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A2A (Agent2Agent): what it is and when a company needs it

Short answer

A2A, or Agent2Agent, is an open protocol through which AI agents from different companies find each other, describe their skills and hand each other tasks. Google announced it in April 2025, the Linux Foundation took it over in June 2025, and the stable version 1.0 came out on 12 March 2026. MCP connects an agent to tools. A2A connects an agent to another agent.

How we workDetails ↓

  1. 01Call30 minutes with an engineer, free
  2. 02PrototypeA working system on your process and data, free
  3. 03ImplementationTarget and fixed price in the contract; 50% at signing
  4. 04Acceptance50% once the agreed target is met
net per agent for one process, paid once
from €3,000
from signing the contract to acceptance
6–16 weeks
free prototype on your cases
€0

We belong to the OpenAI and Anthropic partner programmes and learn through their official courses. What this means ↓

Author: Syntalith · 3 min read

Example: the morning request inbox
Agent · ready

Statistics

AI agent protocols: statistics 2026

1.8 mo.

payback of a €3,000 wholesale agent that answers 600 enquiries a month from customers' agents through A2A, in place of a salesperson at 6 minutes an enquiry. Scenario.

Figures checked: 22 October 2026

How A2A works

Every agent that supports A2A publishes an Agent Card: a JSON file with its name, description, service address, required authentication and list of skills. A public agent usually makes it available at /.well-known/agent-card.json on its own domain (agent discovery).

How a task passes between agents
  1. 01Discoverythe customer's agent fetches the Agent Card and checks whether the other agent has the skill it needs
  2. 02Taska request for a quote for 40 units delivered to Poznań
  3. 03Workthe wholesaler's agent checks stock, the price list and the discount rules on its own side
  4. 04Resultthe answer comes back at once or after a few hours, with a history of states

The A2A 1.0 specification provides JSON-RPC, gRPC and HTTP+JSON bindings, and the client states the protocol version in the A2A-Version header. The version 1.0 announcement lists support for many tenants on one endpoint and signed Agent Cards, which let you check an agent's identity before the conversation. A technical committee with representatives of 8 large technology companies runs the protocol under the Linux Foundation.

A2A vs MCP

MCPA2A
What it connectsan agent with tools and dataan agent with another agent
The other sidecarries out a command, for example a catalogue queryplans its own work and may answer later
Examplethe agent reads the stock levelthe customer's purchasing agent asks the wholesaler's agent for a quote

The protocols complement each other. The wholesaler's agent talks to the customer's agent through A2A and reaches its own warehouse through MCP. The article on MCP covers the second protocol in more depth. Google also designs commerce protocols to work with A2A: the Universal Commerce Protocol lets a shop expose its functions through an API, MCP or A2A (Google Developers Blog).

Where A2A makes sense for a company

The most interesting cases are B2B relationships with a repeated exchange of information. A wholesaler answers the agents of regular customers about availability, contract prices and delivery dates, and passes unusual enquiries to a salesperson. A manufacturer answers distributors' technical questions from its current documentation. These are illustrations without implementation results.

Scenario: 600 enquiries a month from customers' agents
Today
600 enquiries × 6 min = 60 h (€2,094)
With the system, a person checks the output in 20% of the time
€419
Model, 3 calls per case, Claude Sonnet 5.5
€16
Cost of one case
€3.49 today, €0.72 with the system
Saving
€1,659 a month

Payback of €3,000

1.8 months

The volume, the time and the checking share are the scenario's assumptions. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat. Model: 3,000 input and 400 output tokens per call at Anthropic's rates, converted at the ECB rate of 1.1205 USD per euro on 22 October 2026.

This count assumes there are agents on the other side that already send enquiries. If there are none, an A2A endpoint brings no traffic, and the same agent can handle enquiries from email, as quote automation describes.

Security and the decision

Three questions before you decide
  • Which partner or platform has an agent your agent will talk to
  • Which task they will pass to each other, and how often
  • Who on your side approves commitments: prices outside the price list, delivery dates

An agent that accepts tasks from outside must know who the sender is and what it may do. The Agent Card sets the authentication, and you set the business rules yourself: amount limits, the list of customers, operations that need a person and a record of every decision. Treat content from another agent as input that may contain prompt injection. We build agents that work with partners' systems as part of AI agents, and in the free process review we work out whether you need A2A today.

