Shelfglance

Agent endpoint

What an agent sees at rattanebike.com

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

ProductPriceCategorySKU
Rattan LM Ultra (Europe) $1,399.00 set na EUT-01GR
Rattan LF Ultra $1,399.00 set na LFUT-RE
Rattan Pathfinder Pro (Europe) $1,299.00 set na PF-BU
Rattan LF Ultra (Europe) $1,399.00 set na EUT-02RE
Rattan Mukkpet Racer (Europe) $1,099.00 set na MRC3-BL
Rattan LM Ultra $1,399.00 set na LMUT-GR
Pathfinder for Develop $1,199.00 not set RP-03
controller $99.99 set el-7-9-12-5-2 none
Front Basket(suitable for LM/LF) $129.00 set na RT-CLFRONT
Rattan Rack Bag $129.00 set na RT-BAG

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 9 of 10 carried a category and 9 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.