Trust signals
The agent evaluates merchants through quantified metrics, not subjective ratings.
Canonical reference
Agentic Commerce
The definitive reference
What it is, how it works, and why AI agents need a trust layer to operate in digital commerce environments.
What is agentic commerce?
The intermediary is no longer human
Agentic commerce is commerce initiated or executed by AI agents autonomously or semi-autonomously on behalf of users. While in traditional ecommerce the human buyer browses, filters, and decides, in agentic commerce an agent performs those tasks using structured trust signals.
Machine-readable policies
Return, shipping, and support rules in a format agents can read and apply.
Structured data
Catalog with prices, availability, and descriptions synchronized in real time.
Authenticated APIs
Secure endpoints with authentication so agents can operate verifiably.
Execution cycle
How it works step by step
- 01
Intent delegation
The user tells the agent what they need: 'Find me the best running shoes under '.
- 02
Search with trust signals
The agent queries the AgenticMCPStores API with search_products and filters results by a configurable minimum trust score.
- 03
Compare and filter
The agent compares prices, availability, and return policies. It discards merchants with low trust scores or incomplete policies.
- 04
Confirmation if needed
If the amount exceeds the user threshold, the agent presents a summary and waits for explicit approval before proceeding.
- 05
Checkout or link
The agent calls complete_checkout and delivers the direct purchase link to the user, or completes the transaction if authorized.
The role of AgenticMCPStores
Infrastructure layer, not payment layer
AgenticMCPStores is not a payment processor or merchant of record. It is the infrastructure layer that aggregates trust signals, policies, and execution so agents can operate with merchants reliably.
Shopify
Native connector. Syncs catalog, prices, and inventory in real time.
WooCommerce
Integration plugin. No rebuilding checkout or existing payments.
Etsy
Marketplace connector. Indexes products and policies for agents.
Trust layer
Why agents need a trust layer
Without a trust layer, an agent cannot differentiate a reliable merchant from an unverified one. With a trust layer, the agent has quantified signals to make decisions on behalf of the user.
catalog_completeness
Catalog completeness
catalog_freshness
Catalog freshness
price_accuracy
Price accuracy
availability_accuracy
Availability accuracy
policy_coverage
Policy coverage
checkout_success_rate
Checkout success rate
fulfillment_rate
Fulfillment rate
dispute_rate
Dispute rate (inverse)
MCP protocol
MCP: the emerging standard for agents
The Model Context Protocol (MCP) lets agents connect to external services with structured semantics and verifiable authentication. It is the standard adopted by ChatGPT, Claude, and leading agent frameworks.
search_productsSearch products with trust score, price, and category filters.
create_cartCreate a cart with user confirmation if above the threshold.
preview_checkoutPreview cart totals and policies before completing checkout.
complete_checkoutComplete checkout. Always requires explicit confirmation.
Base URL
https://mcp.agenticmcpstores.com/v1Authentication: Bearer token per merchant · TLS 1.3 required
Action boundaries
What an agent can do without confirmation
search_productsNo confirmation needed
compare (get_products)No confirmation needed
create_cartConfirm if above threshold
complete_checkoutAlways confirm
FAQ
Frequently asked questions about agentic commerce
What is agentic commerce?
Agentic commerce is commerce initiated or executed by AI agents autonomously or semi-autonomously on behalf of users. The intermediary is not a human but an agent that searches, compares, and, if authorized, completes the transaction.
How does an agent know which merchant to trust?
Through a quantified trust score (0.0–1.0) that aggregates eight signals: catalog completeness, freshness, price accuracy, availability accuracy, policy coverage, checkout success rate, fulfillment rate, and dispute rate.
Can an agent complete a purchase without my involvement?
It depends on the configured action boundaries. Checkout always requires user confirmation. Cart creation may require confirmation if the amount exceeds the threshold. Search and compare never need confirmation.
What is the AgenticMCPStores trust score?
It is a score from 0.0 to 1.0 that quantifies the operational reliability of a merchant for AI agents. It is calculated from eight components measuring the quality, freshness, and consistency of merchant data.
What is MCP and why do agents use it?
MCP (Model Context Protocol) is the emerging standard for AI agents to connect to external services in a structured and authenticated way. It allows agents to call tools like search_products, create_cart, or complete_checkout with consistent semantics.
What structured data does my store need to be agent-friendly?
Your store needs accurate and up-to-date product data (name, price, availability), machine-readable policies (returns, shipping, support), and an authenticated API with quantified trust signals.
What is the difference between agentic commerce and traditional ecommerce?
In traditional ecommerce the human buyer browses, compares, and decides. In agentic commerce an AI agent performs those tasks on behalf of the user, using structured trust signals instead of human intuition.
How do I integrate my store with AgenticMCPStores?
Connect your Shopify, WooCommerce, or Etsy store via the native connector. AgenticMCPStores syncs your catalog, calculates your trust score, and indexes your policies so agents can discover and operate with you.
Make your store agent-ready
Connect in minutes. No rebuilding your payments stack.