Financial Modelling connector

Set up the Financial Modelling connector in Kaivo: authentication, configuration, the 17 BigQuery tables it syncs, and answers to common questions.

Written By Lauri Raivio

Last updated 16 days ago

Kaivo is a fully managed data platform that syncs your Financial Modelling 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 Financial Modelling connector

Sync your Financial Modelling market data, company profiles, and prices into BigQuery with Kaivo to screen stocks and analyse fundamentals.

Category	Finance & Payments
Authentication	API key
Setup	Self-service

Getting started with the Financial Modelling connector

Sign up for Kaivo and create a workspace.
Connect your Financial Modelling 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 Financial Modelling

Authenticate with your API Key.

Field	Description
API Key	Your Financial Modeling Prep API key. Sign up at financialmodelingprep.com and find your key in the dashboard.

Configuring the Financial Modelling connector

When you set up the connector, you provide:

Field	Description
Exchange	The stock exchange whose symbols drive the per-symbol streams (profiles, prices, historical data). E.g. NASDAQ, NYSE, LSE, HKSE.
Market Cap More Than	Stock screener filter: only include stocks with a market cap above this value (in USD). Leave empty for no lower bound.
Market Cap Lower Than	Stock screener filter: only include stocks with a market cap below this value (in USD). Leave empty for no upper bound.
Time Frame	Time interval for historical intraday price data.
Start Date	Any data before this date will not be fetched.

Tables and columns synced from Financial Modelling

Kaivo syncs 17 tables from Financial Modelling into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.

all_fx_prices (10 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`ask`	`STRING`
`bid`	`STRING`
`changes`	`FLOAT64`
`date`	`STRING`
`high`	`STRING`
`low`	`STRING`
`open`	`STRING`
`ticker`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

all_realtime_stock_prices (13 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`ask_price`	`FLOAT64`
`ask_size`	`FLOAT64`
`bid_price`	`FLOAT64`
`bid_size`	`FLOAT64`
`fmp_last`	`FLOAT64`
`last_sale_price`	`FLOAT64`
`last_sale_size`	`FLOAT64`
`last_sale_time`	`FLOAT64`
`last_updated`	`FLOAT64`
`symbol`	`STRING`
`volume`	`FLOAT64`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

company_profile (38 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`description`	`STRING`
`address`	`STRING`
`beta`	`FLOAT64`
`ceo`	`STRING`
`changes`	`FLOAT64`
`cik`	`STRING`
`city`	`STRING`
`company_name`	`STRING`
`country`	`STRING`
`currency`	`STRING`
`cusip`	`STRING`
`dcf`	`FLOAT64`
`dcf_diff`	`FLOAT64`
`default_image`	`BOOL`
`exchange`	`STRING`
`exchange_short_name`	`STRING`
`full_time_employees`	`STRING`
`image`	`STRING`
`industry`	`STRING`
`ipo_date`	`STRING`
`is_actively_trading`	`BOOL`
`is_adr`	`BOOL`
`is_etf`	`BOOL`
`is_fund`	`BOOL`
`isin`	`STRING`
`last_div`	`FLOAT64`
`mkt_cap`	`FLOAT64`
`phone`	`STRING`
`price`	`FLOAT64`
`range`	`STRING`
`sector`	`STRING`
`state`	`STRING`
`symbol`	`STRING`
`vol_avg`	`FLOAT64`
`website`	`STRING`
`zip`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

cryptocurrencies_list (7 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`currency`	`STRING`
`exchange_short_name`	`STRING`
`name`	`STRING`
`stock_exchange`	`STRING`
`symbol`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

delisted_companies (7 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`company_name`	`STRING`
`delisted_date`	`STRING`
`exchange`	`STRING`
`ipo_date`	`STRING`
`symbol`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

etfs (8 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`type`	`STRING`
`exchange`	`STRING`
`exchange_short_name`	`STRING`
`name`	`STRING`
`price`	`FLOAT64`
`symbol`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

