European Central Bank — Central Counterparty Clearing Statistics (CCP)
Central Counterparty Clearing Statistics (CCP) is an official time-series dataset published by the European Central Bank via the ECB Data Portal, distributed as the CCP dataflow over the SDMX 2.1 REST API. A single endpoint delivers data in SDMX-ML (XML), CSV, or JSON formats, with series selectable through key paths and refinable using startPeriod, endPeriod, and lastNObservations filters. The same series can also be browsed and charted interactively on the ECB Data Portal, supporting analysis of central counterparty clearing activity across the euro area.Central Counterparty Clearing Statistics (CCP) — official time series from the European Central Bank Data Portal, published as the CCP dataflow over SDMX 2.1 REST. One endpoint serves XML (SDMX-ML), CSV (?format=csvdata) and JSON (?format=jsondata); extract exactly the series you need with a key path and startPeriod / endPeriod / lastNObservations filters. Browse and chart the same series on the ECB Data Portal.
Trust score
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Data schema (27 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| FREQFrequency | dimension | 1 codes (e.g. Annual) |
| CCP_SYSTEMSystem in the central counterparty clearing context | dimension | 19 codes (e.g. CCP Austria, EUREX Clearing A.G. (Germany), BME Clearing (Spain)) |
| SSS_INFO_TYPEInformation type in securities settlement, clearing, trading context | dimension | 33 codes (e.g. Total participants - central bank, Total participants - central counterparty (CCP), Total participants - credit institution) |
| SSS_INSTRUMENTInstrument in securities settlement, clearing and trading context | dimension | 22 codes (e.g. Not applicable, Financial derivatives, Commodity derivatives) |
| COUNT_AREACounterpart area | dimension | 19 codes (e.g. Not applicable, Belgium, France) |
| SSS_SYSTEMSystem in securities settlement and clearing context | dimension | 19 codes (e.g. Not applicable, OeKB (WSB system) (Austria), Clearstream Europe Frankfurt (Germany)) |
| CURRENCY_TRANSCurrency of transaction | dimension | 4 codes (e.g. Not applicable, Euro, All currencies combined) |
| SERIES_DENOMSeries denominat/spec calcul | dimension | 3 codes (e.g. Quantity, Euro, National currency) |
| 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 | — |
| COLLECTIONCollection indicator | attribute | — |
| COMPILING_ORGCompiling organisation | attribute | — |
| DISS_ORGData dissemination organisation | attribute | — |
| PUBL_ECBSource publication (ECB only) | attribute | — |
| PUBL_MUSource publication (Euro area only) | attribute | — |
| PUBL_PUBLICSource publication (public) | attribute | — |
| DECIMALS | attribute | — |
| SOURCE_AGENCY | attribute | — |
| TITLE | attribute | — |
| TITLE_COMPLTitle complement | attribute | — |
| UNIT | attribute | — |
| UNIT_MULTUnit multiplier | attribute | — |
| OBS_STATUSObservation status | attribute | — |
| OBS_CONFObservation confidentiality | attribute | — |
| OBS_PRE_BREAKPre-break observation value | attribute | — |
| OBS_COMObservation comment | 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 1FREQ: A · OBS_VALUE: —
{
"FREQ": "A",
"OBS_VALUE": null,
"CCP_SYSTEM": "AT1",
"COUNT_AREA": "X0",
"SSS_SYSTEM": "ZZZ",
"TIME_PERIOD": "2025",
"SERIES_DENOM": "Q",
"SSS_INFO_TYPE": "D00",
"CURRENCY_TRANS": "Z0Z",
"SSS_INSTRUMENT": "Z"
}Record 2FREQ: A · OBS_VALUE: —
{
"FREQ": "A",
"OBS_VALUE": null,
"CCP_SYSTEM": "AT1",
"COUNT_AREA": "X0",
"SSS_SYSTEM": "ZZZ",
"TIME_PERIOD": "2025",
"SERIES_DENOM": "Q",
"SSS_INFO_TYPE": "D01",
"CURRENCY_TRANS": "Z0Z",
"SSS_INSTRUMENT": "Z"
}Record 3FREQ: A · OBS_VALUE: 29
{
"FREQ": "A",
"OBS_VALUE": 29,
"CCP_SYSTEM": "AT1",
"COUNT_AREA": "X0",
"SSS_SYSTEM": "ZZZ",
"TIME_PERIOD": "2025",
"SERIES_DENOM": "Q",
"SSS_INFO_TYPE": "D03",
"CURRENCY_TRANS": "Z0Z",
"SSS_INSTRUMENT": "Z"
}Record 4FREQ: A · OBS_VALUE: 6
{
"FREQ": "A",
"OBS_VALUE": 6,
"CCP_SYSTEM": "AT1",
"COUNT_AREA": "X0",
"SSS_SYSTEM": "ZZZ",
"TIME_PERIOD": "2025",
"SERIES_DENOM": "Q",
"SSS_INFO_TYPE": "D04",
"CURRENCY_TRANS": "Z0Z",
"SSS_INSTRUMENT": "Z"
}Record 5FREQ: A · OBS_VALUE: 35
{
"FREQ": "A",
"OBS_VALUE": 35,
"CCP_SYSTEM": "AT1",
"COUNT_AREA": "X0",
"SSS_SYSTEM": "ZZZ",
"TIME_PERIOD": "2025",
"SERIES_DENOM": "Q",
"SSS_INFO_TYPE": "D0T",
"CURRENCY_TRANS": "Z0Z",
"SSS_INSTRUMENT": "Z"
}Live sample captured at profiling time — values may have changed upstream.
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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.
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