autonomous purchasing · machine commerce

How Do AI Agents Pay for APIs?

An AI agent can pay for an API programmatically when the service publishes machine-readable payment terms and the agent has a wallet or payment capability governed by a spend policy. With x402, the request itself becomes the place where pricing, authorization and settlement are coordinated.

Canonical SqueezeOS implementation:
x402 v2 → Coinbase CDP → USDC → Base mainnet (eip155:8453)
Read current live payment terms

The machine payment flow

Agent requests a resource.

The client calls an API, tool or resource it wants to use.

Server returns HTTP 402.

The response describes accepted payment requirements in a machine-readable form.

Agent evaluates policy.

The client can compare price, network, asset and resource identity against a configured spend policy before authorizing anything.

Agent creates a payment authorization.

For the canonical SqueezeOS rail, the payment asset is USDC on Base mainnet and Coinbase CDP is the facilitator.

Agent retries with the payment credential.

The original request is retried with the protocol-defined payment data.

Server verifies, executes and settles under policy.

Supported SCRIPTMASTERLABS guarded resources separate authorization from earned settlement: verify → execute → validate acceptance → settle → release.

Agent receives the result and settlement evidence.

A successful 402 challenge alone is not payment proof. Settlement evidence is the stronger authority.

Why this matters for autonomous agents

Related market vocabulary

Common retrieval terms include agentic payments, machine payments, programmatic payments, machine-to-machine payments, autonomous purchasing, agent commerce, pay-per-call APIs, API micropayments, MCP payments, MCP monetization, payment-as-authentication, USDC on Base, x402 facilitator, service discovery, agent marketplace and machine commerce.

Machine entry points