Agentic Commerce
Agentic commerce is e-commerce where AI agents — shopping assistants, procurement bots, answer engines — discover products, compare offers, and complete purchases on behalf of humans.
Magendoo builds the tooling and does the engineering that makes a store legible to those agents.
What is agentic commerce?
Agentic commerce is the shift from humans browsing storefronts to AI agents transacting with them. An agent reads your catalog, filters by real attributes, checks stock and price, and completes checkout — through APIs and open protocols, not through your theme.
The shift is measurable. AI-referred orders on Shopify grew nearly 13x year-over-year in Q1 2026, then roughly tripled again year-over-year in Q2 (Shopify earnings). AI-referred shoppers convert at nearly 50% higher rates and spend 14% more per order than organic search visitors (Shopify, Q1 2026).
Stores that expose clean, structured, machine-readable commerce operations win this traffic. Stores that only render HTML for humans are invisible to it.
Two directions. One discipline.
Agentic commerce runs both ways. Agents buy from your store. Agents run your store. Most teams need both.
Agents as buyers
Shopping assistants and answer engines are already routing orders. They need structured product data, stable APIs, accurate stock and pricing, and checkout paths that follow open protocols. If an agent cannot parse your store, it recommends a competitor's.
Agents as operators
The same interfaces that let agents buy let agents work: catalog maintenance, order handling, data-quality checks, analytics on demand. An operations agent with typed, permissioned tools does in seconds what a back-office session does in minutes.
How do AI agents buy from a store?
Each step has a failure mode. We engineer against all three.
The protocol landscape
Between September 2025 and January 2026, every major AI and payments player standardized how agents buy. Three protocols matter.
An open standard (Apache 2.0) for connecting buyers, AI agents, and businesses to complete purchases. Specification maintained by OpenAI and Stripe. Powers ChatGPT Instant Checkout.
Google's open standard, announced January 2026, co-developed with Shopify, Etsy, Wayfair, Target, and Walmart. Covers discovery through checkout and post-purchase; powers checkout in Google AI Mode and Gemini.
The standard for connecting AI systems to tools and data. Created by Anthropic, governed by the Linux Foundation since December 2025, adopted across ChatGPT, Gemini, and Copilot. This is the layer our tooling is built on.
Protocols are settling. Store readiness is not. That gap is the work.
What tools does Magendoo build for agentic commerce?
Four tools. Built in the open where possible, run against production stores.
An MCP server connecting AI agents to Magento 2 and Adobe Commerce. 60 typed commerce tools — 18 storefront via GraphQL, 42 admin via REST. 895 automated tests. MIT licensed, Python.
Middleware that translates natural language into Magento 2 GraphQL. It discovers your store's schema — attributes, option values, price ranges — automatically. No Composer, no deployment, no version conflicts. Works on any Magento 2.4+ store.
Continuous detection across acquisition, catalog, search, checkout, orders, and fulfillment. The operational knowledge an agent needs before it can be trusted to act.
Connects to your Magento store and answers analytics questions in plain language — revenue, orders, inventory, customers. Real charts, seconds, no dashboard hunting.
How Agentic Search works
Agentic Search sits between natural language and your Magento 2 GraphQL API. It connects with nothing more than an integration token created in Magento Admin — no Composer packages, no code changes, no deployment, no version conflicts.
On first connection it discovers your store's schema automatically: a single GraphQL aggregations query returns every filterable attribute with its option values and price ranges, and customAttributeMetadata adds type information. The result is cached and refreshed on a schedule.
Incoming queries are matched against the cached options and converted into precise GraphQL filter objects with resolved option value IDs — LLM mode (Claude API) for ambiguous, multi-attribute queries, or rule-based regex mode at zero cost.
“We connected the middleware to our store in under 10 minutes. No Composer, no deployment, no version conflicts. It just discovered our catalog and started translating queries.”
Get early access to Agentic Search
Share your store details. We reply within 24 hours with a technical assessment and connection instructions.
Is your store ready for agentic commerce?
Most stores are not. Typical blockers: catalog attributes agents cannot filter on, undocumented or unstable APIs, structured data that contradicts the page, checkout flows that assume a human with a mouse.
The Agentic Engineering Assessment answers this in one to two weeks: which surfaces agents can safely use today, where the architecture blocks them, and what to build first. Fixed fee, agreed before we start. Never hourly, never open-ended.
Frequently asked questions
Find out what agents see when they look at your store.
A fixed-scope assessment. One to two weeks. A prioritized roadmap you can execute with us or without us.