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Dataset Storage Analytics: Equal-Width Histogram + Date-by-Category Pivot
x402
Dataset Storage Analytics: Equal-Width Histogram + 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).
Computes an equal-width histogram and a date-by-category pivot table for dataset storage metrics (used_mb, row_count) from up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset storage — Equal-width histogram + Date by category pivot: Equal-width histogram + Date by category pivot for supplied dataset storage records (used_mb, row_count). 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 analytical reports: (1) an equal-width histogram showing bin ranges and frequency counts for the selected numeric field (used_mb or row_count), and (2) a pivot table cross-tabulating dates against dataset_group categories, both computed locally from the supplied rows with no external lookups.
Example use cases
Storage usage distribution audit
“I have 150 dataset storage records with used_mb values ranging from a few MB to several GB across different dataset groups. Can you bin the used_mb into 8 equal-width buckets and also pivot the data by date and dataset_group so I can see which groups are consuming the most storage over time?”
Row count frequency analysis
“Can you run an equal-width histogram with 5 bins on the row_count field for my dataset storage records, and also give me a date-by-category pivot table grouped by dataset_group? I'll provide the rows including row_id, date, used_mb, and row_count.”
Multi-group dataset growth review
“I've got storage records for three dataset groups over the past quarter — about 200 rows total with dates, used_mb, and row_count. Please compute a 15-bin histogram on used_mb and pivot the data by date and dataset_group so I can spot growth patterns.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-18-173?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 dataset storage records and need both a frequency distribution (histogram) and a date-by-category pivot in a single low-cost call. It is ideal for offline/supplied-data analytics where no live database connection or external lookup is needed, and when the metrics of interest are storage size (used_mb) or row counts grouped by dataset_group and date.
Side effects
- More than 200 rows submitted — exceeds maximum row limit
- Missing required fields (row_id, dataset_group, date, used_mb, or row_count) in any row
- Invalid date format (must be YYYY-MM-DD)
- bins value outside allowed range (1–30)
- Null values in the selected numeric field may affect histogram bin calculation
- Invalid field enum value (must be 'used_mb' or 'row_count')
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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