Call-Tracking Vendor Overnight Attribution Drift Audit — AI Agent Catches 75% Conversion Count Change
Catch silent upstream restatements the moment they land, with proof that distinguishes "the numbers changed" from "reality changed."
What was getting in the way.
A call-tracking vendor changed its default attribution rule at month-end. Because the nightly data sync rebuilt full history in place every night, every historical day was quietly recounted — attributed conversions moved roughly three-quarters, clicks were byte-identical. A daily-series chart can never show a restatement like this; it just redraws with the new numbers. Without a time-travel diff, the change goes unnoticed until downstream numbers stop matching.
Context
Standing nightly check across any AI agent deployment that depends on vendor-sourced attribution data.
How the work runs.
- 01
Trigger
a nightly sync finishes; the agent runs a scheduled integrity check.
- 02
Take a point-in-time snapshot
capture a warehouse snapshot of the attribution table on a closed window before any sync runs.
- 03
Diff against the pre-change snapshot
compare the live table against the retained snapshot over the same closed historical window — same days, two readings.
- 04
Isolate what moved
report per-day deltas on each metric; distinguish restated columns (attributed conversions) from stable ones (click counts) to prove the change was upstream, not in-house.
- 05
Document the two technical gotchas
a single query cannot reference the same table both with and without the snapshot clause; tables created inside the retention window simply error. Both baked into the standing procedure.
- 06
Outcome
a verified restatement report filed before anyone acts on the new numbers downstream.
Evidence from the workflow.
Each system has a role.
Intake
Call-tracking vendor API / sync
Record of truth
Data warehouse (snapshot-capable)
Action
Scheduled integrity-check job
Signal (alert)
Team chat
Why this is Coworker.
Takes assignments and reports back. You hand it work, it prepares and returns a result.
- 01
Read-only against the vendor and the warehouse; the snapshot is retained for exactly the comparison window needed. No downstream numbers are allowed to publish from a sync that failed the integrity check until a human has reviewed the diff.
Impact / Outcomes
Caught a vendor's end-of-month attribution-default change the morning after it landed — attributed conversions moved roughly three-quarters while clicks stayed byte-identical.
Proved the change was upstream, not an in-house pipeline bug, with a point-in-time snapshot diff rather than a daily-series chart.
Standing procedure now treats any truncate-and-reload sync as untrustworthy for restatement detection — only time-travel diffs qualify.
Find where a workflow like this fits.
Start with the systems, work, constraints, and authority already present in your operation.