European Central Bank — PCT dataflow
Official time series from the European Central Bank Data Portal, published as the PCT 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.
Trust score
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Data schema (31 fields)
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) |
| 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 | 13 codes (e.g. Paper-based form, Electronic, File/batch) |
| 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) |
| PYMNT_SCHMPayment scheme | dimension | 17 codes (e.g. All credit transfer schemes combined, SEPA Credit Transfer scheme (SCT), SEPA Instant Credit Transfer scheme (SCT Inst)) |
| SCAStrong Customer Authentication | dimension | 11 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 | 3 codes (e.g. Not applicable (total transactions including both non-fraud and fraud), Fraud, Modification 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 | 16 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.
Sample data (5 records)
Record 1SCA: _X · FREQ: A
{
"SCA": "_X",
"FREQ": "A",
"FRD_TYP": "_Z",
"REF_AREA": "AT",
"OBS_VALUE": 667.96861922,
"RMT_INTTN": "_T",
"COUNT_AREA": "BE",
"PYMNT_SCHM": "CTS_ALL",
"RL_TRNSCTN": "1",
"INTTN_CHNNL": "1200",
"TIME_PERIOD": "2025",
"UNIT_MEASURE": "EUR",
"TRANSFORMATION": "N"
}Record 2SCA: _X · FREQ: A
{
"SCA": "_X",
"FREQ": "A",
"FRD_TYP": "_Z",
"REF_AREA": "AT",
"OBS_VALUE": 0.030092,
"RMT_INTTN": "_T",
"COUNT_AREA": "BE",
"PYMNT_SCHM": "CTS_ALL",
"RL_TRNSCTN": "1",
"INTTN_CHNNL": "1200",
"TIME_PERIOD": "2025",
"UNIT_MEASURE": "PN",
"TRANSFORMATION": "N"
}Record 3SCA: _X · FREQ: A
{
"SCA": "_X",
"FREQ": "A",
"FRD_TYP": "_Z",
"REF_AREA": "AT",
"OBS_VALUE": 27877.67106346,
"RMT_INTTN": "_T",
"COUNT_AREA": "BE",
"PYMNT_SCHM": "CTS_ALL",
"RL_TRNSCTN": "1",
"INTTN_CHNNL": "2000",
"TIME_PERIOD": "2025",
"UNIT_MEASURE": "EUR",
"TRANSFORMATION": "N"
}Record 4SCA: _X · FREQ: A
{
"SCA": "_X",
"FREQ": "A",
"FRD_TYP": "_Z",
"REF_AREA": "AT",
"OBS_VALUE": 1.5771319999999998,
"RMT_INTTN": "_T",
"COUNT_AREA": "BE",
"PYMNT_SCHM": "CTS_ALL",
"RL_TRNSCTN": "1",
"INTTN_CHNNL": "2000",
"TIME_PERIOD": "2025",
"UNIT_MEASURE": "PN",
"TRANSFORMATION": "N"
}Record 5SCA: _X · FREQ: A
{
"SCA": "_X",
"FREQ": "A",
"FRD_TYP": "_Z",
"REF_AREA": "AT",
"OBS_VALUE": 7210.83214959,
"RMT_INTTN": "_T",
"COUNT_AREA": "BE",
"PYMNT_SCHM": "CTS_ALL",
"RL_TRNSCTN": "1",
"INTTN_CHNNL": "2100",
"TIME_PERIOD": "2025",
"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.
Machine-readable & source
Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.