Shelfglance

Agent endpoint

What an agent sees at tigerfeet.com

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

ProductPriceCategorySKU
Tiger Feet Soft Toy T-Rex 32cm £10.50 not set IT769646
Tiger Feet Soft Toy Birthday Bear Brown £12.10 not set IT769661
Tiger Feet Soft Toy Birthday Bear White £12.10 not set IT769662
Tiger Feet Plush Rabbit 21cm £6.85 not set IT210082
Tiger Feet Soft Toy Horse 26cm (Colour May Vary) £9.25 not set IT712114
Tiger Feet Soft Toy Baby Sensory Sunflower 26cm £6.30 not set IT769645
Tiger Feet Plush Alligator Multicolour 30cm £9.45 not set IT741217
Tiger Feet Soft Toy Fluffy Elephant Blue 21cm £8.40 not set IT769658
Tiger Feet Soft Toy Triceratops £10.50 not set IT769647
Tiger Feet Plush Bear Mam 24cm £8.30 not set IT741199

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 0 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.