publicdata.au
Search all 126,914 datasets on Australia's government open-data portals and vote for the ones you want as CSV, Excel, JSON and Parquet. The most voted are built first.
First seen 2026-11-05 · Last seen 2026-11-05 · Source: webmcp.com
Answer 9 · Act 3 · Transact 0 · Score: Not yet scored
Tool inspector
count_rows
Count, sum, average, minimum or maximum rows of a served dataset across the whole table, grouped by up to three fields. For the rows themselves use query_rows. Field names and values for group_by and where come from list_fields. sum and avg need a numeric or true-or-false field. min and max take any field. version can be any date in the version history from get_dataset. A version too large for one file is stored as period parts and answered from them. A filter on the period field reads only the parts it can match, and parts names the periods read. Groups come back largest first, and truncated means raise limit or narrow where. An unknown field or version returns an error naming it. Each call costs two of the 60 queries each address may make in 10 seconds.
Page: /backlog/
Input schema
| Property | Type | Required | Description |
|---|---|---|---|
group_by |
array | no | Fields to group by, for example ["crash_severity"]. One total when absent. |
limit |
integer | no | Groups to return, 1 to 1000. 100 when absent. |
metric |
string | no | count, or sum, avg, min or max of a field written as sum.field_name. count when absent. |
slug |
string | yes | Dataset slug from search_datasets |
version |
string | no | A version date, YYYY-MM-DD, from get_dataset. The newest version when absent. |
where |
object | no | Filters by field name, applied to the whole table. A value may be a scalar for an exact, case-sensitive match, a list of scalars to match any of them, null to match blank or suppressed cells, {"min": n, "max": n} for an inclusive range, or {"like": "*text*"} for a pattern where * is the wildcard and case is ignored in ASCII letters. A blank cell never matches a scalar, a list or a range. |
Raw JSON schema
{
"type": "object",
"properties": {
"group_by": {
"description": "Fields to group by, for example [\"crash_severity\"]. One total when absent.",
"items": {
"type": "string"
},
"maxItems": 3,
"type": "array"
},
"limit": {
"default": 100,
"description": "Groups to return, 1 to 1000. 100 when absent.",
"maximum": 1000,
"minimum": 1,
"type": "integer"
},
"metric": {
"default": "count",
"description": "count, or sum, avg, min or max of a field written as sum.field_name. count when absent.",
"type": "string"
},
"slug": {
"description": "Dataset slug from search_datasets",
"type": "string"
},
"version": {
"type": "string",
"description": "A version date, YYYY-MM-DD, from get_dataset. The newest version when absent."
},
"where": {
"type": "object",
"description": "Filters by field name, applied to the whole table. A value may be a scalar for an exact, case-sensitive match, a list of scalars to match any of them, null to match blank or suppressed cells, {\"min\": n, \"max\": n} for an inclusive range, or {\"like\": \"*text*\"} for a pattern where * is the wildcard and case is ignored in ASCII letters. A blank cell never matches a scalar, a list or a range.",
"additionalProperties": true
}
},
"required": [
"slug"
],
"additionalProperties": false
}
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