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Glossary

All important terms related to Agentic Commerce — clearly explained.

A

A2A — Agent-to-Agent Protocol

Google's protocol for communication between AI agents. Enables multi-agent workflows where specialized agents collaborate.

ACP — Agentic Commerce Protocol

Open standard by OpenAI and Stripe for transactions between AI agents and merchants. Defines Product Feeds, Checkout API and Delegated Payment.

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Agent Experience

The quality of interaction between an AI agent and a digital system. Increasingly replacing User Experience as the optimization target in Agentic Commerce.

Agent Pay — Mastercard Agent Pay

Mastercard's system for AI agents in the payment flow that automatically initiates and manages transactions.

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Agentic Checkout

A checkout process executed programmatically by an AI agent instead of by a human through a web interface.

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Agentic Commerce

Commerce model in which autonomous AI agents make purchasing decisions and execute transactions on behalf of users.

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AP2 — Agent Payments Protocol

Google's universal payment framework for AI agents, based on digitally signed mandates.

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Autonomous Shopping

The highest level of Agentic Commerce: AI agents purchase without explicit approval per transaction, based on predefined rules.

AI Agent

An autonomous AI system that pursues goals, creates plans and executes actions in the real world — as opposed to a chatbot that only responds to queries.

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B

Business Agent — Google Business Agent

Google's AI system that allows customers to chat directly with brands and merchants in Google Search. Based on the Universal Commerce Protocol (UCP).

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C

Checkout API

REST-based interface in ACP with four endpoints: CreateCheckout, UpdateCheckout, CompleteCheckout and CancelCheckout. Enables AI agents to manage shopping carts programmatically.

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Conversational Commerce

Predecessor of Agentic Commerce: shopping via chat interfaces (WhatsApp, Messenger), but still with human control at every step.

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D

Delegated Payment

Payment method where an agent uses tokenized credentials (e.g., SharedPaymentToken) to pay on behalf of the user.

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Discovery

The phase in the commerce lifecycle where products are found and compared. Standardized in UCP, covered via the Product Feed Spec in ACP.

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F

Function Calling

The ability of modern LLMs to call external functions and APIs during a conversation. Technical prerequisite for an agent to search products, create carts and trigger payments.

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G

GEO — Generative Engine Optimization

Optimization of content and product data for AI-powered search systems and agents, rather than just for traditional search engines.

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H

Headless Commerce

E-commerce architecture with separated frontend and backend connected via APIs. Ideal foundation for Agentic Commerce since the API infrastructure already exists.

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I

Identity Linking

In UCP: Linking a user account at the AI agent with an existing customer account at the merchant. Enables personalized pricing, loyalty points and order history.

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Instant Checkout

OpenAI's feature in ChatGPT that allows users to purchase products directly in the chat. First production implementation of ACP.

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L

LLM — Large Language Model

Large language model such as Claude (Anthropic), GPT (OpenAI) or Gemini (Google). Technological foundation for AI agents in Agentic Commerce — understands natural language, plans actions and calls APIs.

M

Mandates

In the AP2 protocol: Digitally signed authorizations that define what an AI agent may spend on behalf of the user — including amount limits, merchant categories and validity periods.

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MCP — Model Context Protocol

Open protocol by Anthropic that connects LLMs with external tools and data sources. The 'USB port' for AI — a shop provides an MCP server, any agent can use it.

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Merchant of Record

The merchant who is legally responsible for a transaction. With ACP and UCP, the merchant remains MoR — not the AI platform. Pricing, fulfillment and customer service remain with the merchant.

Multi-Agent System

Architecture in which multiple specialized AI agents collaborate: a research agent searches, a comparison agent evaluates, a checkout agent purchases.

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P

Product Feed

Structured dataset with product information (prices, availability, variants, images) that AI agents can retrieve in machine-readable format. Comparable to Google Shopping Feeds.

Prompt Injection

Attack vector where manipulated inputs lead an AI system to unintended actions. A risk in Agentic Commerce: manipulated product data could lead an agent to make erroneous purchases.

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R

Rufus

Amazon's AI shopping assistant, integrated into the Amazon app. Advises on purchase decisions, compares products — but only within the closed Amazon ecosystem.

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S

Schema.org

Standard for structured data on web pages, initiated by Google, Microsoft, Yahoo and Yandex. Essential in Agentic Commerce for AI agents to correctly interpret product information.

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SharedPaymentToken

Tokenized payment information in ACP/Stripe: single-use, bound to a specific amount and merchant, time-limited. Real card data is never transmitted.

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Shopping Graph

Google's database with billions of product listings from across the web. Foundation for Google Shopping and the Business Agent — the most comprehensive machine-readable product database in the world.

T

TACP — Trusted Agentic Commerce Protocol

Forter's protocol for customer data retention and fraud prevention in Agentic Commerce. Uses JWE encryption to securely pass customer data to merchants.

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Tool Discovery

In MCP: The ability of an agent to automatically detect which functions an MCP server provides. An agent 'discovers' that a shop offers product search, cart and checkout.

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U

UCP — Universal Commerce Protocol

Open standard by Google and Shopify for the entire commerce lifecycle: Discovery, Identity Linking, Checkout and Post-Purchase Management.

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X

x402

Open micropayment protocol by Coinbase, based on the HTTP 402 status code ('Payment Required') and stablecoins. Enables agents to pay for API access and digital content.

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Z

Zero-Click Commerce

Purchase process without a manual click by the user. The ultimate goal in Agentic Commerce: the agent detects a need, finds the best product and purchases it — the user confirms at most by voice or gesture.

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