Open Exchange Rates connector

Set up the Open Exchange Rates connector in Kaivo: authentication, configuration, the 1 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 Open Exchange Rates 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 Open Exchange Rates connector

Sync your Open Exchange Rates currency rates into BigQuery with Kaivo to convert amounts and track foreign exchange rates over time.

Category	Finance & Payments
Authentication	API key
Setup	Self-service

Getting started with the Open Exchange Rates connector

Sign up for Kaivo and create a workspace.
Connect your Open Exchange Rates 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 Open Exchange Rates

Authenticate with your App ID.

Field	Description
App ID	Your Open Exchange Rates App ID. Find it on your account page at openexchangerates.org.

Configuring the Open Exchange Rates connector

When you set up the connector, you provide:

Field	Description
Base Currency	The base currency for exchange rates as a 3-letter code (e.g. USD, EUR). Only modifiable on paid plans.
Start Date	Any data before this date will not be fetched.

Tables and columns synced from Open Exchange Rates

Kaivo syncs 1 table from Open Exchange Rates into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.

open_exchange_rates (176 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`base`	`STRING`	The base currency against which exchange rates are provided.
`disclaimer`	`STRING`	Information about the usage rights or restrictions related to the provided data.
`license`	`STRING`	The type of license under which the exchange rate data is made available.
`rates__aed`	`FLOAT64`	United Arab Emirates Dirham
`rates__afn`	`FLOAT64`	Afghan Afghani
`rates__all`	`FLOAT64`	Albanian Lek
`rates__amd`	`FLOAT64`	Armenian Dram
`rates__ang`	`FLOAT64`	Netherlands Antillean Guilder
`rates__aoa`	`FLOAT64`	Angolan Kwanza
`rates__ars`	`FLOAT64`	Argentine Peso
`rates__aud`	`FLOAT64`	Australian Dollar
`rates__awg`	`FLOAT64`	Aruban Florin
`rates__azn`	`FLOAT64`	Azerbaijani Manat
`rates__bam`	`FLOAT64`	Bosnia-Herzegovina Convertible Mark
`rates__bbd`	`FLOAT64`	Barbadian Dollar
`rates__bdt`	`FLOAT64`	Bangladeshi Taka
`rates__bgn`	`FLOAT64`	Bulgarian Lev
`rates__bhd`	`FLOAT64`	Bahraini Dinar
`rates__bif`	`FLOAT64`	Burundian Franc
`rates__bmd`	`FLOAT64`	Bermudian Dollar
`rates__bnd`	`FLOAT64`	Brunei Dollar
`rates__bob`	`FLOAT64`	Bolivian Boliviano
`rates__brl`	`FLOAT64`	Brazilian Real
`rates__bsd`	`FLOAT64`	Bahamian Dollar
`rates__btc`	`FLOAT64`	Bitcoin
`rates__btn`	`FLOAT64`	Bhutanese Ngultrum
`rates__bwp`	`FLOAT64`	Botswana Pula
`rates__byn`	`FLOAT64`	Belarusian Ruble
`rates__bzd`	`FLOAT64`	Belize Dollar
`rates__cad`	`FLOAT64`	Canadian Dollar
`rates__cdf`	`FLOAT64`	Congolese Franc
`rates__chf`	`FLOAT64`	Swiss Franc
`rates__clf`	`FLOAT64`	Chilean Unit of Account (UF)
`rates__clp`	`FLOAT64`	Chilean Peso
`rates__cnh`	`FLOAT64`	Chinese Yuan (offshore)
`rates__cny`	`FLOAT64`	Chinese Yuan
`rates__cop`	`FLOAT64`	Colombian Peso
`rates__crc`	`FLOAT64`	Costa Rican Colón
`rates__cuc`	`FLOAT64`	Cuban Convertible Peso
`rates__cup`	`FLOAT64`	Cuban Peso
`rates__cve`	`FLOAT64`	Cape Verdean Escudo
