The Scenario
You coordinate health and safety for a network of 25 outdoor sports camps. Every morning, your team needs UV index readings for each camp location so staff can prepare the right sun protection advisories before activities begin. You have a Google Sheet with camp names in column A, latitudes in column B, and longitudes in column C. Column D is supposed to have today's UV index. Column E is supposed to flag anything above 7 as "HIGH."
It's 7:15 AM. Activities start at 9.
The bad version:
- You locate the OpenWeather UV Index endpoint (separate from the main weather endpoint — different URL format, different response schema), start calling it manually with lat/lon pairs from the sheet, and copy the UV index value from the
valuefield in each JSON response into column D. - Around camp 8, you realize the UV index endpoint requires Unix timestamps for the
dtparameter if you want a specific time, and you're not sure what Unix time corresponds to right now, so you leave the parameter out and hope the default is correct. - You've done 12 of 25 camps when someone Slacks you asking if the advisory for the lake camp went out yet.
Forty-five minutes into a task that should have taken three, you're still in the API sandbox.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads the coordinates from columns B and C, calls the OpenWeather UV Index endpoint for each camp location, and writes the results — including the threshold flag — in a single pass.
Fetch the current UV index for all rows using the latitude in column B and longitude in column C, and write the UV index score into column D — add 'HIGH' in column E for any UV index above 7
What You Get
- Column D: current UV index score for each camp location
- Column E: "HIGH" for any location where UV exceeds 7; blank otherwise
- Any coordinate pairs that return errors from the API are marked so you can investigate the source data
- The sheet is ready for distribution by the time the first activity group assembles
What If the Data Is Not Quite Ready
A few camps have coordinates recorded as DMS format (degrees/minutes/seconds) instead of decimal
Convert any coordinates in columns B and C that appear to be in DMS format to decimal degrees, then fetch the current UV index from OpenWeather for each row and write scores into column D with 'HIGH' flags in column E for UV above 7
You need a 3-day UV forecast, not just today's reading
For each row in the 'Camp Locations' sheet, get the UV index forecast for the next 3 days from OpenWeather and write the peak UV value per day into columns D, E, and F — add 'HIGH' labels in columns G, H, and I for any day where peak UV exceeds 7
You have two sheets — 'Day Camps' and 'Residential Camps' — that both need the same UV enrichment
Fetch today's UV index from OpenWeather for all locations in the 'Day Camps' tab (lat B, lon C) and the 'Residential Camps' tab (same layout), write UV scores into column D on both sheets, and flag column E as 'HIGH' where UV exceeds 7
Pull UV data, add advisory text, and prepare the morning distribution file in one prompt
Fetch current UV index from OpenWeather for all 25 camp locations using lat/lon from columns B and C, write scores into column D, flag column E as 'HIGH' for UV above 7, then write a brief staff advisory in column F: 'SPF 50+ required, hats mandatory' for HIGH locations and 'Standard sun safety applies' for all others
One prompt gets the data, the classification, and the advisory text into the sheet before the 9 AM bell.
Try It
Open your camp locations sheet and Get the 7-day free trial of SheetXAI — ask it to fetch UV index scores for all 25 rows and flag the high-exposure sites before morning activities. You can also see how SheetXAI handles historical UV index datasets for longitudinal research, or browse the full OpenWeather API integration overview.