Interzoid connector
Set up the Interzoid connector in Kaivo: authentication, configuration, the 4 BigQuery tables it syncs, and answers to common questions.
Interzoid connector pricing, tier and credits on kaivo.io
Kaivo is a fully managed data platform that syncs your Interzoid 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 Interzoid instead of moving it.
What is the Interzoid connector
Section titled “What is the Interzoid connector”Sync your Interzoid data-matching results into BigQuery with Kaivo to deduplicate and standardise names and addresses in your data.
| Category | Tech |
|---|---|
| Authentication | API key |
| Setup | Self-service |
Getting started with the Interzoid connector
Section titled “Getting started with the Interzoid connector”- Sign up for Kaivo and create a workspace.
- Connect your Interzoid account.
- Choose which tables to sync.
- Wait for the initial sync to finish.
- Query your data in BigQuery or your favourite AI or BI tool.
Authenticating Interzoid
Section titled “Authenticating Interzoid”Authenticate with your API License Key.
| Field | Description |
|---|---|
| API License Key | |
| Your Interzoid API license key. Sign up free at interzoid.com to get one (includes trial credits). |
|
Configuring the Interzoid connector
Section titled “Configuring the Interzoid connector”When you set up the connector, you provide:
| Field | Description |
|---|---|
| Company Name | |
| A company or organization name to generate a similarity key for — use the key to find duplicate or similar company names across your data. |
| | Full Name |
A person’s full name to generate a similarity key for — used to find duplicate or similar individual names.
| | Street Address |
A street address to generate a similarity key for — used to find duplicate or similar addresses.
| | Organization Name |
An organization name to standardize into a consistent, cleaned-up form.
|
Tables and columns synced from Interzoid
Section titled “Tables and columns synced from Interzoid”Kaivo syncs 4 tables from Interzoid into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.
Company Name Matching (5 columns)
| Column | Type | Description |
|---|---|---|
_kaivo_id |
STRING |
Primary key that uniquely identifies the row. Auto-generated by Kaivo. |
code |
STRING |
|
sim_key |
STRING |
|
credits |
STRING |
|
_kaivo_extracted_at |
TIMESTAMP |
Timestamp that shows when the row was extracted. Auto-generated by Kaivo. |
Individual Name Matching (5 columns)
| Column | Type | Description |
|---|---|---|
_kaivo_id |
STRING |
Primary key that uniquely identifies the row. Auto-generated by Kaivo. |
code |
STRING |
|
sim_key |
STRING |
|
credits |
STRING |
|
_kaivo_extracted_at |
TIMESTAMP |
Timestamp that shows when the row was extracted. Auto-generated by Kaivo. |
Standardize Company Names (5 columns)
| Column | Type | Description |
|---|---|---|
_kaivo_id |
STRING |
Primary key that uniquely identifies the row. Auto-generated by Kaivo. |
code |
STRING |
|
credits |
STRING |
|
standard |
STRING |
|
_kaivo_extracted_at |
TIMESTAMP |
Timestamp that shows when the row was extracted. Auto-generated by Kaivo. |
Street Address Matching (5 columns)
| Column | Type | Description |
|---|---|---|
_kaivo_id |
STRING |
Primary key that uniquely identifies the row. Auto-generated by Kaivo. |
code |
STRING |
|
sim_key |
STRING |
|
credits |
STRING |
|
_kaivo_extracted_at |
TIMESTAMP |
Timestamp that shows when the row was extracted. Auto-generated by Kaivo. |
How the Interzoid sync works
Section titled “How the Interzoid sync works”After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Interzoid 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
Section titled “Frequently asked questions”How long does the initial sync take for Interzoid?
Section titled “How long does the initial sync take for Interzoid?”It depends on how much history is in your Interzoid 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?
Section titled “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 Interzoid’s schema changes?
Section titled “What happens when Interzoid’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 Interzoid, 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?
Section titled “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 Interzoid 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 Interzoid connector in Kaivo and all of its synced data is deleted with it.
Common use cases for Interzoid data
Section titled “Common use cases for Interzoid data”Deduplication
Section titled “Deduplication”Use the SimKey from name and address matching to group likely duplicate records.
Company standardisation
Section titled “Company standardisation”Use Standardize Company Names to normalise company names before reporting.
Address cleanup
Section titled “Address cleanup”Apply Street Address Matching to reconcile address variants.
Data quality
Section titled “Data quality”Track match results to measure and improve the quality of your records.
Use Interzoid data in your AI and BI tools
Section titled “Use Interzoid data in your AI and BI tools”Once Interzoid 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 Interzoid data.
Claude
Section titled “Claude”Use Kaivo’s MCP server to give Claude secure, workspace-scoped access to your data. Setup guide →
Power BI
Section titled “Power BI”Microsoft’s BI tool with a native BigQuery connector. Supports direct query and scheduled refresh. Setup guide →
Data Studio
Section titled “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
Section titled “Tableau”The premium analytics standard, with native BigQuery integration. Setup guide →
Google Sheets
Section titled “Google Sheets”Use Connected Sheets to query BigQuery directly from a spreadsheet, with no SQL. Setup guide →
Connect via Power Query’s BigQuery connector. Setup guide →
Metabase
Section titled “Metabase”Open-source BI tool with strong BigQuery support. Setup guide →
See our pricing page for Interzoid connector pricing and plan details.