Dataset Aggregate & Pivot
GROUP BY and pivot tables for JSON rows: 11 functions, date buckets, top N, totals, messy numbers.
- 0.1.0
- Version
- remote
- Transport
- 2
- Tools
Security review
Review passedReviewed 1d ago.
- tools: 2 tools scanned
- metadata: scanned
No findings.
Tools (2)
list_capabilities
Returns the 11 aggregation functions and what each one does, the date bucket formats, the labels used for blank, invalid-date and total rows, and the limits per call (rows, pivot columns, pivot cells, aggregations). Call this first if you are unsure what is available. Free, processes no data.
aggregate_rows
SQL GROUP BY and a spreadsheet pivot table for a list of JSON rows, in one call. Returns one output row per group with the aggregated columns, plus a summary: groups found, groups dropped by topN, values skipped because they were blank or not numeric (never guessed), and warnings such as a misspelled field name. Use it to turn scraped or API records into totals: orders and revenue per region, average price per brand, listings per city per month, top 10 products by revenue. Messy data is expected: "South" and "south " group together, and "$1,234.50" sums as 1234.5. Leave groupByFields empty to summarise all rows into one row. At most 500 rows per call.