StockData connector

Set up the StockData connector in Kaivo: authentication, configuration, the 4 BigQuery tables it syncs, and answers to common questions.

Written By Lauri Raivio

Last updated About 2 hours ago

Kaivo is a fully managed data platform that syncs your StockData 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 payment and finance data instead of moving it.

What is the StockData connector

Sync your StockData prices and news into BigQuery with Kaivo to analyse market history and monitor coverage by symbol and industry.

Category	Finance & Payments
Status	Generally available
Authentication	API key
Setup	Self-service

Getting started with the StockData connector

Sign up for Kaivo and create a workspace.
Connect your StockData 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 StockData

Authenticate with your API Key.

Field	Description
API Key	Your StockData.org API token. Register for a free account at stockdata.org and copy the token from your dashboard.

Configuring the StockData connector

When you set up the connector, you provide:

Field	Description
Symbols	Stock ticker symbols to fetch news for. E.g. TSLA, AMZN, MSFT. Leave empty to fetch news across all symbols.
Industries	Industries to filter news by. E.g. Technology, Healthcare, Energy.
Filter Entities	When enabled, each article returns only the entities matching your requested symbols or industries, instead of every entity mentioned.
Start Date	Any data before this date will not be fetched.

Tables and columns synced from StockData

Kaivo syncs 4 tables from StockData into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.

How the StockData sync works

After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where StockData 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 StockData?

It depends on how much history is in your StockData 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 StockData'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 StockData, 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.

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 StockData 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 StockData connector in Kaivo and all of its synced data is deleted with it.

Common use cases for StockData data

Price history

Use eod_data to chart open, high, low, and close prices over time.

Intraday analysis

Use intraday_unadjusted_data to study price moves within the day.

News monitoring

Use news_feeds_per_symbols to track coverage for the stocks you follow.

Industry news

Use news_feeds_per_industry to see what is driving each sector.

Use StockData data in your AI and BI tools

Once StockData 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 StockData 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 StockData connector pricing and plan details.

Chargebee: Sync Chargebee to BigQuery.
ChartMogul: Sync ChartMogul to BigQuery.
Fennoa: Sync Fennoa to BigQuery.
Fortnox: Sync Fortnox to BigQuery.
PayPal Enterprise Payments: Sync PayPal Enterprise Payments to BigQuery.
Harvest: Sync Harvest to BigQuery.