`rates__czk`	`FLOAT64`	Czech Koruna
`rates__djf`	`FLOAT64`	Djiboutian Franc
`rates__dkk`	`FLOAT64`	Danish Krone
`rates__dop`	`FLOAT64`	Dominican Peso
`rates__dzd`	`FLOAT64`	Algerian Dinar
`rates__egp`	`FLOAT64`	Egyptian Pound
`rates__ern`	`FLOAT64`	Eritrean Nakfa
`rates__etb`	`FLOAT64`	Ethiopian Birr
`rates__eur`	`FLOAT64`	Euro
`rates__fjd`	`FLOAT64`	Fijian Dollar
`rates__fkp`	`FLOAT64`	Falkland Islands Pound
`rates__gbp`	`FLOAT64`	British Pound Sterling
`rates__gel`	`FLOAT64`	Georgian Lari
`rates__ggp`	`FLOAT64`	Guernsey Pound
`rates__ghs`	`FLOAT64`	Ghanaian Cedi
`rates__gip`	`FLOAT64`	Gibraltar Pound
`rates__gmd`	`FLOAT64`	Gambian Dalasi
`rates__gnf`	`FLOAT64`	Guinean Franc
`rates__gtq`	`FLOAT64`	Guatemalan Quetzal
`rates__gyd`	`FLOAT64`	Guyanese Dollar
`rates__hkd`	`FLOAT64`	Hong Kong Dollar
`rates__hnl`	`FLOAT64`	Honduran Lempira
`rates__hrk`	`FLOAT64`	Croatian Kuna
`rates__htg`	`FLOAT64`	Haitian Gourde
`rates__huf`	`FLOAT64`	Hungarian Forint
`rates__idr`	`FLOAT64`	Indonesian Rupiah
`rates__ils`	`FLOAT64`	Israeli New Sheqel
`rates__imp`	`FLOAT64`	Isle of Man Pound
`rates__inr`	`FLOAT64`	Indian Rupee
`rates__iqd`	`FLOAT64`	Iraqi Dinar
`rates__irr`	`FLOAT64`	Iranian Rial
`rates__isk`	`FLOAT64`	Icelandic Króna
`rates__jep`	`FLOAT64`	Jersey Pound
`rates__jmd`	`FLOAT64`	Jamaican Dollar
`rates__jod`	`FLOAT64`	Jordanian Dinar
`rates__jpy`	`FLOAT64`	Japanese Yen
`rates__kes`	`FLOAT64`	Kenyan Shilling
`rates__kgs`	`FLOAT64`	Kyrgyzstani Som
`rates__khr`	`FLOAT64`	Cambodian Riel
`rates__kmf`	`FLOAT64`	Comorian Franc
`rates__kpw`	`FLOAT64`	North Korean Won
`rates__krw`	`FLOAT64`	South Korean Won
`rates__kwd`	`FLOAT64`	Kuwaiti Dinar
`rates__kyd`	`FLOAT64`	Cayman Islands Dollar
`rates__kzt`	`FLOAT64`	Kazakhstani Tenge
`rates__lak`	`FLOAT64`	Lao Kip
`rates__lbp`	`FLOAT64`	Lebanese Pound
`rates__lkr`	`FLOAT64`	Sri Lankan Rupee
`rates__lrd`	`FLOAT64`	Liberian Dollar
`rates__lsl`	`FLOAT64`	Lesotho Loti
`rates__lyd`	`FLOAT64`	Libyan Dinar
`rates__mad`	`FLOAT64`	Moroccan Dirham
`rates__mdl`	`FLOAT64`	Moldovan Leu
`rates__mga`	`FLOAT64`	Malagasy Ariary
`rates__mkd`	`FLOAT64`	Macedonian Denar
`rates__mmk`	`FLOAT64`	Myanmar Kyat
`rates__mnt`	`FLOAT64`	Mongolian Tugrik
`rates__mop`	`FLOAT64`	Macanese Pataca
`rates__mro`	`FLOAT64`	Mauritanian Ouguiya
`rates__mru`	`FLOAT64`	Mauritanian Ouguiya
`rates__mur`	`FLOAT64`	Mauritian Rupee
`rates__mvr`	`FLOAT64`	Maldivian Rufiyaa
`rates__mwk`	`FLOAT64`	Malawian Kwacha
`rates__mxn`	`FLOAT64`	Mexican Peso
`rates__myr`	`FLOAT64`	Malaysian Ringgit
`rates__mzn`	`FLOAT64`	Mozambican Metical
`rates__nad`	`FLOAT64`	Namibian Dollar
`rates__ngn`	`FLOAT64`	Nigerian Naira
`rates__nio`	`FLOAT64`	Nicaraguan Córdoba
`rates__nok`	`FLOAT64`	Norwegian Krone
`rates__npr`	`FLOAT64`	Nepalese Rupee
`rates__nzd`	`FLOAT64`	New Zealand Dollar
`rates__omr`	`FLOAT64`	Omani Rial
`rates__pab`	`FLOAT64`	Panamanian Balboa
`rates__pen`	`FLOAT64`	Peruvian Nuevo Sol
`rates__pgk`	`FLOAT64`	Papua New Guinean Kina
`rates__php`	`FLOAT64`	Philippine Peso
`rates__pkr`	`FLOAT64`	Pakistani Rupee
`rates__pln`	`FLOAT64`	Polish Zloty
`rates__pyg`	`FLOAT64`	Paraguayan Guarani
`rates__qar`	`FLOAT64`	Qatari Riyal
