The Scenario
It's Thursday afternoon and you've got a 5,000-ASIN batch job that finished running overnight. Your job is to figure out how many of those requests came back clean before you hand the dataset off to the pricing team tomorrow morning. You open the ASIN Data API dashboard and immediately realize: there's no good way to see the breakdown at a glance. You'd have to click into the collection, scroll through paginated request entries, and manually note which ones are showing "failed" or "pending" — while keeping a tally somewhere.
The bad version:
- Open the collection in the ASIN Data API dashboard, scroll through pages of requests, and manually copy ASIN numbers and status values into a sheet row by row.
- When you hit a "failed" entry, look up the error message in a separate detail view, copy it separately, and paste it into the right column.
- Repeat across 5,000 rows until your tally is complete, knowing that if the collection updates mid-audit you'll have to start over.
That's not analysis. That's data entry. And you're supposed to be handing this to pricing tomorrow — not spending the next four hours clicking through a paginated dashboard.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads the data already in your sheet, understands what you're looking at, and through its built-in ASIN Data API integration it can pull collection requests directly into your sheet without you touching the dashboard.
Here's the prompt for this task:
Fetch all requests in ASIN Data API collection [ID] and write the ASIN, request status, and any error message into this sheet starting at row 2, one row per request.
What You Get
- Column A: ASIN identifier for each request in the collection
- Column B: Current status — "complete," "pending," or "failed"
- Column C: Error message text for any failed request, blank for successful ones
- Every request in the collection written in, with nothing skipped and no pagination to manage manually
What If the Data Is Not Quite Ready
The collection ID is stored in a cell, not hardcoded
Read the collection ID from cell B1. Fetch all requests from that ASIN Data API collection and write ASIN, status, and error message into columns A, B, and C starting at row 2.
You want failed requests filtered to the top
Fetch all requests from ASIN Data API collection [ID]. Write results into columns A, B, C starting at row 2 — ASIN, status, error message. Then sort the sheet so rows where column B is "failed" appear first.
You want a summary alongside the raw data
Pull all requests from ASIN Data API collection [ID] into columns A (ASIN), B (status), C (error) starting at row 2. Then write a summary in column E: total requests, total complete, total pending, total failed — one label and count per row.
Full cleanup and audit in one shot
Read column A for any ASINs already in the sheet. Pull all requests from ASIN Data API collection [ID]. For rows in the sheet that don't match any request in the collection, mark column D "not in collection." For new requests not yet in the sheet, append them. For existing rows, update column B with the current status and column C with the error message. Write a count of new, updated, and unmatched rows in column F1:F3.
The pattern: one prompt handles the pull, the reconciliation, and the annotation — you don't have to stage those as three separate passes.
Try It
Get the 7-day free trial of SheetXAI and open the Google Sheet where you track your ASIN batch jobs, then ask it to pull the current request statuses from your collection. For destination auditing, see Export All ASIN Data API Destinations to a Google Sheet — and the full ASIN Data API overview covers all four ways to connect.