Snowflake

Also an agent tool

data-analytics

Query a Snowflake warehouse directly — scheduled extracts, reverse-ETL and alerting on top of the data your analysts already model.

3 actions · 1 triggers

The Snowflake integration lets you connect Snowflake to your automations with 3 actions and 1 triggers — and every action is also a tool an AI agent can call. Examples: Run Query, List Recent Rows, Find By Key. No blank-canvas wiring — connect it and use it in your workflows.

Every action below is also a tool an AI agent can call — the same pack powers your workflows and your agents.

Triggers 1

Events in Snowflake that can start a workflow.

webhook

New Row (polling)

Fires for each row added since the last check. Baselines on enable, so existing history does not fire. Point `table` and `cursor_column` at your own table in the trigger's settings.

Actions 3

What Zervanor can do in Snowflake.

Run Query

Run a saved SELECT and return its rows.

List Recent Rows

Read the newest rows, newest first.

Find By Key

Look one record up by its key — the read half of a duplicate check.

Automations using Snowflake

Build your own automation with Snowflake in the visual builder.

Frequently asked questions

What can I automate with Snowflake?

3 actions are available — for example: Run Query, List Recent Rows, Find By Key.

Which Snowflake events can start a workflow?

1 triggers — for example: New Row (polling).

Can Snowflake be used as an AI agent tool?

Yes. Every Snowflake action automatically becomes a tool an AI agent can call — the same pack powers both your workflows and your agents.

How is the Snowflake integration modelled?

Snowflake is modelled as a versioned connector pack, and the steps that need reasoning fall to first-party agents hosted in the same runtime as the workflows.