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Dataset Partition Sizes — Category Frequencies + Date by Category Pivot
x402
Dataset Partition Sizes — Category Frequencies + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Analyzes dataset partition size records (row_count or file_mb) to produce two reports: category frequency counts and a date-by-category pivot table.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset partition sizes — Category frequencies + Date by category pivot: Category frequencies + Date by category pivot for supplied dataset partition sizes records (row_count, file_mb). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two independent analytical reports: (1) a category frequency table showing how often each dataset_group value appears in the supplied rows, and (2) a date-by-category pivot table showing the selected numeric field (row_count or file_mb) broken down by date and dataset_group. Covers up to 200 input rows per call.
Example use cases
Auditing partition growth by dataset group
“I have a log of 50 dataset partitions with their row counts and dates — can you tell me how frequently each dataset group appears and show me a pivot of row_count by date and group so I can see growth trends?”
Storage usage breakdown by category
“For these 80 partition records, analyze the file_mb field: give me a frequency count of each dataset_group and a pivot table showing file size by date and category so I can spot which groups are consuming the most storage.”
Monthly partition audit for data platform
“Here's our monthly partition metadata for 120 records across five dataset groups — run the category frequency report and the date-by-category pivot on row_count so I can share a summary with the data platform team.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-07-110?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a flat list of dataset partition records and need both a quick category frequency count and a date-by-category pivot in a single call for under $0.01. It is ideal for lightweight, local analytical summaries on up to 200 rows without needing a full BI tool or external query engine. Prefer alternatives if you need more than 200 rows, live data lookups, trend forecasting, or reports beyond frequency and pivot.
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, row_count, file_mb) cause row-level validation errors
- Date strings not matching YYYY-MM-DD pattern will fail schema validation
- Null numeric values for the selected field may produce incomplete pivot cells
- Invalid field enum value (not 'row_count' or 'file_mb') causes request rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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