Query Airtable bases in natural language, add records from chat, and get daily reports on WhatsApp
Airtable is the spreadsheet-database hybrid that powers operations for over 450,000 organizations. The LunoGen Airtable integration connects your AI agent to the Airtable REST API and Webhooks API so it can read and write records across any base, resolve linked records, compute rollups, handle field types properly, and react to automation triggers — bridged to WhatsApp for everyday work.
Airtable is the easiest way for non-engineers to build an internal tool, but every operations team runs into the same problem: updating Airtable on mobile is painful, querying it from a meeting is slow, and exporting a view to send to a vendor is four clicks too many. An AI agent makes Airtable conversational: 'add a new vendor with these details', 'show me this week's inspections that failed', 'send me a CSV of all April invoices'. Ops teams keep Airtable as the source of truth and WhatsApp as the remote.
Go to airtable.com/create/tokens and click Create new token. Add scopes data.records:read, data.records:write, schema.bases:read, and webhook:manage.
In the same token page, add the workspaces or specific bases you want the agent to access. Copy the token value after creation — it is only shown once.
Open LunoGen → Credentials → New → Airtable. Paste the personal access token. LunoGen will list every base and table the token has access to.
Choose a default base and table for new records (for example 'Ops' → 'Inbox'). You can override per message with a short tag like [#CRM].
For event-driven workflows, use the Airtable Webhooks API to register your LunoGen webhook URL on the tables you care about. Common triggers: record created, record updated, view changed.
Describe what you want to log in plain language and the agent creates an Airtable record with the right field types, linked records, and formulas — no form filling required.
Add a new vendor in the Suppliers base: Bharat Packaging, contact Rajeev at rajeev@bharat.in, based in Pune, category packaging, rating tentative, invited to our preferred vendor program
Creating the vendor record in Suppliers → Vendors...
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.
How many inspections in our QA base failed this week and which vendors had the most failures?
Building a filter on the Inspections table: Status = 'Failed' AND Date is within the last 7 days...
Point the agent at any Airtable view and it will deliver a formatted summary every morning with counts, grouped totals, and notable changes since yesterday.
Pulling the 'Needs Attention' view from the Ops base...
Airtable Automations fire a webhook, the agent reads the record, runs logic, and posts back to WhatsApp with the right action — like a smart router between Airtable and your team.
Damage report from Airtable. Pulling the record details...
Ask the agent to compute rollups, averages, or cross-table lookups from your Airtable data without setting up a formula field. Results come back as a WhatsApp message.
In the Orders base, what's our average order value this month by region, and how does it compare to last month?
Computing the rollup across Orders → grouping by Region for April vs March...
Ask for a CSV of any view and the agent exports it, attaches it to a WhatsApp message, and keeps a copy in LunoGen storage for your records.
Export the 'Q1 Vendor Payouts' view from the Finance base as CSV and send it to me on WhatsApp
Fetching records from the Q1 Vendor Payouts view...
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Spin up an AI agent in under 2 minutes, plug in your Airtable credentials, and start running your workflows from WhatsApp.