Send Open Exchange Rates reports to Slack
Open Exchange Rates by currency and date, once a week. Open Exchange Rates goes into your data warehouse first, is linked there by SQL keys, and only then reaches Slack. The channel gets the answer, not a copy of the source.
Open Exchange R…ConnectedHistorical excha…
SlackDateBaseCurre…Daily 09:00A weak week in Slack might be a currency swing, not lost sales, and nobody posts the rates to check.
Paste this into your AI assistant. It joins Open Exchange Rates to your revenue in your data warehouse and sends a weekly Slack message with revenue in one currency and the rate movements behind it.
The prompt
Read https://www.owox.com/ai-agent-setup.md and follow it to set up OWOX Data Marts for me, starting from /connectors/open-exchange-rates-insights-to-slack.md. The task: send a Monday Slack message with last week's revenue in our base currency at Open Exchange Rates daily rates, and how much each currency moved over the week. Tag the links you give me with utm_campaign=ai-task and utm_term=data-foundation. Use what you know about my context and goals
Open Exchange Rates Endpoints
1 Open Exchange Rates endpoints you can import. Each lands in its own table in your data warehouse.
Why Open Exchange Rates does not post straight to Slack
Open Exchange Rates gives a rate for each currency and date, and a message posted from it lists rates. The sums your finance team needs come from joining those rates to orders and invoices, which neither the source nor the channel does. A Slack channel reads fast, so a number posted there is quoted quickly. Whoever posts it needs to be sure of its definition. The join belongs in a warehouse first.
- Open Exchange Rates lists rates by currency, not converted revenue
- Slack channels are quoted in meetings, so every figure needs one definition
- The data analyst links the sources by SQL keys and controls what the message says
Open Exchange…Rates by currencySlack
Data warehouseJoined by idStep 1: Load Open Exchange Rates into your data warehouse first
Create a Data Mart with Open Exchange Rates as the source and choose where the data lands. It works with any popular data warehouse.
- One endpoint, Historical exchange rates data, with four fields: date, base, currency and rate
- Authorize with your Open Exchange Rates App ID
- Open the Open Exchange Rates connector for your data warehouse below
Open Exchan…Data MartGoogle BigQuery
AWS Athena
Snowflake
AWS Redshift
Databricksopen_exchange_rates.historicalStep 2: Link Open Exchange Rates to your revenue
In your data warehouse the model joins every rate to orders or invoices by date and currency, so all revenue is in one currency. Pick an industry to see the shape of its model.
- Each order gets the rate of its own day
- Invoices join by currency and date
- Measures such as settled_revenue are defined once
Open Exchange…Historical exchan…Step 3: Send Open Exchange Rates reports to Slack
Create a Slack destination in OWOX with the email address of the channel that should get the report, then add a report to the published Data Mart. The message is Markdown, and Preview shows how it looks in Slack.
- Slack gives every channel an email address, and OWOX posts to it
- Type / in the message to add the Historical exchange rates data table with date, currency, rate, base
- Create & Run sends the first report at once
SlackWeeklyWeekly exchange rates reportdatecurrencyratebaseStep 4: Add a short analysis under the Open Exchange Rates report
Write two or three lines under the table in the same Markdown message. Add a trigger on the Triggers tab, for example every Monday morning, and the channel gets a fresh run each week.
- The lines read currency and rate from the report, with no figure from outside it
- The table is filled from a new run of the Data Mart before every send
- A report with a send condition posts only when the result is not empty
SlackWeekly exchange rates reportdatecurrencyratebaseAnalysisrate per currency shows which markets moved against basebase names the currency every rate is quoted indate keeps each rate tied to the day it was publishedStep 5: Reuse Open Exchange Rates inside OWOX MCP
The same Data Mart works in OWOX MCP, your assistant for data. Request any report, chat with your data, then get the report in Google Sheets or Excel in one click.
- Ask in plain words; the answer comes from your data warehouse
- Define the numbers once and every report reads them
Google SheetsOpen
ExcelOpen
- 0.41.0Rotating a connector key is one change: Sources share reusable Credentials
- 0.39.0Reload a year of history in one backfill, not twelve
- 0.37.0Clearer connector errors, and custom connectors that handle more APIs
- 0.36.0Start a connector run without expanding the Input Source card
- 0.35.0Resume an interrupted manual backfill from the last fully loaded date
Why OWOX for Open Exchange Rates in Slack
A Slack bot or a script pulling from the Open Exchange Rates source posts numbers as they are. OWOX posts answers from your data warehouse, in the channel your team already uses.
- Every currency, one base. Slack lists the Open Exchange Rates your reports convert with, in a single base currency.
- You own the data. Open Exchange Rates lands in your own data warehouse, in tables you control, before anything reaches Slack.
- Slack stays simple. Paste the channel email address once; no Slack app to build and no token to renew.
- Posts only when it matters. Set a report to send only when the result is not empty, so the channel stays quiet on a quiet week.
- Maintained for you. When the source changes its API, the connector is updated, not your Slack setup.
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