SET_FCAS_CLAWBACK_RUN_TRK

This Settlements FCAS Clawback Run Track report contains the Interval Datetime for which a Clawback has occurred and included in the Settlement run. The report will be produced only if there is any Clawback Run for the Interval date time in the Settlement Date

Column Schema

INTERVAL_DATETIME

The Interval Datetime for which a Clawback Run has been completed.

SQL Type: DATE Polars Type: pl.Datetime()

This column is mandatory, and a primary key.

Example: 2025/08/06 20:45:00

SETTLEMENTDATE

The Settlement Date of the Billing Week

SQL Type: DATE Polars Type: pl.Date()

This column is mandatory, and a primary key.

Example: 2025/08/06 00:00:00

Note that AEMO represents dates as datetimes with a midnight time component.

VERSIONNO

The Settlement Run No

SQL Type: NUMBER(3,0) Polars Type: pl.UInt16

This column is mandatory, and a primary key.

Examples: 7, 12

CLAWBACK_DATE

The Date time the Clawback data has been loaded into the System for processing.

SQL Type: DATE Polars Type: pl.Date()

This column is not mandatory.

Example: 2026/02/03 00:00:00

Note that AEMO represents dates as datetimes with a midnight time component.

LASTCHANGED

The Last changed Date time of the record

For more information, see the dedicated documentation page.

SQL Type: DATE Polars Type: pl.Datetime()

This column is not mandatory.

Example: 2026/02/04 13:29:00

PREV_DATA_SOURCE

The Clawback Data source Used. If this interval has any Clawback already applied in past then value will be CLAWBACK , else DISPATCH. For the first Clawback processing for the Interval the Source is DISPATCH.

The SQL type is VARCHAR2(20). This is actually a factor/enum, with values:

CLAWBACK
DISPATCH

This column is not mandatory.

RUNNO

The RunNo associated with the Clawback for the above interval date time.

SQL Type: NUMBER(3,0) Polars Type: pl.UInt16

This column is not mandatory.

Examples: 1, 3

New Data Timing

Daily Billing Run & Posting a PRELIM/FINAL and REVISE Billing Run

Code Examples

Polars

Casting is enums, categoricals etc is not essential, but may speed up parsing. Swapping int for pl.UInt16, pl.Int32 would also speed up parsing. However some of the datatypes are inferred, so they may be wrong.

This code deduplicates for you. Deduplication is normally only required across multiple months.

This code assumes that all columns are present, which may not be true for older files.

import polars as pl
import polars.selectors as cs

# e.g. "2029/03/15 00:05:00"
dt_s_fmt = "%Y/%m/%d %H:%M:%S"

# Dates are represented as datetimes at midnight

d_fmt = "%Y/%m/%d 00:00:00"

csv_paths = ["SOMEFILE.CSV", "OTHERFILE.CSV"]

lf = (
    pl.concat(
        [
            pl.scan_csv(
                csv_path,  # must be unzipped beforehand
                skip_rows=1,  # skip the header
                infer_schema=False,  # much faster
            )
            .filter(cs.by_index(0) == "D")  # drop the footer
            .select(~cs.by_index(range(4)))  # drop metadata columns
            for csv_path in csv_paths
        ],
        how="diagonal_relaxed",
    )
    .with_columns(
        pl.col("INTERVAL_DATETIME", "LASTCHANGED").str.strptime(pl.Datetime, dt_s_fmt),
        pl.col("SETTLEMENTDATE", "CLAWBACK_DATE").str.strptime(pl.Date, d_fmt),
    )
    .cast(
        {
            "SETTLEMENTDATE": pl.Date(),
            "VERSIONNO": int,  # or pl.UInt16
            "CLAWBACK_DATE": pl.Date(),
            "PREV_DATA_SOURCE": pl.Enum(["CLAWBACK", "DISPATCH"]),
            "RUNNO": int,  # or pl.UInt16
        }
    )
    # Deduplicate
    # We want one row per ['INTERVAL_DATETIME', 'SETTLEMENTDATE', 'VERSIONNO']
    # Tie-breaker: greatest value of LASTCHANGED
    .sort(LASTCHANGED, descending=False)
    .unique(subset=["INTERVAL_DATETIME", "SETTLEMENTDATE", "VERSIONNO"], keep="last")
)

Nemosis

This table is not yet available in Nemosis.

