Shelfglance

Agent endpoint

What an agent sees at sweetmarias.com

Searching sweetmarias.com for sweetmarias the way a shopping agent would returned 10 products. This is what it received.

ProductPriceCategorySKU
Sweet Maria's Liquid Amber Espresso Blend $8.55 set fb-1-3-1 GCX-2655-001
India Chikmagalur Gemberly Robusta $7.15 set fb-1-3-1 GCX-8616-001
El Salvador Dry Process Cuscatleco $8.35 set fb-1-3-1 GCX-8669-001
Burundi Dry Process Nyabiraba Kinama $9.35 set fb-1-3-1 GCX-8664-001
Ethiopia Uraga SWP Decaf $9.95 set fb-1-3-1 GCX-8709-001
Set: Espresso Green Coffee Sampler $32.50 set fb-1-3-1 GCX-SPEX-004
Set: Regular Green Coffee Sampler $33.50 set fb-1-3-1 GCX-SPRG-004
Sumatra Aged Lintong - 5 Year Vintage $9.15 set fb-1-3-1 GCX-8679-001
Sweet Maria's New Classic Espresso $8.75 set fb-1-3-1 GCX-2933-001
Sweet Maria's 10 Speed Blend $8.85 set fb-1-3-1 GCX-7834-001

Price, title, description and URL are Shopify’s doing and are filled in for you. Category and SKU are yours, set per product in your admin. Here 10 of 10 carried a category and 10 of 10 carried a SKU.

Read another one

Leave the search term blank and we use the store name. Any Shopify store, not just your own.

What you are looking at

Your store answers AI shopping agents at /api/ucp/mcp, speaking the Universal Commerce Protocol. Shopify switched it on; it is not in your admin and nothing in your theme controls it. We sent it the same search_catalog request an agent would and put the answer in a table. The long version, with what we found across sixty stores, explains why the two columns on the right are the only ones you can change.

This is not a score and nothing here is a fault. If you want the graded version — whether your pages can be read, not just your endpoint — the scan covers that.