The Scenario
You are an economics graduate student. Your regression project is due in ten days. You need a single Excel workbook table with monthly CPI, unemployment rate, nonfarm payroll, and retail sales going back ten years. Your advisor wants clean columns, no gaps, no formatting issues, and the workbook needs to be shareable via OneDrive.
The frustrating version:
- You go to the Alpha Vantage documentation, find the CPI endpoint
- You make the API call, get the JSON, paste the monthly values into column B
- You find the unemployment rate endpoint, make another call, align the dates
- You repeat for nonfarm payroll and retail sales
- You spend forty-five minutes on date alignment because the different series use different date formats
- You still have not started the actual regression.
The fast version is one prompt.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your workbook that calls all four Alpha Vantage macro series and assembles the aligned table so you can go straight to the analysis.
Open the SheetXAI sidebar and type:
Fetch monthly CPI, unemployment rate, and nonfarm payroll data from Alpha Vantage for the last 10 years and arrange them in columns A through D with dates in column A. Then add retail sales in column E, aligned to the same monthly dates.
SheetXAI calls each Alpha Vantage economic indicator endpoint, aligns the monthly dates across all four series, and writes the complete table into the workbook. No manual date reconciliation.
What You Get
A clean ten-year monthly table on the Data tab:
- Column A — date (aligned across all four series)
- Column B — CPI (monthly reading)
- Column C — unemployment rate
- Column D — nonfarm payroll (monthly change)
- Column E — retail sales
The dates align automatically. If one series publishes on the first of the month and another publishes mid-month, SheetXAI normalizes to the shared period. You get a table your regression tool can read without preprocessing.
Need real GDP and inflation in a separate annual table? Same prompt structure, different series names.
What If the Data Is Not Quite Ready
Macro data sets from different endpoints rarely come out perfectly matched. SheetXAI handles the reconciliation and the fetch together.
When you also need the real GDP growth rate by year
Your advisor wants an annual GDP growth rate column alongside the monthly macro table.
Fetch monthly CPI, unemployment, nonfarm payroll, and retail sales from Alpha Vantage for the last 10 years and write them into columns A through E. Then pull quarterly real GDP from Alpha Vantage, aggregate to annual values, and calculate the year-over-year real GDP growth rate. Write the annual dates and growth rates into a separate table starting at column G.
When you need to normalize the series to an index base
For the regression you need all four series indexed to 100 at the start of the period, not in their native units.
After writing the 10-year monthly macro data into columns A through E, add an index version of each series starting at 100 in January of the first available year. Write the indexed columns into columns F through I using the same row structure.
When you want to flag recession periods in the table
Your analysis needs a binary recession indicator column aligned to historical business cycle dates.
In the macro table in columns A through E, add a column J that marks 1 for any month that falls within a historical US recession period (2001, 2007-2009, 2020) and 0 otherwise.
When you need the full dataset with growth rates and a written summary for the methods section
Your dissertation committee wants the data table, year-over-year growth rates for each series, and a two-paragraph data description for the methods section.
Fetch 10 years of monthly CPI, unemployment, nonfarm payroll, and retail sales from Alpha Vantage and write them into columns A through E. Calculate year-over-year percentage change for each series and write into columns F through I. Add a two-row summary at the top showing the mean and standard deviation of each series over the full period. Write a two-paragraph plain-English description of the dataset into cell A130 for use in a methods section.
The pattern: the data fetch, the transformation, and the written output happen in one prompt. You start the regression from a finished dataset, not a raw export.
Try It
Get the 7-day free trial of SheetXAI and open any workbook for economic analysis, then ask it to pull Alpha Vantage macro series and build the aligned table. The Alpha Vantage integration is included in every SheetXAI plan. For related workflows, see how to build a commodity price comparison table in Excel or the Alpha Vantage in Excel overview.