Query Airtable Bases in Natural Language

Ask any question about your Airtable data in English and the agent builds the right filter formula, fetches the records, and returns a clean summary on WhatsApp.

WhatsApp DMquerynatural-languagesearch

Conversation example

How many inspections in our QA base failed this week and which vendors had the most failures?

http_request → Airtable records.list

Building a filter on the Inspections table: Status = 'Failed' AND Date is within the last 7 days...

Inspection failures — last 7 days Total failed: 23 (up from 18 last week, ↑ 28%) Pass rate: 94.2% (below your 96% target) Top vendors by failure count: 1. Bharat Packaging — 8 failures (all packaging integrity) 2. Shree Metal — 6 failures (dimensional tolerance) 3. Lotus Fabrics — 4 failures (color consistency) 4. Other (5 vendors) — 5 failures Failure categories: - Packaging integrity: 11 - Dimensional: 7 - Material quality: 3 - Other: 2 Recommended: schedule a QA review with Bharat Packaging this week — they account for 35% of failures and just onboarded. Want me to draft the email?

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