Relevance AI
Relevance AI
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Keboola integration

Self-Service Data Management Platform.

What your agents can do with Keboola

6 pre-built Keboola tool steps, ready to drop into any agent. Anything they do not cover, an agent can reach with an authenticated API call.

Actions (6)

Update Table Name

Update the name of a table.

Update Bucket

Updates a bucket with a new display name in Keboola.

Retrieve Buckets

Lists all buckets in your Keboola project.

List Tables In Bucket

Lists all tables in a specified bucket.

Get Table Detail

Get detailed information about a specific table.

Get Bucket Detail

Get detailed information about a specific bucket in Keboola.

Set up Keboola in Relevance AI

Do this once. Every agent in your workspace can then use the connection.

1

Create a Relevance AI account

Sign in, or create a free account. You do not need to be a developer to set this up.

2

Connect your Keboola account

In Relevance AI, open Integrations and add Keboola, then paste your API Token and Stack Endpoint. You will find it in your Keboola account settings.

3

Use Keboola in an agent

Create a tool, add a Keboola tool step, and connect it to an agent. The agent fills in the step's inputs each time it runs.

Put Keboola to work in your agents

Connect Keboola alongside 1,800+ other integrations and let your agents run the busywork.