European Central Bank — PIS dataflow
The PIS dataflow is an official time series dataset published via the European Central Bank Data Portal, covering price-related economic indicators. It is distributed through an SDMX 2.1 REST endpoint that supports multiple output formats, including XML (SDMX-ML), CSV (via the csvdata parameter), and JSON (via the jsondata parameter). Users can filter results by key-path and time period, enabling flexible retrieval of specific series. The dataset provides free, unauthenticated access and is intended for statistical, economic, and financial analysis at the European level, maintained by the European Central Bank.Official time series from the European Central Bank Data Portal, published as the PIS 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 (30 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| FREQFrequency | dimension | Frequency of the time series, e.g. half-yearly.1 codes (e.g. Half-yearly) |
| REF_AREAReference area | dimension | Reference country or area reporting the data.27 codes (e.g. Austria, EU (Member States and Institutions of the European Union) changing composition, Belgium) |
| COUNT_AREACounterpart area | dimension | Counterpart country or area for the transaction.35 codes (e.g. Belgium, Bulgaria, Cyprus) |
| TYP_TRNSCTNPayment transaction type | dimension | Type of payment transaction covered by the observation.3 codes (e.g. All, Credit transfers, Other than credit transfers initiated by payment initiation service provider (PISP)) |
| RL_TRNSCTNRole in transaction | dimension | Role of the payment initiation service provider in the transaction.1 codes (e.g. Payment initiation service provider (PISP)) |
| RMT_INTTNRemote or non-remote initiation | dimension | Indicates whether payment was initiated remotely or non-remotely.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 | Indicates whether strong customer authentication was used.3 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 | Indicates whether the observation relates to fraudulent transactions.2 codes (e.g. Not applicable (total transactions including both non-fraud and fraud), Fraud) |
| TRANSFORMATION | dimension | Indicates whether the data has been transformed from its original form.1 codes (e.g. Non transformed data) |
| UNIT_MEASUREUnit of measure | dimension | Unit in which the observation value is measured.3 codes (e.g. Euro, Pure number, Domestic currency (incl. conversion to current currency made using a fixed parity or market exchange rate)) |
| TIME_PERIODTime period or range | time | Time period of the observation, filterable by start/end period.Time dimension — filter with startPeriod / endPeriod query params. |
| OBS_VALUEObservation value | number | Numeric value of the observation.The observed numeric value for each cell. |
| TIME_FORMATTime format code | attribute | Code specifying the format of the time period.Code specifying the format of the time period. |
| BREAKS | attribute | Notes on structural breaks in the time series.Notes on structural breaks in the time series. |
| COMMENT_TSSeries comment including brief description of the underlying statistic | attribute | Comment describing the underlying statistic for the series.Comment describing the underlying statistic for the series. |
| COMPILING_ORGCompiling organisation | attribute | Organisation that compiled the data.Organisation that compiled the data. |
| DISS_ORGData dissemination organisation | attribute | Organisation that disseminates the data.Organisation that disseminates the data. |