Example File

From PUBLIC_ARCHIVE_SET_FCAS_CLAWBACK_RUN_TRK_FILE01_202607010000.zip

Table without MetadataTable with MetadataRaw Text without Metadata

SETTLEMENTDATE	VERSIONNO	INTERVAL_DATETIME	RUNNO	CLAWBACK_DATE	PREV_DATA_SOURCE	LASTCHANGED
2025/09/07 00:00:00	10	2025/09/07 07:40:00	1	2026/02/03 00:00:00	DISPATCH	2026/02/04 13:29:00
2025/09/07 00:00:00	10	2025/09/07 07:45:00	1	2026/02/03 00:00:00	DISPATCH	2026/02/04 13:29:00
2025/09/08 00:00:00	10	2025/09/08 07:15:00	1	2026/02/03 00:00:00	DISPATCH	2026/02/04 13:29:01
2025/09/08 00:00:00	10	2025/09/08 07:30:00	1	2026/02/03 00:00:00	DISPATCH	2026/02/04 13:29:02
2025/09/08 00:00:00	10	2025/09/08 07:40:00	1	2026/02/03 00:00:00	DISPATCH	2026/02/04 13:29:03
2025/09/08 00:00:00	10	2025/09/08 10:45:00	1	2026/02/03 00:00:00	DISPATCH	2026/02/04 13:29:03
2025/09/08 00:00:00	10	2025/09/08 12:25:00	1	2026/02/03 00:00:00	DISPATCH	2026/02/04 13:29:04
2025/09/08 00:00:00	10	2025/09/08 14:45:00	1	2026/02/03 00:00:00	DISPATCH	2026/02/04 13:29:05
2025/09/08 00:00:00	10	2025/09/08 15:15:00	1	2026/02/03 00:00:00	DISPATCH	2026/02/04 13:29:06
2025/09/08 00:00:00	10	2025/09/08 15:20:00	1	2026/02/03 00:00:00	DISPATCH	2026/02/04 13:29:06
2025/09/08 00:00:00	10	2025/09/08 16:15:00	1	2026/02/03 00:00:00	DISPATCH	2026/02/04 13:29:07
...

C	SETP.WORLD	DVD_SET_FCAS_CLAWBACK_RUN_TRK	AEMO	PUBLIC	2026/08/08	18:20:51	001786177251472	MONTHLY_ARCHIVE	001786177251472
I	SETTLEMENTS	FCAS_CLAWBACK_RUN_TRK	1	SETTLEMENTDATE	VERSIONNO	INTERVAL_DATETIME	RUNNO	CLAWBACK_DATE	PREV_DATA_SOURCE	LASTCHANGED
D	SETTLEMENTS	FCAS_CLAWBACK_RUN_TRK	1	2025/09/07 00:00:00	10	2025/09/07 07:40:00	1	2026/02/03 00:00:00	DISPATCH	2026/02/04 13:29:00
D	SETTLEMENTS	FCAS_CLAWBACK_RUN_TRK	1	2025/09/07 00:00:00	10	2025/09/07 07:45:00	1	2026/02/03 00:00:00	DISPATCH	2026/02/04 13:29:00
D	SETTLEMENTS	FCAS_CLAWBACK_RUN_TRK	1	2025/09/08 00:00:00	10	2025/09/08 07:15:00	1	2026/02/03 00:00:00	DISPATCH	2026/02/04 13:29:01
D	SETTLEMENTS	FCAS_CLAWBACK_RUN_TRK	1	2025/09/08 00:00:00	10	2025/09/08 07:30:00	1	2026/02/03 00:00:00	DISPATCH	2026/02/04 13:29:02
D	SETTLEMENTS	FCAS_CLAWBACK_RUN_TRK	1	2025/09/08 00:00:00	10	2025/09/08 07:40:00	1	2026/02/03 00:00:00	DISPATCH	2026/02/04 13:29:03
D	SETTLEMENTS	FCAS_CLAWBACK_RUN_TRK	1	2025/09/08 00:00:00	10	2025/09/08 10:45:00	1	2026/02/03 00:00:00	DISPATCH	2026/02/04 13:29:03
D	SETTLEMENTS	FCAS_CLAWBACK_RUN_TRK	1	2025/09/08 00:00:00	10	2025/09/08 12:25:00	1	2026/02/03 00:00:00	DISPATCH	2026/02/04 13:29:04
D	SETTLEMENTS	FCAS_CLAWBACK_RUN_TRK	1	2025/09/08 00:00:00	10	2025/09/08 14:45:00	1	2026/02/03 00:00:00	DISPATCH	2026/02/04 13:29:05
D	SETTLEMENTS	FCAS_CLAWBACK_RUN_TRK	1	2025/09/08 00:00:00	10	2025/09/08 15:15:00	1	2026/02/03 00:00:00	DISPATCH	2026/02/04 13:29:06
D	SETTLEMENTS	FCAS_CLAWBACK_RUN_TRK	1	2025/09/08 00:00:00	10	2025/09/08 15:20:00	1	2026/02/03 00:00:00	DISPATCH	2026/02/04 13:29:06
D	SETTLEMENTS	FCAS_CLAWBACK_RUN_TRK	1	2025/09/08 00:00:00	10	2025/09/08 16:15:00	1	2026/02/03 00:00:00	DISPATCH	2026/02/04 13:29:07
...
C	END OF REPORT	1003

