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Dataset Partition Sizes — Date-by-Category Pivot + Keyed Dataset Comparison
x402
Dataset Partition Sizes — Date-by-Category Pivot + Keyed Dataset Comparison 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).
Generates two analytical reports from supplied dataset partition size records: a date-by-category pivot table and a keyed comparison between two datasets, for up to 200 rows each.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset partition sizes — Date by category pivot + Keyed dataset comparison: Date by category pivot + Keyed dataset comparison 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 date-by-category pivot table showing the selected metric (row_count or file_mb) broken down by date and dataset_group, and (2) a keyed comparison report matching records from the primary and secondary datasets by row_id to surface differences in the chosen metric. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
ETL pipeline partition growth audit
“I want to see how our dataset partitions have grown over the past month — I have records for each partition with date, dataset_group, row_count, and file_mb. Can you pivot these by date and category so I can see row_count trends, and also compare this month's snapshot against last month's snapshot keyed by row_id?”
Storage cost analysis by dataset group
“We have two dataset snapshots from different pipeline runs, each with row_id, dataset_group, date, and file_mb fields. Run a date-by-category pivot on file_mb for the current snapshot and compare it against the previous snapshot so I can see which groups grew the most in storage size.”
Data quality check between staging and production
“Can you compare our staging dataset partitions against our production dataset partitions? Both have row_id, dataset_group, date, row_count, and file_mb. I want a keyed comparison on row_count to spot any mismatches, plus a pivot of the staging data by date and dataset_group.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-07-188?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 dataset partition records and need both a date-by-category pivot table and a keyed comparison between two dataset versions in a single paid call. It is ideal for data engineers monitoring ETL pipeline outputs, comparing dataset snapshots, or auditing partition size trends by group over time — without needing a live database, BI tool, or external analytics service. Prefer alternatives if you need more than 200 rows, real-time data fetching, or more than two report types per call.
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) on any row causes validation error
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Mismatched row_ids between primary and comparison datasets may produce incomplete comparison report
- Null values in row_count or file_mb may result in gaps in pivot or comparison output
- Payment of 0.01 USDC not completed — endpoint returns 402 and no analysis is performed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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