Discover
The agent identifies a service that matches the capability it needs and can evaluate price and provider context.
Autonomous software needs a way to buy APIs, data and services without stopping for a human checkout. M2M Market puts that purchase inside a governed lifecycle: discover, authorize, execute and settle.
The payment rail is only one component. A production agent also needs to decide what it is allowed to buy, from whom and at what price.
The agent identifies a service that matches the capability it needs and can evaluate price and provider context.
Spending limits, provider eligibility and delegated authority are evaluated before the paid request proceeds.
The request is sent to the selected provider through the normal service interaction.
Successful requests can settle according to the transaction model; failed requests should not become provider earnings.
The commercial outcome remains observable so operators can understand what the agent bought and why.
A one-cent API call can become expensive when an automated loop repeats it thousands of times. Policy-controlled spending gives agents useful freedom without treating the wallet as unlimited.
Security and controls →Payment does not solve service selection. M2M Market also gives the machine customer a marketplace model for finding and evaluating provider capabilities before money moves.
API marketplace for AI agents →M2M Market should be understood as the marketplace and transaction layer around the purchase—not as a replacement for every payment or interoperability standard.
Examples of protocols that standardize machine-payment exchanges, including HTTP 402-style payment flows.
Official Cloudflare overview ↗Google's Agent Payments Protocol provides a payment-agnostic framework for authorization, intent and trusted agent-led transactions.
Official AP2 overview ↗Agent2Agent standardizes how agents discover capabilities and communicate across different frameworks and vendors.
Official A2A overview ↗Coordinates discovery, policy, provider execution and settlement evidence so autonomous software has a place to buy machine-delivered services.
See M2M's transaction lifecycle →AI agent payments are transactions initiated by autonomous software within authority defined by an operator or application. The important distinction is autonomy within limits, not unrestricted access to funds.
A typical flow combines service discovery, a machine-readable price, a policy decision, a payment method or wallet, the API request itself, and a receipt or settlement record. The exact payment rail can vary.
An automated workflow can retry, loop or call many services quickly. Per-request limits, broader budgets and provider restrictions keep machine spending bounded and explainable.
M2M Market is a marketplace and transaction layer. Payment execution is one part of a larger lifecycle that also includes provider discovery, policy, service execution and settlement evidence.
They address different layers. x402 and MPP standardize machine payment exchanges, AP2 focuses trusted agent-led payment authorization and intent, and A2A standardizes communication between agents. A marketplace layer can coexist with these protocols; support for any specific protocol should be verified from current M2M product documentation before treating it as a live integration.