Prices in currency/MWh from the intraday market. The data is delivered for each market time unit.
Usage
intraday_prices(
eic = NULL,
period_start = ymd(Sys.Date() - days(x = 1L), tz = "CET"),
period_end = ymd(Sys.Date(), tz = "CET"),
tidy_output = TRUE,
security_token = Sys.getenv("ENTSOE_PAT")
)Arguments
- eic
Energy Identification Code of the related domain
- period_start
POSIXct or YYYY-MM-DD HH:MM:SS format One year range limit applies
- period_end
POSIXct or YYYY-MM-DD HH:MM:SS format One year range limit applies
- tidy_output
Defaults to TRUE. If TRUE, then flatten nested tables.
- security_token
Security token for ENTSO-E transparency platform
Value
A tibble::tibble() with the queried data.
See also
Other market endpoints:
aggregated_bids(),
allocated_transfer_capacities_3rd_countries(),
already_allocated_total_capacity(),
auction_revenue(),
congestion_income(),
continuous_offered_transfer_capacities(),
continuous_offered_transfer_capacity(),
energy_prices(),
explicit_offered_transfer_capacities(),
explicit_offered_transfer_capacity(),
flow_based_allocations(),
implicit_offered_transfer_capacities(),
implicit_offered_transfer_capacity(),
net_positions(),
total_nominated_capacity()
Examples
df <- entsoeapi::intraday_prices(
eic = "10YCZ-CEPS-----N",
period_start = lubridate::ymd(x = "2024-01-01", tz = "CET"),
period_end = lubridate::ymd(x = "2024-02-01", tz = "CET"),
tidy_output = TRUE
)
#>
#> ── API call ────────────────────────────────────────────────────────────────────────────────────────────────────────────
#> → https://web-api.tp.entsoe.eu/api?documentType=A44&contract_MarketAgreement.Type=A07&in_Domain=10YCZ-CEPS-----N&out_Domain=10YCZ-CEPS-----N&periodStart=202312312300&periodEnd=202401312300&securityToken=<...>
#> <- HTTP/2 200
#> <- date: Mon, 13 Apr 2026 08:51:52 GMT
#> <- content-type: text/xml
#> <- content-length: 963
#> <- content-disposition: inline; filename="acknowledgement.xml"
#> <- x-content-type-options: nosniff
#> <- x-xss-protection: 0
#> <- strict-transport-security: max-age=15724800; includeSubDomains
#> <-
#> ✔ response has arrived
#> ✔ Additional definitions have been added!
dplyr::glimpse(df)
#> Rows: 1
#> Columns: 3
#> $ created_date_time <dttm> 2026-04-13 08:51:52
#> $ reason_code <chr> "999"
#> $ reason_text <chr> "No matching data found for Data item ENERGY_PRICES [12.1.D] (10YCZ-CEPS-----N, 10YCZ-CEPS-…