Start the day with a WhatsApp message volume summary
Have Notis query ClickHouse on a schedule and report how many messages your stored data shows for the selected period.
Trigger
Recurring schedule
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Action
Execute ClickHouse Query
Execute a sql query in clickhouse and return the results. this is the primary action for querying data from clickhouse databases.
Why this helps
Checking chat volume manually adds another recurring task to an already full day.
- Get a recurring message volume count.
- Use a consistent reporting window.
- Avoid manual counting from chat exports.
Setup
Build it in a few focused steps.
- 1Connect 2chat and ClickHouse once in the Notis portal.
- 2Create an automation and give it a clear name.
- 3Tell Notis which ClickHouse table and timestamp field contain WhatsApp messages and what daily count to report.
- 4Choose a Notis cron schedule and select where run reports should go.
- 5Test with one real day and compare the count with the stored records.
Questions about this workflow
Does this include messages that are not stored in ClickHouse?
No. The result covers the records available in the specified ClickHouse data.
Can it split the count by group or sender?
Yes, if those fields exist in your data. Include the desired breakdown in the instruction.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link 2chat to ClickHouse. A trigger fires from one place; an action lands in another.
2chat triggers
ClickHouse actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Execute ClickHouse Query
Execute a sql query in clickhouse and return the results. this is the primary action for querying data from clickhouse databases.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Get Database Schema
Get comprehensive schema overview of an entire database including all tables and optionally their column definitions. essential for ai agents to understand the complete database structure in a single call.
Get Table Schema
Get detailed schema information for a specific table including column definitions, types, keys, and optionally sample data. this is essential for ai agents to understand table structure before constructing queries.
List ClickHouse Databases
List all databases in the clickhouse instance. useful for discovering available databases before querying tables.
List ClickHouse Tables
List tables in clickhouse databases. returns information about tables including their engine, size, and row count.
Connect any two apps with Notis in the middle.
2chat and ClickHouse, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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