Detect data anomalies in your Airtable bases

Airtable bases break quietly: missing fields, duplicate records, broken linked relations. An Orkeste agent scans your bases on a schedule, flags anomalies, proposes fixes, and waits for an ops lead to approve before touching anything.

How the workflow runs

1. Schedule scan: Runs on a schedule across the bases and tables you choose.
2. Detect anomalies: Flags missing required fields, duplicates, broken links, outliers.
3. Propose fixes: Suggests a fix per anomaly: backfill, merge, delete, escalate.
4. Ops lead approves: Lead reviews and approves each proposed fix in a batch view.
5. Apply fixes: Approved fixes are applied with full audit, rejected ones are archived.

Human-in-the-loop: No fix is applied to Airtable data without an ops lead's explicit approval per record.

Works with your stack

• airtable
• slack
• trello

Related workflows

• Sync project status to your Airtable tracker
• Auto-organize incoming Trello cards
• Detect blocked or silently stalled Linear issues

Questions about this workflow

Can it handle very large bases?

Yes. Scans are batched and incremental, so even bases with 100k+ rows stay tractable.

What counts as an anomaly?

You define the rules: required fields, allowed values, link integrity, statistical outliers.

Does it modify schema?

No. Schema changes are out of scope; the agent only proposes data fixes within the existing schema.