The Scenario
You are a finance analyst. Your company's Klipfolio revenue dashboard pulls from a data source called Monthly Revenue that aggregates the numbers your BI team maintains. The dashboard visualizations look fine, but this quarter you need to run a detailed pivot table analysis that Klipfolio's built-in charts cannot support.
You need the raw rows out of that data source and into Google Sheets. The board deck is due Thursday.
The slow version:
- Ask the BI team to export a CSV from the data source
- Wait for someone to respond
- Realize the CSV format does not match what you expected
- Go back and forth on column names
- Paste the data into the sheet yourself
- The board deck goes out with last quarter's analysis because the data arrived Thursday afternoon.
The fast version is one prompt and you run your pivot table by noon.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your spreadsheet that reads the Klipfolio API directly and writes the instance data into the sheet, so you do not have to wait on anyone.
Open the SheetXAI sidebar and type:
Pull data from the Klipfolio data source instance named 'Monthly Revenue' and write every row into this sheet starting at cell A1. Add a SUM row at the bottom for any numeric columns.
SheetXAI calls the Klipfolio data source instance API, retrieves the full data set, writes every row starting at A1, and adds the SUM row at the bottom. No CSV, no waiting, no column mismatch.
What You Get
The full raw data from the Klipfolio instance, in the sheet:
- Headers in row 1 — column names as they appear in the data source
- One row per record — all fields, all values
- SUM row at the bottom — totals for every numeric column
The data comes out clean, not as a flattened text blob. SheetXAI parses the API response and writes it into properly delimited columns, so your pivot table sees the right data types from the start.
From there, your pivot table, your VLOOKUP, your regression formula — they all work immediately. You did not need to clean the CSV.
What If the Data Is Not Quite Ready
Raw Klipfolio data source instances are not always analysis-ready. SheetXAI handles normalization in the same prompt.
When numeric fields come through as text strings
The API returns revenue figures like "$1,234.56" as strings. Your pivot table cannot sum them.
Pull data from the Klipfolio data source instance named 'Monthly Revenue' into this sheet. For any column where values look like currency (dollar sign, commas), strip the formatting and convert them to plain numbers. Then add a SUM row.
When you need only a specific date range
The instance has 24 months of history and you only need the last two quarters.
Pull all rows from Klipfolio data source instance 'Monthly Revenue' into this sheet. Keep only rows where the date column falls in Q3 or Q4 of 2025. Write the filtered rows starting at A1 and add a SUM row at the bottom.
When column names use internal codes instead of readable labels
The BI team built the data source with column headers like "rev_amt_net_adj" instead of "Net Revenue."
Pull the raw data from Klipfolio data source instance 'Monthly Revenue' into this sheet. Rename the following columns to human-readable labels before writing: rev_amt_net_adj → Net Revenue, cogs_total → Cost of Goods, gp_pct → Gross Margin %. Then add a SUM row.
When you need the raw data, the summary, and a ready-to-present output all in one pass
The board deck needs the pivot table and a one-paragraph narrative summary of the numbers.
Pull all data from Klipfolio data source instance 'Monthly Revenue' into the 'Raw Data' tab. Then calculate total net revenue by month and write a monthly summary table into the 'Summary' tab. In cell A1 of the 'Narrative' tab, write a two-sentence plain English summary of the revenue trend, noting the highest and lowest months.
The pattern: instead of pulling the data and then deciding what to do with it, describe the full output in one prompt. SheetXAI does the retrieval and the analysis together.
Try It
Get the 7-day free trial of SheetXAI and open a blank sheet, then ask it to pull the raw data from any Klipfolio data source instance. The Klipfolio integration is included in every SheetXAI plan. For related workflows, see how to push updated data back into a Klipfolio source or the Klipfolio in Google Sheets overview.