The Scenario
You run email verification for fifteen clients. Every verification job runs through one Listclean account. At the end of the month, the agency invoices each client based on credits consumed — and every month, someone from finance sends a message asking for a breakdown by client job. You know it's in Listclean. Getting it out and into an Excel workbook in a form that finance can actually use is the part that eats an hour every billing cycle.
The bad version:
- Log into Listclean, navigate to the job history, and start reading job names, email counts, and credit costs one row at a time.
- Open an Excel workbook and start typing — job name in column A, clean count in column B, dirty in C, unknown in D, credits in E, one row per job.
- Realize job number eight has a name that doesn't match any client, go back to Listclean, scroll through to find the date, and cross-reference with your own internal notes.
Fifteen jobs, five columns each, once a month. It's not hard. It's just entirely manual, and nothing about it requires a human to do it.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Excel workbook that reads your data and talks to Listclean's API. You describe the report you need, and it pulls the job history and builds the table.
Pull all Listclean verification jobs from the last 90 days and create a summary table in my Excel workbook with job name, date, total emails, clean rate, and credits spent — one row per job.
SheetXAI calls the Listclean lists endpoint, filters to the requested date range, and builds the table in the current worksheet — one row per job, columns matching what you specified.
What You Get
- One row per Listclean verification job in the requested period.
- Columns: job name, date, total emails submitted, clean rate, credits spent.
- Jobs ordered by date so the most recent work appears at the top.
- Ready to share with finance or filter by client name if your job naming convention includes a client prefix.
What If the Data Is Not Quite Ready
You want all jobs, not just the last 90 days
Retrieve all lists from my Listclean account and write each list's name, total emails, clean count, dirty count, unknown count, and credit cost into a new worksheet called 'Verification History.'
You want the clean rate as a percentage, not a raw count
Retrieve all Listclean jobs and write job name, date, total emails, and clean rate as a percentage (clean ÷ total) into columns A through D of a new worksheet called 'Monthly Summary.'
Jobs from multiple team members are in the same account — you want them grouped
Pull all Listclean jobs and group them by the client name prefix (the part of the job name before the underscore), then write a summary row per client showing total emails and total credits consumed.
Full audit with a grand total row at the bottom
Retrieve all Listclean verification jobs, write the full history table into a worksheet called 'Verification History,' and add a grand total row at the bottom summing total emails, clean count, dirty count, unknown count, and credits across all jobs.
The pattern: instead of reading the Listclean UI row by row and rebuilding the table manually, you describe the report once and SheetXAI builds it.
Try It
Get the 7-day free trial of SheetXAI and open any Excel workbook — even a blank one — then ask it to pull your Listclean job history and build a summary table for billing review. For related tasks, see importing your full verification log for compliance or tracking CSV upload progress in real time, or return to the Listclean integration overview.