Mode connector

Set up the Mode connector in Kaivo: authentication, configuration, the 19 BigQuery tables it syncs, and answers to common questions.

Written By Lauri Raivio

Last updated About 5 hours ago

Kaivo is a fully managed data platform that syncs your Mode data into a Google BigQuery warehouse and keeps it up to date automatically. There is no pipeline to build and no infrastructure to run, so you can spend your time analysing your data from Mode instead of moving it.

What is the Mode connector

Sync your Mode analytics metadata into BigQuery with Kaivo to audit reports, queries, and usage across your workspace.

CategoryTech
StatusGenerally available
AuthenticationAPI key
SetupSelf-service

Getting started with the Mode connector

  1. Sign up for Kaivo and create a workspace.
  2. Connect your Mode account.
  3. Choose which tables to sync.
  4. Wait for the initial sync to finish.
  5. Query your data in BigQuery or your favourite AI or BI tool.

Authenticating Mode

Authenticate with your API Secret.

FieldDescription
API Secret

Your Mode API secret — the private key used as the password for Basic auth, shown only once when the token is created.

Prerequisites

Mode's API is only available to members of a Mode Business Workspace on a paid plan — other plans can't access it.

  1. In Mode, go to Workspace Settings → Features → API Keys and create an API key. Copy the Token (used as the username) and the Secret (used as the password) — the secret is shown only once.
  2. Your Workspace name is the lowercase segment in your workspace URL (app.mode.com/<workspace>).

Need help? Reach our team via the chat in the bottom-right corner.

Configuring the Mode connector

When you set up the connector, you provide:

FieldDescription
API Token

Your Mode API token — the public key used as the username for Basic auth. Create one under Workspace Settings → Features → API Keys.

Workspace

Your Mode workspace name (all lowercase), as it appears in your workspace URL: app.mode.com/.

Tables and columns synced from Mode

Kaivo syncs 19 tables from Mode into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.

How the Mode sync works

After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Mode supports it, each sync pulls only new and changed records so it stays fast; otherwise it refreshes the whole table. Every record keeps its original ID, so you won't get duplicate rows.

Frequently asked questions

How long does the initial sync take for Mode?

It depends on how much history is in your Mode account. Most initial syncs finish within minutes, while large accounts can take a few hours. After that, syncs only fetch new and changed records, so they're much faster.

Can I sync only some tables or columns?

Yes. You pick which tables to sync when you set up the connection and can change the selection later. Tables you don't select are never copied to your warehouse.

What happens when Mode's schema changes?

New fields are never added automatically. You choose which fields to sync, so data you haven't selected (sensitive personal data, for example) never lands in your warehouse. When a new field appears, it becomes available for you to add. What happens to removed or renamed fields depends on a table's sync mode: full-refresh tables always match what's currently in Mode, so dropped fields disappear, while incremental tables keep their existing columns and history, so an old field stays and newly added fields fill in over time.

How do I handle GDPR or data deletion requests?

Your data lives in your own Kaivo-managed BigQuery warehouse, so the most direct option is to delete or anonymise specific records right in BigQuery. If you delete data in Mode instead, full-refresh tables drop it on the next sync, while incremental tables keep it, so you would remove the row in BigQuery or ask us to run a full refresh. To remove everything, delete the Mode connector in Kaivo and all of its synced data is deleted with it.

Common use cases for Mode data

Content inventory

Use reports and queries to document what exists and how it is organised.

Usage audit

Use report_runs and query_runs to find unused or heavy reports.

Access review

Join groups with memberships to review who can access your analytics.

Use Mode data in your AI and BI tools

Once Mode data lands in your Kaivo-managed BigQuery warehouse, you can explore it with AI tools or any BI tool that connects to BigQuery. Here's how the most common destinations work with Mode data.

Claude

Use Kaivo's MCP server to give Claude secure, workspace-scoped access to your data. Setup guide →

Power BI

Microsoft's BI tool with a native BigQuery connector. Supports direct query and scheduled refresh. Setup guide →

Data Studio

Free Google BI tool with native BigQuery support. One-click connection to your Kaivo warehouse; great for SMB teams on Google Workspace. Setup guide →

Tableau

The premium analytics standard, with native BigQuery integration. Setup guide →

Google Sheets

Use Connected Sheets to query BigQuery directly from a spreadsheet, with no SQL. Setup guide →

Excel

Connect via Power Query's BigQuery connector. Setup guide →

Metabase

Open-source BI tool with strong BigQuery support. Setup guide →

See our pricing page for Mode connector pricing and plan details.

  • Adform: Sync Adform to BigQuery.
  • Amplitude: Sync Amplitude to BigQuery.
  • Auth0: Sync Auth0 to BigQuery.
  • Convex: Sync Convex to BigQuery.
  • GitHub: Sync GitHub to BigQuery.
  • GitLab: Sync GitLab to BigQuery.