Worked example · Scenario

How we count the payback: answering requests for quotes

We run the same count for your enquiries in the free process review.

€2,094

a month for preparing 120 quotes from customer enquiries by hand

Payback: 1.7 mo.

30 minutes per quote from an enquiry and checking in 15% of the old time are our assumptions. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat, for companies with 10 or more employees. Model cost: Claude Sonnet 5.5, about 4,000 + 1,500 tokens per draft quote, at the ECB rate of 1.1205 USD per euro on 22 October 2026. The extra margin is a scenario: we assume that 1 in 40 enquiries quoted the same day ends in an order that a slow reply loses today, with a margin of €344. In the review we count it on your sales process.

See the full calculation →

This is how we implement it in companies

All case studies →

Client results.

All projects →
foap.comcustomer service

foap.com customer service: 95% of replies are sent automatically.

Users from several countries write to foap.com, in several languages. The system reads the entire conversation and the terms of that person, and then sends a response in that person's language. Questions about money and exceptions go to the team with a ready draft, so they have to check and send them.

the system sends the answers itself, without human typing
95%
time from the arrival of the e-mail to the ready response (median)
30 s
e-mails that require a response receive a ready-made draft
100%
less work for every 1000 answers (estimate)
47 h

Data from foap.com production, October 20-21, 2026. Estimate: 3 minutes for handwritten response.

How foap.com customer service works →
Sample messages. Money matters always come to the person.

Other implementations

jaktako.design

studio projektowe

−87%

Time to look for new customers, every day

4 hours → 30 min

approx. 73 hours less per month (21 days of work)

according to the studio

How the agent loop works →
Signature Estates

real estate

approx. −90%

Operator time spent browsing portals, per day

2–3 hours → 20 min

approx. 45 hours less per month (21 days of work)

respect · contact the seller 5 minutes after the announcement

How the agent finds property listings →
Kuba Koziej, CEO and co-founder of MoreGrowth and board member at Natu.Care

Kuba Koziej

CEO and co-founder, MoreGrowth

„We started with my own AI agent. During the training that followed, I learned to build new applications myself. Today I am bringing this way of working with AI into my business. Working with Syntalith gave me exactly the skills and tools I needed.”

View the original training review on LinkedIn ↗

See the agent on your own cases before you commit.Book a free process review (30 min) →

How we build automation and agents

From a conversation to a working system in four steps.

  1. 01 · 30 min

    Free process review

    €0

    You're talking to an engineer. You receive the written plan within 2 business days.

  2. 02 · 5 days

    Free prototype

    €0

    The system works on 20-100 cases that your team has already handled. You see every result.

  3. 03 · 2–16 weeks

    Build

    50%

    Fixed price and goal written in the contract. First installment upon signing.

  4. 04 · after reaching the goal

    Reception

    50%

    You pay the second installment when the system reaches its target on your cases.

How a free prototype is created

Mon.

We set a goal

What result do you consider good?

Tue–Wed

The system is working

It goes through your affairs, one by one.

Thu

We compare

We check every difference with the team's work.

Fri

Result and price

List of errors and fixed implementation price.

You choose the matters. We anonymize them upon request, they stay in the EU and we delete them after the test.

On the market, such a test usually costs from PLN 3,000 to PLN 8,000.

Book a free process review (30 min)

We establish a prototype during a free analysis.

Data checked on October 21, 2026.

„Is my data safe?”

Yes. You choose where they go: from your company account to the model on your server.

  1. 00Employee's private account

    Customer and company data ends up in an account that the company cannot see or control. There is no data processing agreement, so it is a violation of the GDPR. When an employee leaves, the chat history goes with them.

  2. 01ChatGPT or Claude corporate account

    The provider does not use your data to train models. A copy of the queries remains in his logs for up to 30 days.

  3. 02API with zero retention (ZDR)

    The provider processes the request and does not save anything. It requires his consent, we prepare the application together.

  4. 03Processing in the EU

    Queries are counted and stored in Europe: OpenAI in the EU region, Claude via clouds with the EU region.

