The Scenario
You run smart-grid operations for a mid-size industrial company with 25 German facilities. Your job this week is to figure out which sites to run high-load processes at during the next 6-hour window — before prices spike at the locations that draw from a more expensive grid zone.
The facility ZIP codes are in column A of your sheet. The site names are in column B. That's the whole setup.
The bad version:
- Call the Corrently pricing endpoint for facility 1, note the current price and the 6-hour forecast
- Switch to a second terminal tab for facility 2, and so on — pausing each time to decide which number goes into which cell
- After 25 calls, realize the prices from the first five facilities were already 40 minutes old and re-run those
Nobody audits that you spent two hours on this. But those two hours weren't in the project plan.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads your facility list, queries Corrently's electricity pricing endpoint for each postal code, and writes the current price and 6-hour forecast back into the correct rows — without requiring you to know how the API is structured.
For each German postal code in column A, fetch the current electricity market price and the next 6-hour price forecast from Corrently and write them into columns C and D
What You Get
- Column C: the current spot electricity price in EUR/kWh for each facility
- Column D: the 6-hour price forecast (next horizon price or average, depending on what Corrently returns for the zone)
- Rows with unavailable pricing marked with a note so you know which facilities need manual follow-up
- All 25 facilities updated in a single run without stale data from staggered API calls
What If the Data Is Not Quite Ready
You want to rank and flag the cheapest sites automatically
Pulling numbers is one thing. Acting on them is another.
Get the current electricity price for each postal code in column A from Corrently, write it to column C, and mark the 3 facilities with the lowest current price "PRIORITY" in column D
The ZIP codes include facility codes mixed in
Your ops team exports the facility list with internal codes appended to the ZIP — like "10115-FAC03".
Clean the values in column A by extracting only the first 5 characters as the postal code, then fetch current electricity prices and 6-hour forecasts from Corrently and write them to columns C and D
You need to compare today's price against last week's recorded price
Column E already has last week's price. You want the delta.
Fetch the current electricity price from Corrently for each postal code in column A, write it to column C, and calculate the difference between column C and column E, writing the result to column F — flag any row where the price increased more than 20% with "WATCH" in column G
End-to-end: clean, fetch, compare, and flag in one prompt
Data is messy, you want current prices, you need the delta against last week, and you want priority sites surfaced.
Normalize the postal codes in column A, fetch current electricity prices from Corrently and write them to column C, calculate the change from column E (last week's prices) into column F as a percentage, write the 6-hour forecast to column D, and mark the 3 lowest-current-price sites "PRIORITY RUN" in column G
One ask. No intermediate steps to track.
Try It
Get the 7-day free trial of SheetXAI and open your facility workbook with German postal codes in column A, then ask it to pull live electricity pricing from Corrently for every site. For related tasks, see generating device operation schedules and the Corrently integration overview.