Agent-to-Agent (A2A) — Use case

Agents that call other agents need their own identity, capability card, and audit plane. Apinizer's A2A surface gives every agent a passport — and every conversation a paper trail.

AI teams · A2A · For AI teams

Agents that call agents need their own passport.

Apinizer's A2A gateway gives every agent an identity, a discoverable capability card, and a scoped permission set. Conversations flow through the gateway with the same auth and audit as any other request.

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The problem

The problem

Agent-to-agent traffic invented itself faster than any governance layer.

An ops agent calls a security agent. A research agent calls a planning agent. None of them have a real identity; none of the calls have an audit trail. The first time a regulator asks 'which agent did this', the org has nothing. Apinizer treats A2A as a first-class plane: identities, scopes, contracts, and a single audit ledger.

Capabilities

Agent identities

Every agent authenticates with a Credential — same identity plane as API consumers. OIDC / JWT policies apply; revoke the credential and the next call is denied.

Discoverable agent cards

Publish a proxy as an agent and it serves a standard agent card at the well-known path. Front someone else's agent and the gateway rewrites the card — your hostname, your security schemes, only the skills you chose to expose.

Real task lifecycle

Send a message, poll a task, cancel a task — with streaming relay, resubscribe after a dropped connection, and push notification. A cancel actually interrupts the work on the worker; it is not a status flag.

Conversation audit and replay

Every message between agents captured with both sides' identities and the result. Chained calls form one trace tree, and a captured request can be replayed to reconstruct exactly what happened.

Scope enforcement

An agent that's allowed to call 'search' can't call 'modify'. Permission applied at the runtime; nothing depends on prompt obedience.

Same plane as MCP and APIs

A2A lives on the same gateway as API and MCP traffic. One identity surface, one audit ledger, one set of policies.

Real-world examples

Banking

Scenario: Istanbul bank registers 27 agents across customer-care and risk teams

Outcome: Each agent has an owner, a capability profile, and a permission set. Cross-team calls go through the A2A surface, not direct webhooks.

Manufacturing

Scenario: Stuttgart OEM coordinates 9 plant agents through a central planner

Outcome: Planner agent discovers each plant's local agent via the registry; A2A messaging carries contracts. Plant operators see the entire chain in audit.

Telecom

Scenario: Madrid carrier limits a customer-service agent to read-only billing peers

Outcome: Scope enforced at the gateway. The agent can answer 'what's my balance' through a billing peer but cannot trigger a refund — different scope, different agent.

Insurance

Scenario: Paris insurer audits a triage chain end-to-end

Outcome: Triage agent → underwriting agent → fraud agent. The audit query joins all three legs into one timeline; the DPO traces a complaint in minutes.

Retail

Scenario: Amsterdam marketplace registers partner agents alongside internal ones

Outcome: Partner agents authenticate with JWTs. Their agent cards are published through the gateway; partners never see internal agents they don't have access to.

Media

Scenario: Milan publisher revokes a runaway agent in seconds

Outcome: Agent credential revoked; all conversations drop on next call. No need to chase webhooks across services.

Public sector

Scenario: Prague ministry routes citizen-services agents through one A2A bus

Outcome: Two ministries, one citizen-services chain, one audit trail. Each ministry's agent stays in scope; cross-ministry calls go through the A2A surface explicitly.

Energy

Scenario: Baku utility separates ops agents from analytics agents on the registry

Outcome: Ops agents can call analytics agents; analytics cannot call ops. The boundary is enforced by the gateway, not by hopeful design.

Recommended modules

AI Gateway — A2A proxy modes, identity issuance, task lifecycle, conversation audit.
Identity Manager — Agent identities issued and revoked alongside human identities.
Analytics Engine — End-to-end conversation timelines across agent chains.
Monitoring — Severity-aware alarms when an agent chain drifts or stalls.

Resources

A2A gateway overview — Identity, discovery, scopes, contracts — the building blocks of governed agent-to-agent traffic.
AI Gateway — Where A2A traffic lives — alongside LLM, MCP, and API calls.
Identity Manager — Issuing and revoking agent identities the same way you handle users.
Analytics Engine — Conversation telemetry — who called whom, with what contract, at what cost.
MCP server governance — When agents call tools, not just other agents.
Architecture overview — Where the A2A plane sits in the topology.

MCP server governance — For AI teams
Prompt firewalls — For AI teams
AI observability — For AI teams
Unified API & AI platform — For executives

Next step

A2A, governed

Give every agent a passport. Audit every conversation.

A 30-minute walkthrough — registry, identity, contracts, audit — on a Kubernetes of your choice.

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