The Scenario
You are on the platform team. At 4:15 PM on Thursday the head of engineering asks for a chart of daily error volume for the last thirty days overlaid with deployment dates. She wants it by morning so the BI analyst can build the overlay.
The data is in Sentry. You need it in an Excel workbook before the end of the day.
The slow version:
- Open Sentry Stats, try to export the data
- Find the API docs for event stats
- Write a script, authenticate, debug pagination
- Copy the output into Excel
- It is 5:55 PM. You are still fixing the column headers.
The fast version is one prompt and you share the workbook link before 4:30.
The Easy Way: One Prompt in SheetXAI
SheetXAI reads the Sentry event stats API and writes the data directly into the workbook.
Open the SheetXAI sidebar and type:
Pull Sentry organization event stats for the last 30 days broken down by day from organization 'my-org' and write each date and total error event count into columns A and B of this workbook. Format dates as YYYY-MM-DD. Add a header row.
SheetXAI calls the Sentry stats API and writes thirty rows of daily event counts into the workbook in under a minute.
What You Get
A two-column table: date in column A, error count in column B, with a header row. Add a third column for deployment dates from your release log, and the overlay chart the head of engineering asked for takes five minutes to build in Excel.
What If the Data Is Not Quite Ready
When you need only the error category, not all event types
Pull Sentry event stats for the last 30 days from 'my-org'. Use the 'errors' category only. Write date and error count into columns A and B formatted as YYYY-MM-DD and integer.
When the head of engineering also wants a per-project breakdown
Pull Sentry event stats for the last 30 days from 'my-org' broken down by project. For each project, write the project name and daily error counts into a separate tab named after the project.
When you want a tighter 14-day window with anomaly highlighting
Pull Sentry event stats for the last 14 days from 'my-org', broken down by day. Write date and total error count into columns A and B. Highlight in red any day where the error count is more than 20% above the 14-day average.
When you want the volume data plus an automatic regression flag
Pull Sentry event stats for the last 30 days from 'my-org'. Write date and error count into columns A and B. In column C, write 'spike' if the day's count is more than two standard deviations above the 30-day mean, and 'normal' otherwise. Add a summary showing spike dates, mean, and standard deviation in the first three rows.
The pattern: the raw pull is one prompt. The analysis is part of the same prompt.
Try It
Get the 7-day free trial of SheetXAI and ask it to pull your Sentry event stats into any Excel workbook. The Sentry integration is included in every plan. See also how to export Sentry issues for sprint planning in Excel or the Sentry in Excel overview.