Time Series

Exchange rates across a date range, optionally downsampled by week or month.

GET /v2/rates

curl "https://api.currency.uwuapps.org/v2/rates?from=2026-01-01&quotes=USD"

Query parameters

Param	Type	Description
`from`	string	Start date, `YYYY-MM-DD`.
`to`	string	End date. Omit to default to today.
`quotes`	string	Comma-separated target currencies to include.
`group`	`week` \| `month`	Downsample the series to reduce payload size on long ranges.
`base`	string	Change the base currency (default `EUR`).

Bounding the end date

curl "https://api.currency.uwuapps.org/v2/rates?from=2026-01-01&to=2026-06-01&quotes=USD"

Downsampling a long range

curl "https://api.currency.uwuapps.org/v2/rates?from=2026-01-01&group=month"

Try it

Response shape

A time-series call returns a flat array, with one row per date/currency pair rather than rows grouped by date:

[
  {"date":"2026-07-01","base":"EUR","quote":"USD","rate":1.161},
  {"date":"2026-07-01","base":"EUR","quote":"GBP","rate":0.866},
  {"date":"2026-07-02","base":"EUR","quote":"USD","rate":1.159},
  {"date":"2026-07-02","base":"EUR","quote":"GBP","rate":0.867}
]

See Charting Historical Data for how to group these rows into per-currency series for a chart or a pandas DataFrame.