  5. 04Model at your place

    The open model runs on your server or in your cloud in the EU. The data does not go outside the company.

What we do with every implementation

  • Confidentiality agreement and data processing agreement before we receive any data.
  • You choose the cases for the prototype and we anonymize them upon request.
  • The data stays in the EU and we delete it after the test.
  • Corporate accounts with an administrator on your side.

When data cannot leave the company

The open model runs on your server or in your cloud in the EU. To choose from:

White-tailed eagle
Polish model, SpeakLeash and ACK Cyfronet AGH
PLLUM
Polish model, HIVE consortium commissioned by the Ministry of Digitization
Qwen
Alibaba
GLM
Zhipu AI
DeepSeek
DeepSeek

We select a model for the task and check it on your cases. We run it, tune it and maintain it.

Source: Bielik and PLLuM, ACK Cyfronet AGH ↗ · PLLuM, Ministry of Digitization ↗

Do you have a lot of your own data? We will fine-tune the small model.

  1. 1 Your examples
  2. 2 tuning
  3. 3 test on new cases
  4. 4 model at your place

When you have thousands of similar emails, documents or reports, we teach a small open model based on your examples. It works for you, responds quickly and costs less to maintain than a large model. We measure quality on issues that the model has not seen while learning.

Przemysław and Piotr did it in large programming and consulting companies. Artem did it before and does it today at Syntalith. It's about models on your own infrastructure, tuning and quality measurement.

You choose the protection level during the interview. We sign the data processing agreement before we see any data.Schedule a free analysis →

AI agents

See the agent on your own cases before you commit.

The agent takes the case through the next steps in your systems, and the actions take effect until the consent of the indicated person is obtained. A prototype for 20-100 cases that your team has already handled costs €0. We write down the purpose and test set in the contract.

See AI agents →
net per agent for one process, paid once
from €3,000
from signing the contract to acceptance
6–16 weeks
free prototype on your cases
€0

Questions

  • What is A2A?

    The open Agent2Agent protocol, through which AI agents of different companies and vendors find each other, describe their skills in an Agent Card and hand each other tasks. The Linux Foundation develops it, and version 1.0 came out on 12 March 2026.

  • How does A2A differ from MCP?

    MCP connects an agent to tools and data, for example to the catalogue in a warehouse system. A2A connects an agent to another agent, which plans its own work and may answer later. The two protocols complement each other.

  • What is an Agent Card?

    A JSON file with the agent's name, description, service address, authentication method and list of skills. A public agent usually publishes it at /.well-known/agent-card.json. Version 1.0 added cryptographically signed cards.

  • When does a company not need A2A?

    When you build one agent for your own team, or when there is no agent on the other side that wants to talk to yours. Then access to tools through MCP or an ordinary API is enough.

  • How much does an agent that supports A2A cost?

    An AI agent at Syntalith starts from €3,000 net, and A2A support is part of the project when it makes sense for a specific partner. First we establish who on the other side will send the enquiries.

Let's talk

Just write, call or choose a date.

We work fast because we hate corporate cotton wool. We don't have salespeople or managers to keep an eye on managers. You talk immediately to engineers who then build your system. We respect each other's time and yours too.

We will accept 3 more companies by the end of the year.

Mon–Fri 9:00–17:00 CET

What our OpenAI and Anthropic partnerships mean for you.

OpenAI makes ChatGPT and Anthropic makes Claude. We belong to the partnership programs of both companies, so we work with their tools every day and learn from the creators themselves.

OpenAI Select PartnerClaude Partner Network
01We will select a tool for the task
We implement both ChatGPT and Claude. We check both on your documents, and you choose the one that makes fewer corrections and saves more time.
02Knowledge straight from the creators
We learn from official OpenAI and Anthropic courses and materials. Your team learns about the features and settings that work today.
03Licenses without our margin
You buy accounts directly from OpenAI or Anthropic and receive an invoice from them. We do not add anything to the license.
04Certified engineers
On the team, we have an AWS certification in machine learning and an Anthropic certification in systems architecture on Claude.

Participation in programs does not mean that OpenAI or Anthropic endorses our services.