| TIME_PER_COLLECTTime period collection | attribute | Time period over which the data was collected.Time period over which the data was collected. |
| COVERAGE | attribute | Description of the data's scope or coverage.Description of the data's scope or coverage. |
| DATA_COMPUnderlying compilation | attribute | Information on how the underlying data was compiled.Information on how the underlying data was compiled. |
| DECIMALS | attribute | Number of decimal places in the observation value.Number of decimal places in the observation value. |
| METHOD_REFMethodology reference | attribute | Reference to the methodology used for compiling the data.Reference to the methodology used for compiling the data. |
| TITLE | attribute | Title of the time series.Title of the time series. |
| TITLE_COMPLTitle complement | attribute | Additional complementary title information for the series.Additional complementary title information for the series. |
| UNIT | attribute | Unit of measurement for the observation.Unit of measurement for the observation. |
| UNIT_MULTUnit multiplier | attribute | Multiplier applied to the unit of measurement.Multiplier applied to the unit of measurement. |
| OBS_STATUSObservation status | attribute | Status code indicating the nature of the observation, e.g. provisional.Status code indicating the nature of the observation, e.g. provisional. |
| CONF_STATUSConfidentiality status | attribute | Confidentiality classification of the observation.Confidentiality classification of the observation. |
| PRE_BREAK_VALUE | attribute | Value of the series prior to a structural break.Value of the series prior to a structural break. |
| COMMENT_OBSComments to the observation value | attribute | Comment relating to the specific observation value.Comment relating to the specific observation value. |
Schema captured from sdmx 2 days 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: H
{
"SCA": "_X",
"FREQ": "H",
"FRD_TYP": "_Z",
"REF_AREA": "AT",
"OBS_VALUE": 0,
"RMT_INTTN": "_T",
"COUNT_AREA": "BE",
"OBS_STATUS": "P",
"RL_TRNSCTN": "3",
"COMMENT_OBS": null,
"CONF_STATUS": "F",
"TIME_PERIOD": "2025-S2",
"TYP_TRNSCTN": "_T",
"UNIT_MEASURE": "EUR",
"TRANSFORMATION": "N",
"PRE_BREAK_VALUE": null
}Record 2SCA: _X · FREQ: H
{
"SCA": "_X",
"FREQ": "H",
"FRD_TYP": "_Z",
"REF_AREA": "AT",
"OBS_VALUE": 0,
"RMT_INTTN": "_T",
"COUNT_AREA": "BE",
"OBS_STATUS": "P",
"RL_TRNSCTN": "3",
"COMMENT_OBS": null,
"CONF_STATUS": "F",
"TIME_PERIOD": "2025-S2",
"TYP_TRNSCTN": "_T",
"UNIT_MEASURE": "PN",
"TRANSFORMATION": "N",
"PRE_BREAK_VALUE": null
}Record 3SCA: _X · FREQ: H
{
"SCA": "_X",
"FREQ": "H",
"FRD_TYP": "_Z",
"REF_AREA": "AT",
"OBS_VALUE": 0,
"RMT_INTTN": "_T",
"COUNT_AREA": "BG",
"OBS_STATUS": "P",
"RL_TRNSCTN": "3",
"COMMENT_OBS": null,
"CONF_STATUS": "F",
"TIME_PERIOD": "2025-S2",
"TYP_TRNSCTN": "_T",
"UNIT_MEASURE": "EUR",
"TRANSFORMATION": "N",
"PRE_BREAK_VALUE": null
}Record 4SCA: _X · FREQ: H
{
"SCA": "_X",
"FREQ": "H",
"FRD_TYP": "_Z",
"REF_AREA": "AT",
"OBS_VALUE": 0,
"RMT_INTTN": "_T",
"COUNT_AREA": "BG",
"OBS_STATUS": "P",
"RL_TRNSCTN": "3",
"COMMENT_OBS": null,
"CONF_STATUS": "F",
"TIME_PERIOD": "2025-S2",
"TYP_TRNSCTN": "_T",
"UNIT_MEASURE": "PN",
"TRANSFORMATION": "N",
"PRE_BREAK_VALUE": null
}Record 5SCA: _X · FREQ: H
{
"SCA": "_X",
"FREQ": "H",
"FRD_TYP": "_Z",
"REF_AREA": "AT",
"OBS_VALUE": 0,
"RMT_INTTN": "_T",
"COUNT_AREA": "CY",
"OBS_STATUS": "P",
"RL_TRNSCTN": "3",
"COMMENT_OBS": null,
"CONF_STATUS": "F",
"TIME_PERIOD": "2025-S2",
"TYP_TRNSCTN": "_T",
"UNIT_MEASURE": "EUR",
"TRANSFORMATION": "N",
"PRE_BREAK_VALUE": null
}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
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