Query Notion Databases with Natural Language

Ask the agent any question about your Notion database in plain English and it builds the right filter, pulls the records, and returns a clean summary.

WhatsApp DMdatabasequerynatural-language

Conversation example

Which deals in our CRM database are closing this quarter and have an ACV over $20k?

http_request → Notion databases.query

Building a filter on the CRM database: Stage contains 'Closing Q2' AND ACV > 20000...

Found 11 deals matching your filter: 1. Northwind Labs — $48k ACV, stage: Verbal yes, owner: @priya 2. Contoso — $36k ACV, stage: Contract sent, owner: @sam 3. AdventureWorks — $28k ACV, stage: Security review, owner: @priya 4. Fabrikam — $26k ACV, stage: Procurement, owner: @ravi 5. WingtipToys — $24k ACV, stage: Verbal yes, owner: @priya ... +6 more Total pipeline: $318k ACV Weighted (by stage): $204k Owners at risk: - @priya has 5 deals — most loaded - @ravi has 1 — can take overflow Want me to draft nudges for the 3 deals stuck longer than 14 days?

More Notion use cases

Deploy this in minutes

Create a LunoGen agent, connect Notion, and start running this workflow from WhatsApp today.

Back to Notion