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Connect Ai ml api to ClickHouse

When something happens in Ai ml api, Notis takes the next step in ClickHouse. Describe what you want in plain English, or start from one of the examples below.

When this happens · Trigger

Do this · Action

Examples

Ways Notis can move work from Ai ml api to ClickHouse

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Investigate AI API Usage Spikes in ClickHouse

Start an analysis when an AI workflow flags unusual API usage, then query ClickHouse for the records needed to explain the spike.

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Keep an AI Workflow's ClickHouse Database Inventory Current

On a recurring schedule, list the ClickHouse databases available to an AI workflow so its run report reflects the current instance inventory.

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Fetch ClickHouse Database Context for an AI Run

Start from a webhook and retrieve a ClickHouse database schema overview to give an AI workflow structural context before analysis.

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Schedule a ClickHouse Table Catalog for AI Analysis

Run a recurring ClickHouse table listing and send the available table details to a Notis report channel for review.

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Retrieve a ClickHouse Table Schema on Demand

Use a webhook to request detailed schema information for a specific ClickHouse table when an AI workflow needs to understand its columns and keys.

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Send Scheduled ClickHouse Metrics to an AI Summary

Run a recurring SQL query in ClickHouse and summarize its returned results in a Notis run report for founder review.

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Analyze AI Processed Content Against ClickHouse Data

After an external AI workflow processes content, a webhook can start a ClickHouse query to retrieve related records for context or validation.

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Review ClickHouse Data Quality Samples on a Schedule

Run a scheduled SQL check against ClickHouse and have Notis summarize the returned sample or exception counts for review.

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Discover ClickHouse Databases Before an AI Query

When an AI workflow needs to locate a data source, start a webhook run that lists ClickHouse databases and reports the available names.

Supported Triggers and Actions

Notis builds workflows that link Ai ml api to ClickHouse. A trigger fires from one place; an action lands in another.

Ai ml api triggers

ClickHouse actions

Recurring trigger

Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.

TriggerScheduled

Execute ClickHouse Query

Runs a database query and returns the results.

ActionInstant

Webhook trigger

Notis starts this workflow when an external tool or custom backend sends an HTTP request.

TriggerInstant

Get Database Schema

Retrieves an overview of a database's schema and tables.

ActionInstant

Get Table Schema

Gets the schema and column details for a table.

ActionInstant

Get ClickHouse Play Interface

Returns the ClickHouse Play interface for writing queries and viewing results.

ActionInstant

List ClickHouse Databases

Lists the databases in an instance.

ActionInstant

List ClickHouse Tables

Lists tables in databases with basic details.

ActionInstant
Trigger Types

Four ways to start an automation.

A trigger is the event that kicks a workflow off. Notis supports four kinds: an event in a connected app, an inbound webhook, a recurring schedule, and soon, your own database.

Integration triggers

Fire when something happens inside a connected app. New Notion page, Stripe charge, Linear issue: any of 1,000+ apps can start a workflow.

New Notion pageStripe chargeCalendar event

Webhook triggers

A unique URL per workflow. Anything that can send an HTTP POST can start an automation, including no-code tools that speak webhooks.

Any HTTP POSTCustom backendIoT event
Works with
ZapierPipedream
Most used

Recurring triggers

Cron-style schedules run a workflow on the clock. Daily standups, hourly syncs, business-hours-only digests: the workhorse of Notis.

Daily · 8:00HourlyWeekdays only
Coming soon

Database triggers

Watch a row, query, or threshold in your own database and fire the moment the data changes. Row inserted, value crosses a limit, query starts matching.

Row insertedValue > limitQuery match
Why AI automation

Classic automation breaks. AI adapts.

Same triggers and actions, smarter middle. AI handles the fuzziness that breaks traditional Zapier-style workflows the moment a field gets renamed.

Classic automationAI automation
Cost
$ · pay per run
$$ · AI models per run
Reliability
Breaks on schema change
Adapts to format changes
Setup
Click 8 dropdowns
Describe it in English
Handles fuzzy
Hard-coded fields only
Reads intent, summarises
Human in loop
Bolted on
Built in · approval inbox
Maintenance
You own every break
Self-heals · we own it
Ease of use

Describe it. Notis builds it.

Skip the visual builder. Tell Notis what you want, in plain English. It writes the workflow, you review and deploy.

Notis

You · in the Notis Builder

NEW

“When a row gets added to the Q4 OKRs Notion database and the status is Blocked, send a Telegram message to the owner with a summary of what's blocking, and ping me if there's no reply within 24 hours.”

Notis built this automation:

TriggerRow added to "Q4 OKRs"
Condition✦Status = "Blocked"
AI step✦Summarise the blocker in plain English
ActionDM the row owner with summary
Timeout✦No reply in 24h → ping you
Observability

Watch every run.

Notis Desktop is Mission Control for your AI automations. See every run, replay, edit, or rewind. Set approval gates so Notis pauses before destructive actions.

  • Full run history with inputs, outputs and traces
  • Replay any run with edited inputs
  • Approval inbox, confirm via chat in one tap
  • Audit logs for compliance teams

Automations

Inbox

All12Manager5Telegram1Messages0Whatsapp2Email4Slack8

Migrate background jobs to a durable queue You can cancel it through Stripe

3 days

Notis v3 release update This one’s v3: Notis Manager (desktop app with …

8 days

Add multi-tenant RBAC User initiates a voice call

13 days

Draft pricing v (tiers, limits, overages) and sanity-check margins

2 weeks

Verify analytics events for new features That’s a really interesting automat…

1 month

Everything in the box.

Whatever starts the workflow, the platform underneath is the same: a thinking brain, full visibility, and you in control.

AI in the middle

Every step can include an LLM call: summarise, classify, extract, rewrite.

Full observability

Every run, every step, every input, all replay-able from Mission Control.

Human in the loop

Pause for approval. Notis pings you in chat with one-tap approve.

Self-healing

When an API changes shape, Notis adapts the parser. Less midnight fire-fighting.

Related pairs

More ways to connect Ai ml api and ClickHouse

Connect any two apps with Notis in the middle.

Ai ml api and ClickHouse, or any other combination from 1,000+ integrations.

When this happens · Trigger

Do this · Action

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