The Scenario
You're an energy researcher three days into a grid analysis project. Your dataset covers 12 German postal codes representing different grid zones, and you need the renewable energy dispatch breakdown for each — where the green electrons are coming from, and whether each zone is a net importer or exporter of renewable energy right now.
Your supervisor asked for the first draft of the analysis by end of week. The data doesn't exist in your sheet yet.
The bad version:
- Call the Corrently dispatch endpoint for grid zone 1, parse the response to find the top source entries, note the import and export percentages from a nested field you had to dig around to find
- Re-read the API docs to confirm you extracted the right field names
- Enter the three source names and shares into columns B, C, and D — then move to zone 2 and repeat, knowing that each zone's response might come back in a slightly different structure depending on what's generating in that area
Twelve zones, each with a different mix of sources and flow directions. By the time you finish zone 12, zone 1's data is already 90 minutes old.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads your postal code list, calls the Corrently renewable energy dispatch endpoint for each grid zone, and writes the top generation sources, their shares, and the import/export percentages back into the correct columns.
For each German postal code in column A, fetch the renewable energy dispatch data from Corrently and write the top 3 generation sources and their shares into columns B, C, and D, with source names and percentages alternating
What You Get
- Columns B/C: first source name and its share percentage for each grid zone
- Columns D/E: second source name and share
- Columns F/G: third source name and share
- Column H: net import percentage (share of renewable energy flowing into the zone from outside)
- Column I: net export percentage (share flowing out to other zones)
What If the Data Is Not Quite Ready
You want a simplified view: just import %, export %, and dominant source
For the summary table, three numbers per zone is enough.
For each postal code in column A, fetch the Corrently dispatch data and write the dominant renewable source name to column B, the import percentage to column C, and the export percentage to column D
Some postal codes in your list are outside the Corrently coverage area
A few of your 12 zones are near borders and may not return dispatch data.
Fetch Corrently dispatch data for each postal code in column A, write the top source and its share to columns B and C and the import/export percentages to columns D and E, and mark any ZIP code that returns no data "COVERAGE GAP" in column F
You want to cross-reference dispatch data against the site labels from a second sheet
Sheet2 has the zone names and researcher assignments for each postal code.
Look up the zone name for each postal code in column A by matching against column A of Sheet2, then fetch the Corrently dispatch breakdown for each and write the zone name to column B, the top 3 sources to columns C, D, and E, and the import percentage to column F
End-to-end: validate ZIPs, fetch dispatch, join zone names, flag coverage gaps, and surface net exporters
Full research pipeline: clean data, fetch, join, flag, and surface the most interesting zones.
Normalize the postal codes in column A, look up zone names from Sheet2 column A/B and write them to column B, fetch the Corrently dispatch breakdown for each and write the top source to column C and its share to column D, write import % to column E and export % to column F, mark any ZIP with no data "COVERAGE GAP" in column G, and flag zones where export % exceeds 50% with "NET EXPORTER" in column H
The analysis draft writes itself when the data is structured.
Try It
Get the 7-day free trial of SheetXAI and open your grid zone research sheet with German postal codes in column A, then ask it to pull the Corrently dispatch breakdown for every zone. For related reads, see pulling the German electricity generation mix and the Corrently integration overview.