exchange_prices (14 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`_10_y`	`FLOAT64`
`_1_d`	`FLOAT64`
`_1_m`	`FLOAT64`
`_1_y`	`FLOAT64`
`_3_m`	`FLOAT64`
`_3_y`	`FLOAT64`
`_5_d`	`FLOAT64`
`_5_y`	`FLOAT64`
`_6_m`	`FLOAT64`
`max`	`FLOAT64`
`symbol`	`STRING`
`ytd`	`FLOAT64`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

forex_list (7 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`currency`	`STRING`
`exchange_short_name`	`STRING`
`name`	`STRING`
`stock_exchange`	`STRING`
`symbol`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

historical_market_cap (5 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`date`	`STRING`
`market_cap`	`FLOAT64`
`symbol`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

stock_available_indexes (7 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`currency`	`STRING`
`exchange_short_name`	`STRING`
`name`	`STRING`
`stock_exchange`	`STRING`
`symbol`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

stock_available_traded (8 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`type`	`STRING`
`exchange`	`STRING`
`exchange_short_name`	`STRING`
`name`	`STRING`
`price`	`FLOAT64`
`symbol`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

stock_cik_list (4 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`cik`	`STRING`
`name`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

stock_euronext_symbols (7 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`currency`	`STRING`
`exchange_short_name`	`STRING`
`name`	`STRING`
`stock_exchange`	`STRING`
`symbol`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

stock_exchange_symbols (24 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`avg_volume`	`FLOAT64`
`change`	`FLOAT64`
`changes_percentage`	`FLOAT64`
`day_high`	`FLOAT64`
`day_low`	`FLOAT64`
`earnings_announcement`	`STRING`
`eps`	`FLOAT64`
`exchange`	`STRING`
`market_cap`	`FLOAT64`
`name`	`STRING`
`open`	`FLOAT64`
`pe`	`FLOAT64`
`previous_close`	`FLOAT64`
`price`	`FLOAT64`
`price_avg200`	`FLOAT64`
`price_avg50`	`FLOAT64`
`shares_outstanding`	`FLOAT64`
`symbol`	`STRING`
`timestamp`	`FLOAT64`
`volume`	`FLOAT64`
`year_high`	`FLOAT64`
`year_low`	`FLOAT64`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

stock_historical_price (8 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`close`	`FLOAT64`
`date`	`STRING`
`high`	`FLOAT64`
`low`	`FLOAT64`
`open`	`FLOAT64`
`volume`	`FLOAT64`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

stock_screener (17 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`beta`	`FLOAT64`
`company_name`	`STRING`
`country`	`STRING`
`exchange`	`STRING`
`exchange_short_name`	`STRING`
`industry`	`STRING`
`is_actively_trading`	`BOOL`
`is_etf`	`BOOL`
`is_fund`	`BOOL`
`last_annual_dividend`	`FLOAT64`
`market_cap`	`FLOAT64`
`price`	`FLOAT64`
`sector`	`STRING`
`symbol`	`STRING`
`volume`	`FLOAT64`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

stocks (8 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`type`	`STRING`
`exchange`	`STRING`
`exchange_short_name`	`STRING`
`name`	`STRING`
`price`	`FLOAT64`
`symbol`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

How the Financial Modelling sync works

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

It depends on how much history is in your Financial Modelling 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 Financial Modelling'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 Financial Modelling, 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 Financial Modelling 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 Financial Modelling connector in Kaivo and all of its synced data is deleted with it.

Common use cases for Financial Modelling data

Stock screening

Use stock_screener by industry, sector, and market cap to build and track watchlists.

Company research

Join company_profile with historical_market_cap to study companies over time.

Price tracking

Use all_realtime_stock_prices and exchange_prices to monitor prices across instruments.

Market coverage

Report on stocks, etfs, and indexes to see the full tradable universe.

Use Financial Modelling data in your AI and BI tools

Once Financial Modelling 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 Financial Modelling 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 Financial Modelling 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.
FreshBooks: Sync FreshBooks to BigQuery.
PayPal Enterprise Payments: Sync PayPal Enterprise Payments to BigQuery.

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