaced keys.

Is the A2A protocol stateless?

No. A Task is a stateful unit of work with a unique id and a defined lifecycle, and a contextId groups related tasks across a longer interaction. Statelessness belongs to MCP tools, not to A2A. Because tasks can stay open for hours, the spec supports polling, Server-Sent Events streaming and webhook push notifications.

Does LangGraph support the A2A protocol?

Yes. A2A is framework neutral and its documentation names LangGraph, CrewAI and Semantic Kernel as interoperating platforms, with Google’s Agent Development Kit as one option rather than a requirement. Model vendors do not implement A2A themselves; support is a property of the agent runtime you build around the model.

Can A2A track how much my agents are spending?

No. A2A standardizes discovery, task lifecycle, messages and transport, and none of that is cumulative. There is no per-agent budget, no merchant allowlist, no approval threshold and no ledger that outlives the task. Spend limits, approvals and reconciliation have to sit in a layer above whichever protocol your agents speak.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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