SETTLEMENTDATE,VERSIONNO,INTERVAL_DATETIME,RUNNO,CLAWBACK_DATE,PREV_DATA_SOURCE,LASTCHANGED
"2025/09/07 00:00:00",10,"2025/09/07 07:40:00",1,"2026/02/03 00:00:00",DISPATCH,"2026/02/04 13:29:00"
"2025/09/07 00:00:00",10,"2025/09/07 07:45:00",1,"2026/02/03 00:00:00",DISPATCH,"2026/02/04 13:29:00"
"2025/09/08 00:00:00",10,"2025/09/08 07:15:00",1,"2026/02/03 00:00:00",DISPATCH,"2026/02/04 13:29:01"
"2025/09/08 00:00:00",10,"2025/09/08 07:30:00",1,"2026/02/03 00:00:00",DISPATCH,"2026/02/04 13:29:02"
"2025/09/08 00:00:00",10,"2025/09/08 07:40:00",1,"2026/02/03 00:00:00",DISPATCH,"2026/02/04 13:29:03"
"2025/09/08 00:00:00",10,"2025/09/08 10:45:00",1,"2026/02/03 00:00:00",DISPATCH,"2026/02/04 13:29:03"
"2025/09/08 00:00:00",10,"2025/09/08 12:25:00",1,"2026/02/03 00:00:00",DISPATCH,"2026/02/04 13:29:04"
"2025/09/08 00:00:00",10,"2025/09/08 14:45:00",1,"2026/02/03 00:00:00",DISPATCH,"2026/02/04 13:29:05"
"2025/09/08 00:00:00",10,"2025/09/08 15:15:00",1,"2026/02/03 00:00:00",DISPATCH,"2026/02/04 13:29:06"
"2025/09/08 00:00:00",10,"2025/09/08 15:20:00",1,"2026/02/03 00:00:00",DISPATCH,"2026/02/04 13:29:06"
"2025/09/08 00:00:00",10,"2025/09/08 16:15:00",1,"2026/02/03 00:00:00",DISPATCH,"2026/02/04 13:29:07"
...

