Shelfglance

Agent endpoint

What an agent sees at woodleindia.com

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

ProductPriceCategorySKU
Natural Mango Wood Round Plate ₹75.00 set na none
Peacock Jharokha Mandala Set Pre Marked MDF Design 1 ₹85.00 set na none
Pichwai Cow And Lotus Jharokha Pre Marked Base MDF Design 1 ₹100.00 set na none
Pichwai Cow And Lotus Set Pre Marked MDF Design 1 ₹40.00 set na none
Diya Tealight Holder MDF Design 4 ₹25.00 set na none
Hindu God Panduranga Vittala Pre Marked MDF Design 2 ₹17.00 set na none
Earrings MDF Design 308 ₹25.00 set na none
Diya Tealight Holder MDF Design 18 ₹25.00 set na none
Diya Tealight Holder MDF Design 29 ₹50.00 set na none
Mandala Dotting Tool 02 (Set Of 8) ₹100.00 set na DT-02-S8

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 1 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.