European Central Bank — PEM dataflow

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Official time series from the European Central Bank Data Portal, published as the PEM dataflow over SDMX 2.1 REST. One endpoint serves XML (SDMX-ML), CSV (?format=csvdata) and JSON (?format=jsondata), with key-path and period filters.

economyprices

Run verified request Dataflow structure Fetch observations (JSON)Read the docs Open source record

Data schema (31 fields)

Filterable via the API (12)

FREQREF_AREACOUNT_AREATYP_TRNSCTNRL_TRNSCTNINTTN_CHNNLRMT_INTTNSCAFRD_TYPTRANSFORMATIONUNIT_MEASURETIME_PERIOD

Click a field to see example values.

Field	Type	Description
FREQFrequency	dimension	3 codes (e.g. Annual, Half-yearly, Quarterly)
REF_AREAReference area	dimension	29 codes (e.g. Austria, EU (Member States and Institutions of the European Union) changing composition, Belgium)
COUNT_AREACounterpart area	dimension	51 codes (e.g. Belgium, Bulgaria, Cyprus)
TYP_TRNSCTNPayment transaction type	dimension	3 codes (e.g. E-money payments, E-money payments with a card on which e-money can be stored directly, E-money payments from account)
RL_TRNSCTNRole in transaction	dimension	2 codes (e.g. Payer's payment service provider (PSP), Payee's payment service provider (PSP))
INTTN_CHNNLInitiation channel	dimension	5 codes (e.g. All, E-money card, Mobile payment solution)
RMT_INTTNRemote or non-remote initiation	dimension	3 codes (e.g. Initiated either via remote or non-remote channel, Initiated via non-remote channel, Intiated via remote channel)
SCAStrong Customer Authentication	dimension	13 codes (e.g. Either strong customer authentication (SCA) or non-SCA used, Strong customer authentication (SCA) used, Non-strong customer authentication (non-SCA) used)
FRD_TYPFraud type	dimension	5 codes (e.g. Not applicable (total transactions including both non-fraud and fraud), Fraud, Issuance of a payment order by the fraudster)
TRANSFORMATION	dimension	2 codes (e.g. Non transformed data, Growth rate %, period on period)
UNIT_MEASUREUnit of measure	dimension	17 codes (e.g. Euro, Pure number, Euro; ratio to GDP)
TIME_PERIODTime period or range	time	Time dimension — filter with startPeriod / endPeriod query params.
OBS_VALUEObservation value	number	The observed numeric value for each cell.
TIME_FORMATTime format code	attribute	—
BREAKS	attribute	—
COMMENT_TSSeries comment including brief description of the underlying statistic	attribute	—
COMPILING_ORGCompiling organisation	attribute	—
DISS_ORGData dissemination organisation	attribute	—
TIME_PER_COLLECTTime period collection	attribute	—
COVERAGE	attribute	—
DATA_COMPUnderlying compilation	attribute	—
DECIMALS	attribute	—
METHOD_REFMethodology reference	attribute	—
TITLE	attribute	—
TITLE_COMPLTitle complement	attribute	—
UNIT	attribute	—
UNIT_MULTUnit multiplier	attribute	—
OBS_STATUSObservation status	attribute	—
CONF_STATUSConfidentiality status	attribute	—
PRE_BREAK_VALUE	attribute	—
COMMENT_OBSComments to the observation value	attribute	—

Schema captured from sdmx 1 month ago.

Query the data

Pick columns and a sort, then fetch a live preview straight from the source. Choose an API-filterable column (marked ▾) under “Where” to pick from its list of values.

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Sample data (5 records)

Record 1SCA: _X · FREQ: A

{
  "SCA": "_X",
  "FREQ": "A",
  "FRD_TYP": "_Z",
  "REF_AREA": "AT",
  "OBS_VALUE": null,
  "RMT_INTTN": "_T",
  "COUNT_AREA": "BE",
  "RL_TRNSCTN": "1",
  "INTTN_CHNNL": "_T",
  "TIME_PERIOD": "2025",
  "TYP_TRNSCTN": "EMP0",
  "UNIT_MEASURE": "EUR",
  "TRANSFORMATION": "N"
}

Record 2SCA: _X · FREQ: A

{
  "SCA": "_X",
  "FREQ": "A",
  "FRD_TYP": "_Z",
  "REF_AREA": "AT",
  "OBS_VALUE": null,
  "RMT_INTTN": "_T",
  "COUNT_AREA": "BE",
  "RL_TRNSCTN": "1",
  "INTTN_CHNNL": "_T",
  "TIME_PERIOD": "2025",
  "TYP_TRNSCTN": "EMP0",
  "UNIT_MEASURE": "PN",
  "TRANSFORMATION": "N"
}

Record 3SCA: _X · FREQ: A

{
  "SCA": "_X",
  "FREQ": "A",
  "FRD_TYP": "_Z",
  "REF_AREA": "AT",
  "OBS_VALUE": null,
  "RMT_INTTN": "_T",
  "COUNT_AREA": "BE",
  "RL_TRNSCTN": "2",
  "INTTN_CHNNL": "_T",
  "TIME_PERIOD": "2025",
  "TYP_TRNSCTN": "EMP0",
  "UNIT_MEASURE": "EUR",
  "TRANSFORMATION": "N"
}

Record 4SCA: _X · FREQ: A

{
  "SCA": "_X",
  "FREQ": "A",
  "FRD_TYP": "_Z",
  "REF_AREA": "AT",
  "OBS_VALUE": null,
  "RMT_INTTN": "_T",
  "COUNT_AREA": "BE",
  "RL_TRNSCTN": "2",
  "INTTN_CHNNL": "_T",
  "TIME_PERIOD": "2025",
  "TYP_TRNSCTN": "EMP0",
  "UNIT_MEASURE": "PN",
  "TRANSFORMATION": "N"
}

Record 5SCA: _X · FREQ: A

{
  "SCA": "_X",
  "FREQ": "A",
  "FRD_TYP": "_Z",
  "REF_AREA": "AT",
  "OBS_VALUE": 0,
  "RMT_INTTN": "_T",
  "COUNT_AREA": "BE",
  "RL_TRNSCTN": "1",
  "INTTN_CHNNL": "_T",
  "TIME_PERIOD": "2024",
  "TYP_TRNSCTN": "EMP2",
  "UNIT_MEASURE": "EUR",
  "TRANSFORMATION": "N"
}

Live sample captured at profiling time — values may have changed upstream.

Verification Status

Using the API

Query examples

curl -s 'https://data-api.ecb.europa.eu/service/dataflow/ECB' -H 'Accept: application/vnd.sdmx.structure+xml;version=2.1'

All dataflows (datasets) published by this agency, as SDMX-ML.

Full API documentation ↗

Machine-readable & source

JSON

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