Raw Text with Metadata

C,SETP.WORLD,DVD_SET_FCAS_CLAWBACK_RUN_TRK,AEMO,PUBLIC,2026/08/08,18:20:51,001786177251472,MONTHLY_ARCHIVE,001786177251472
I,SETTLEMENTS,FCAS_CLAWBACK_RUN_TRK,1,SETTLEMENTDATE,VERSIONNO,INTERVAL_DATETIME,RUNNO,CLAWBACK_DATE,PREV_DATA_SOURCE,LASTCHANGED
D,SETTLEMENTS,FCAS_CLAWBACK_RUN_TRK,1,"2025/09/07 00:00:00",10,"2025/09/07 07:40:00",1,"2026/02/03 00:00:00",DISPATCH,"2026/02/04 13:29:00"
D,SETTLEMENTS,FCAS_CLAWBACK_RUN_TRK,1,"2025/09/07 00:00:00",10,"2025/09/07 07:45:00",1,"2026/02/03 00:00:00",DISPATCH,"2026/02/04 13:29:00"
D,SETTLEMENTS,FCAS_CLAWBACK_RUN_TRK,1,"2025/09/08 00:00:00",10,"2025/09/08 07:15:00",1,"2026/02/03 00:00:00",DISPATCH,"2026/02/04 13:29:01"
D,SETTLEMENTS,FCAS_CLAWBACK_RUN_TRK,1,"2025/09/08 00:00:00",10,"2025/09/08 07:30:00",1,"2026/02/03 00:00:00",DISPATCH,"2026/02/04 13:29:02"
D,SETTLEMENTS,FCAS_CLAWBACK_RUN_TRK,1,"2025/09/08 00:00:00",10,"2025/09/08 07:40:00",1,"2026/02/03 00:00:00",DISPATCH,"2026/02/04 13:29:03"
D,SETTLEMENTS,FCAS_CLAWBACK_RUN_TRK,1,"2025/09/08 00:00:00",10,"2025/09/08 10:45:00",1,"2026/02/03 00:00:00",DISPATCH,"2026/02/04 13:29:03"
D,SETTLEMENTS,FCAS_CLAWBACK_RUN_TRK,1,"2025/09/08 00:00:00",10,"2025/09/08 12:25:00",1,"2026/02/03 00:00:00",DISPATCH,"2026/02/04 13:29:04"
D,SETTLEMENTS,FCAS_CLAWBACK_RUN_TRK,1,"2025/09/08 00:00:00",10,"2025/09/08 14:45:00",1,"2026/02/03 00:00:00",DISPATCH,"2026/02/04 13:29:05"
D,SETTLEMENTS,FCAS_CLAWBACK_RUN_TRK,1,"2025/09/08 00:00:00",10,"2025/09/08 15:15:00",1,"2026/02/03 00:00:00",DISPATCH,"2026/02/04 13:29:06"
D,SETTLEMENTS,FCAS_CLAWBACK_RUN_TRK,1,"2025/09/08 00:00:00",10,"2025/09/08 15:20:00",1,"2026/02/03 00:00:00",DISPATCH,"2026/02/04 13:29:06"
D,SETTLEMENTS,FCAS_CLAWBACK_RUN_TRK,1,"2025/09/08 00:00:00",10,"2025/09/08 16:15:00",1,"2026/02/03 00:00:00",DISPATCH,"2026/02/04 13:29:07"
...
C,"END OF REPORT",1003

Availability

Visibility: Public

This table is in the public monthly MMSDM archive.

I have collated the list of all those files into one place, in this CSV metadata file. (Columns year, month, url, compressed_size in bytes).

The earliest available data is month 1 of 2026. The most recent available data is month 7 of 2026.

Every month in between has a file. (No gaps.)

Data Size

Each year of data is approximately 924 KB when zipped, 9 MB as unzipped CSV.

Deduplication and PDR Loader Configuration

The primary keys are:

INTERVAL_DATETIME
SETTLEMENTDATE
VERSIONNO

The transaction type is "insert", which means that you will usually not see duplicate data. If you do, you can deduplicate based on the primary keys, without sorting first. Rows from different files with the same primary keys should have the same values.

PDR Loader configuration is:

Report Name	Report Subtype	Version
SETTLEMENTS	FCAS_CLAWBACK_RUN_TRK	1

This means that the CSV files start with metadata columns:

I,SETTLEMENTS,FCAS_CLAWBACK_RUN_TRK,1,...
D,SETTLEMENTS,FCAS_CLAWBACK_RUN_TRK,1,...

Links

This page as JSON (schema documented here, but may change)

Download a JSON Schema specification for this table.

Official AEMO schema documentation

Other Information

Package: SETTLEMENT_DATA