Find possible unanswered chats before they are forgotten
Use a recurring ClickHouse query to surface conversations that may need a human follow-up.
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
Follow-up slips when unanswered conversations are buried in a busy chat history.
- Surface candidate conversations using available response data.
- Make follow-up review a repeatable routine.
- Keep the result grounded in stored messages and timestamps.
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 fields indicate a customer message and a reply, then ask it to list possible unanswered conversations from the chosen period.
- 4Choose a Notis cron schedule and select where run reports should go.
- 5Test with one real period and verify the candidates before acting.
Questions about this workflow
Can it know for certain a chat is unanswered?
Only if the stored data includes enough message and reply information. Treat results as candidates when the schema does not prove that a conversation is unresolved.
Will it send follow-up messages?
No. This workflow returns candidates for review and does not message customers.
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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