I read this as: metro areas with US Urgent Care Centers, in CO.
The same question as a structured link: https://locationlists.com/find?areas=metro&dataset=urgent-care-list&state=CO&in_state=CO

LocationLists: places per metro in CO

7 metro areas in CO have at least one place from US Urgent Care Centers, state = CO (a) (a is in 7 metro areas in CO).

Set a: US Urgent Care Centers, state = CO. 333 places, 298 placed in a metro, 0 could not be placed, 35 outside metro areas. In 7 metro areas in CO.

7 matching areas:
- Denver-Aurora-Centennial, CO (19740): a 190 $1.84
- Colorado Springs, CO (17820): a 41 $0.65
- Boulder, CO (14500): a 22 $0.50
- Fort Collins-Loveland, CO (22660): a 18 $0.50
- Greeley, CO (24540): a 15 $0.50
- Grand Junction, CO (24300): a 6 $0.50
- Pueblo, CO (39380): a 6 $0.50

Rows behind a cell: the price beside each count is that cell's rows by card. Every cell's link is in the JSON (rows.<set>.find); the pattern is the set's own /find question plus areas_in=metro:<id>, e.g. https://locationlists.com/find?dataset=urgent-care-list&state=CO&areas_in=metro:19740.

Now get the rows (counts above are free; rows are paid):
- a — US Urgent Care Centers, state = CO in 7 metro areas: 298 places, $2.70 by card. https://locationlists.com/find?dataset=urgent-care-list&state=CO&areas_in=metro:19740,17820,14500,22660,24540,24300,39380
Prices are for every matching row; the link re-counts and gives the exact price, and total=<rows> buys fewer.

See it on a map (metro areas shaded by count, the matching ones outlined): https://locationlists.com/find/map?areas=metro&dataset=urgent-care-list&state=CO&in_state=CO

Set a: 354 rows matched, 21 of them the same place listed twice, so the areas count 333 distinct places. count_locations counts rows (354).

Counts only, free. No rows or contact details.
JSON: https://locationlists.com/find?areas=metro&dataset=urgent-care-list&state=CO&in_state=CO&format=json