`rates__ron`	`FLOAT64`	Romanian Leu
`rates__rsd`	`FLOAT64`	Serbian Dinar
`rates__rub`	`FLOAT64`	Russian Ruble
`rates__rwf`	`FLOAT64`	Rwandan Franc
`rates__sar`	`FLOAT64`	Saudi Riyal
`rates__sbd`	`FLOAT64`	Solomon Islands Dollar
`rates__scr`	`FLOAT64`	Seychellois Rupee
`rates__sdg`	`FLOAT64`	Sudanese Pound
`rates__sek`	`FLOAT64`	Swedish Krona
`rates__sgd`	`FLOAT64`	Singapore Dollar
`rates__shp`	`FLOAT64`	Saint Helena Pound
`rates__sll`	`FLOAT64`	Sierra Leonean Leone
`rates__sos`	`FLOAT64`	Somali Shilling
`rates__srd`	`FLOAT64`	Surinamese Dollar
`rates__ssp`	`FLOAT64`	South Sudanese Pound
`rates__std`	`FLOAT64`	São Tomé and Príncipe Dobra
`rates__stn`	`FLOAT64`	São Tomé and Príncipe Dobra
`rates__svc`	`FLOAT64`	Salvadoran Colón
`rates__syp`	`FLOAT64`	Syrian Pound
`rates__szl`	`FLOAT64`	Swazi Lilangeni
`rates__thb`	`FLOAT64`	Thai Baht
`rates__tjs`	`FLOAT64`	Tajikistani Somoni
`rates__tmt`	`FLOAT64`	Turkmenistan Manat
`rates__tnd`	`FLOAT64`	Tunisian Dinar
`rates__top`	`FLOAT64`	Tongan Pa'anga
`rates__try`	`FLOAT64`	Turkish Lira
`rates__ttd`	`FLOAT64`	Trinidad and Tobago Dollar
`rates__twd`	`FLOAT64`	New Taiwan Dollar
`rates__tzs`	`FLOAT64`	Tanzanian Shilling
`rates__uah`	`FLOAT64`	Ukrainian Hryvnia
`rates__ugx`	`FLOAT64`	Ugandan Shilling
`rates__usd`	`FLOAT64`	United States Dollar
`rates__uyu`	`FLOAT64`	Uruguayan Peso
`rates__uzs`	`FLOAT64`	Uzbekistan Som
`rates__ves`	`FLOAT64`	Venezuelan Bolívar
`rates__vnd`	`FLOAT64`	Vietnamese Dong
`rates__vuv`	`FLOAT64`	Vanuatu Vatu
`rates__wst`	`FLOAT64`	Samoan Tala
`rates__xaf`	`FLOAT64`	Central African CFA Franc
`rates__xag`	`FLOAT64`	Silver (ounce)
`rates__xau`	`FLOAT64`	Gold (ounce)
`rates__xcd`	`FLOAT64`	East Caribbean Dollar
`rates__xdr`	`FLOAT64`	Special Drawing Rights (International Monetary Fund)
`rates__xof`	`FLOAT64`	West African CFA Franc
`rates__xpd`	`FLOAT64`	Palladium (ounce)
`rates__xpf`	`FLOAT64`	CFP Franc
`rates__xpt`	`FLOAT64`	Platinum (ounce)
`rates__yer`	`FLOAT64`	Yemeni Rial
`rates__zar`	`FLOAT64`	South African Rand
`rates__zmw`	`FLOAT64`	Zambian Kwacha
`rates__zwl`	`FLOAT64`	Zimbabwean Dollar
`timestamp`	`INT64`	The UNIX timestamp indicating when the exchange rates were last updated.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

How the Open Exchange Rates sync works

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

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

Common use cases for Open Exchange Rates data

Currency conversion

Use rates to convert transactions into a single reporting currency.

Rate history

Track rates by timestamp to see how currency pairs move over time.

Multi-currency reporting

Join rates to your sales or expense data to report consistently across markets.

FX exposure

Analyse rate changes against your currency positions to understand exposure.

Use Open Exchange Rates data in your AI and BI tools

Once Open Exchange Rates 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 Open Exchange Rates 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 Open Exchange Rates 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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