# Sweep change histories across platforms for a period

> Tier: recipe. Operating recipe: real tool sequence, core rules, known traps.

Change events from every platform that keeps them, merged into one dated timeline.

**Intent.** Everything humans and systems changed, everywhere, in one timeline.

## When to use

- Post-mortems.
- Handover weeks.
- Before/after big performance moves.

## When not to use

- No specific contraindication beyond the preconditions below.

## Sources

Required: any connected source

## Preconditions

- The account is ticked in the dashboard, confirmed via list_accounts.

## Inputs

- `window`: Analysis window. Default: last 30 days.

## Procedure

1. Pull change histories where platforms expose them. — tools: `google_ads_get_change_events`, `meta_get_ad_activity`
2. Merge into one timeline, timezone-aligned.

## Decision rules

- **When** Platforms without change logs (TikTok, Pinterest) are in scope → **conclude** Say the timeline is partial by platform, not complete: absence of a log is not absence of changes.

## Evidence requirements

- Every figure carries its account, metric and window.
- Anything below a readable sample size is reported as unjudged, not as zero.

## Human approval boundary

- The readout changes nothing. Any change it motivates goes through Safe Writes: preview, human confirmation, then apply.

## Failure modes

- Timezone misalignment shuffles cause and effect across midnight: align before reading.

## Output

- **Readout**: The figures, with windows and accounts named.
- **Flags**: What deserves a deeper skill or a human decision.

## Related

- Skill: [campaign-anomaly-investigation](https://www.getmcpads.com/skills/campaign-anomaly-investigation.md)