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Dataset Partition Sizes — Adjacent Row Changes + Equal-Width Histogram
x402
Dataset Partition Sizes — Adjacent Row Changes + Equal-Width Histogram 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).
Runs two local analytical reports on dataset partition size records (row_count or file_mb): an adjacent row changes analysis and an equal-width histogram, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset partition sizes — Adjacent row changes + Equal-width histogram: Adjacent row changes + Equal-width histogram 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) an adjacent row changes report showing delta values between consecutive records for the selected field (row_count or file_mb), and (2) an equal-width histogram report dividing the selected field's values into the specified number of bins with frequency counts. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Partition growth anomaly detection
“I have 50 daily dataset partition snapshots with row counts and file sizes — can you run the adjacent row changes report on row_count with 8 histogram bins so I can spot any unexpected jumps between consecutive partitions?”
File size distribution for capacity planning
“Run a 15-bin equal-width histogram on file_mb for my partition records so I can see how storage is distributed across these 120 dataset partitions — I need to plan storage allocation.”
Dataset group comparison over time
“I want to see how row counts changed day-over-day for my group-a and group-b partitions over the last quarter — run the adjacent changes report with 5 bins on row_count for these records.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-07-156?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a sequential change analysis and a frequency distribution for dataset partition size metrics (row_count or file_mb) in a single low-cost call. It is ideal for data engineering workflows where you want to detect row-by-row growth anomalies alongside an overall size distribution, without needing an external analytics platform. Best for batch analysis of up to 200 partition records in one shot at $0.01 USDC.
Side effects
- More than 200 rows supplied — request rejected, reduce input to ≤200 rows
- Invalid date format (not YYYY-MM-DD) causes validation error
- bins value outside 1–30 range causes schema validation failure
- Missing required fields (row_id, dataset_group, date, row_count, file_mb) causes item rejection
- All null values in the selected field may produce empty or degenerate histogram
- Malformed JSON body returns 400-level error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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