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a2a cloud

The platform for autonomous software

Build agents that run for real.

For developers and platform teams shipping agents as real software: build, deploy, govern, and scale with runtime, protocols, identity, data, and proof on one platform.

Declare optional app and Postgres resources. Public listing, anonymous access, and custom domains depend on configuration.

01/ Build

From idea or code to a real agent.

Start with a brief, your own code, or the framework you already use. Define the agent; a2a cloud provides the production runtime around it.

Idea or brief
Python / TypeScript
Agent frameworks
Your agentproduction runtime
02/ Deploy

Declare what it needs. Deploy every required surface together.

Hosted protocol surfaces come with the runtime. Product UI, data, and public exposure are added only when you declare them.

Agent runtime

Hosted protocol surfaces

HTTPS API
Generated OpenAPI
MCP endpoint
A2A discovery + handoff

Declared resources

+Optional frontend
+Isolated managed Postgres
+Public listing or custom domain (conditional)
03/ Govern

Explicit authority. No ambient trust.

A scoped grant defines what is allowed. The action runs inside that boundary, and supported execution paths return signed evidence of what happened.

Scoped grantAllowed action + limits
Grant boundary
Agent actionRuns inside scope
Signed receiptVerifiable evidence*

* Produced on supported execution paths; coverage depends on the route.

04/ Connect

One agent. Three clear ways to connect.

Applications, tool clients, and peer agents use different surfaces—each designed for its job.

01

API + generated OpenAPI

Apps call typed HTTPS operations and generate clients from the contract.

Application → agent operation
02

MCP

Agent tools are exposed to clients and other runtimes through an MCP endpoint.

Client or runtime → agent tools
03

A2A

Agents discover one another and hand work to other agents.

Agent ↔ agent

Multi-agent quality loop

Build. Critique. Improve.

A lead agent breaks the goal into components. Builder agents create the actual artifact. Independent, fresh critics compare it with the quality bar, then the team fixes the biggest gaps and repeats.

See how agent teams work
01Goal + quality bar
02Lead agent
03Break into components
04Builder agents
05Actual artifact
06Fresh critic agents · independent review
Match or beat the reference?YES — ship
NOIdentify biggest deficiencies → implement focused fixes → repeat
05/ Operate

Run the business around the agent.

Operate a deployed agent as software: watch it work, communicate, monetize usage, and scale.

Observe

See runs and outcomes.

Email

Give a declared agent an inbox.

Bill

Meter and charge for usage.

Scale

Grow without rebuilding the stack.

Everything an agent needs to become a product.

RuntimeDataIdentityProtocolsProofEconomics

From agent code to production software

Ready to ship your agent?