Projects
Reporting / Data Quality

Know what published, what failed, and what changed.

A reporting tool for teams that publish records to external sites, portals, feeds, or marketplaces and need proof that the live version matches the source of truth.

Validate your publications See the tool
Best fitOperations teams that cannot rely on "sent" as proof that data is live and correct.
InputsSource records, export logs, web pages, API responses, screenshots, or partner feed reports.
OutputValidation dashboard, exception queue, daily digest, and downloadable audit report.
Services used

Custom Software + Data Extraction

Typical build

3 to 7 weeks depending on publication targets

Checks

Presence, freshness, field match, image match, price match, and status accuracy

Result target

Exceptions become visible the same day instead of surfacing through customer complaints

// THE BOTTLENECK

Publication errors are invisible until someone notices.

Many workflows can confirm that data was sent. Fewer can confirm that the right data is live, complete, current, and visible to the people who need it.

Exports do not prove outcomes.

A successful API call or CSV upload can still produce a missing listing, rejected field, delayed update, or silently transformed value.

Manual spot checks do not scale.

Teams open a sample of records and hope the rest are fine. That works until the highest-value record is the one with a bad status or missing price.

Issues lack ownership.

When something is wrong, teams have to figure out whether the source data, feed builder, external portal, or manual update caused it.

// WHAT WE BUILD

A validation loop after publishing.

The tool checks live publications against source records and converts every mismatch into an actionable exception.

  1. Source snapshotCapture the expected state of every record before or after publishing.
  2. Publication checkQuery APIs, inspect pages, parse reports, or read returned feed statuses to verify live state.
  3. Field comparisonCompare required fields and flag missing, stale, transformed, or mismatched values.
  4. Exception queueGroup failures by cause and priority so the team knows what to fix first.
  5. Reporting cadenceSend daily or weekly validation reports with trends, unresolved issues, and audit export links.
// RESULTS

What the tool is designed to improve.

Validation turns publication from a blind push into a measurable operational loop.

Same day

Missing or incorrect publications surface in a digest before they become customer-facing surprises.

Field-level

Teams see exactly which value failed, where it came from, and what channel rejected or changed it.

Trend view

Recurring failure patterns become visible, making source data cleanup and channel fixes easier to prioritize.

Need proof that your data is live?

Book a discovery call. We will map what gets published, where it appears, and which checks would give your team operational confidence.

Book a discovery call hello@autoflowca.com