Data source
Collect Open Exchange Rates data. Deliver reports. Automate AI Insights.
Easily collect OpenExchangeRates data with OWOX Data Marts, store in your data warehouse, automate reporting across major BI Tools and AI Insights (the ones that matter) delivered straight to corporate messengers on a schedule.

The analytics system teams actually use
Marketplace users
175K+
teams running OWOX from the Google Workspace Marketplace
G2 rating
4.9
296 verified reviews on G2
Connector downloads
156K+
open-source connector installs via npm
GitHub stars
231
the platform is open source — star it, fork it, self-host it
Available connectors7
Available connectors
S01 · Why teams pick OWOX
Why collect Open Exchange Rates data into your warehouse with OWOX?
Your Open Exchange Rates data shouldn’t be trapped in a platform you can’t query. OWOX collects it into your warehouse on autopilot — no per-connector fees, no vendor lock-in. The entire platform is open-source on GitHub, so you can self-host it today and never worry about losing access to your own data pipelines.

Collect to your warehouse
No per-connector pricing — connect as many sources as you need, all included

Zero-maintenance syncs
Fully open-source on GitHub — self-host anytime, no vendor lock-in, your data stays yours

Full-funnel joins
Full transparency and control — every query, every schema, every schedule is visible and auditable
How it works

R01 · Collect
Collect all your Open Exchange Rates data with zero engineering
Pull everything your company needs from OpenExchangeRates without touching code or maintaining custom scripts. OWOX Data Marts handle the heavy lifting.
- Your exchange rate data is stored in one place – your own infrastructure. OWOX Data Marts automatically land your data into BigQuery, Snowflake, or Redshift.
- Your OpenExchangeRates data lands on a schedule: clean, complete, and ready to re-use across reports, dashboards, BI tools, and spreadsheets.
- No API maintenance, no broken scripts — just reliable daily syncs

R02 · Report
Build reports with Open Exchange Rates data that everyone trusts
Once your exchange rate data lands in your warehouse, OWOX Data Marts make it instantly reusable across spreadsheets and BI tools.
- Pre-built data marts for multi-currency financial reporting
- Join exchange rates with ad spend, revenue, and CRM data in one query
- Self-serve reporting for finance teams — no analyst tickets needed

R03 · Visualize
Visualize Open Exchange Rates data instantly in your BI tools
With OWOX Data Marts, your exchange rate data becomes instantly available for charts, dashboards, pivots, and spreadsheets.
- Whether you use Google Sheets, Looker Studio, Excel, or Power BI, OWOX delivers clean, scheduled exchange rate data that just works.
- Deliver to Looker Studio, Google Sheets, Power BI, or Excel automatically
- Same numbers everywhere — one source of truth for all stakeholders
S03 · Eight outcomes
Why use OWOX connectors to collect your Open Exchange Rates data?
Eight outcomes you get the moment your data marts go live.
Full picture, one screen
Bring live and historical exchange rates into your warehouse from one governed source — the quiet fix that makes global numbers line up.
Beyond native dashboards
Revenue in many currencies never reconciles until it’s converted consistently; OWOX lands rates alongside your data to do exactly that.
Your questions, your reports
Build reports in a single reporting currency — so regional numbers roll up correctly instead of drifting apart.
Faster decisions, better data
When “the numbers don’t match” across markets, standardized rates in your warehouse are usually the reason they finally do.
Always fresh, always complete
OWOX Data Marts automate exchange-rate collection on a schedule — daily rates, every currency pair you need — with no manual entry.
All sources, one warehouse
Merge rates with Shopify, ad spend, and finance data so every metric is comparable across countries.
Zero manual work
Automate transfer into BigQuery, Snowflake, or Redshift — governed and reusable across every report, saving time and removing errors.
Blended reports
Once rates live in governed Data Marts, anyone can ask in their own AI chat — “what was global revenue in USD last month?” — every number tracing to analyst-written SQL.
What users are saying
Not testimonials. Comment threads.
Real things real customers said — each quote pinned to a specific claim, straight from the quotes database.
“AI, by the nature of the models, will hallucinate. And because of that, you need something which will create guardrails to ensure that there are no hallucinations, that you can trust your data.”
“We had six or seven different channels and no single source of truth — it was almost impossible, a lot of guesswork.”
“We regained time. And time is the one resource that never comes back.”


