Catch unusual error spikes early
A recurring outlier scan can highlight activity that does not fit your usual error pattern.
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
Unexpected changes can hide in a large volume of routine event data.
- Surface unusual counts without scanning raw rows.
- Give outliers a consistent review path.
- Use the same plain-language query goal on a chosen cadence.
Setup
Build it in a few focused steps.
- 1Connect Bugsnag and ClickHouse to Notis once through the portal.
- 2Create a portal automation or tell Notis conversationally what result you want.
- 3Write one prompt asking Notis to query ClickHouse for unusual Bugsnag-related error counts using criteria you specify.
- 4Choose a recurring schedule and a channel for run reports.
- 5Test against real data that includes a known high or unusual count.
Questions about this workflow
Does the workflow decide what is unusual?
The prompt should define the comparison or threshold you want, based on the data available in ClickHouse.
Can it alert me when it finds an outlier?
Notis can report the run in the channel you select. Configure the prompt to summarize when the query results meet your criteria.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Bugsnag to ClickHouse. A trigger fires from one place; an action lands in another.
Bugsnag 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.
Bugsnag and ClickHouse, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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