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Dataset Partition Sizes — Daily Sum Series + Keyed Dataset Comparison
x402
Dataset Partition Sizes — Daily Sum Series + 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).
Analyzes dataset partition size records by producing a daily sum time series and a keyed comparison between two supplied datasets, for row_count or file_mb metrics.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset partition sizes — Daily sum series + Keyed dataset comparison: Daily sum series + 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 analytical reports: (1) a daily sum time series aggregating the chosen metric (row_count or file_mb) by date across all partition records, and (2) a keyed comparison report mapping records from the primary dataset against the secondary dataset by row_id, showing differences in the selected metric. Both reports are generated from the supplied data without any external lookup.
Example use cases
Pipeline run size regression check
“I have two runs of my ETL pipeline and I want to compare partition sizes — can you run a daily sum series on row_count for both the before and after datasets and show me a keyed comparison so I can spot any differences?”
Daily file growth trend for storage planning
“Give me a daily sum series of file_mb across all my dataset partitions for the past week, and compare it against last week's partition records so I can see how much storage is growing day over day.”
Group-level row count audit across two snapshots
“I have two snapshots of my dataset partition table — one from this month and one from last month — please compute the daily row_count totals for each and do a keyed comparison so I can audit which groups changed the most.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-07-144?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 dataset partition size records and need both a daily aggregated time series AND a record-level keyed comparison between two datasets in a single $0.01 call, without needing live data lookup, external enrichment, or predictive modeling. It is ideal for data engineers auditing partition growth, comparing pipeline runs, or monitoring storage trends over time using already-exported partition logs.
Side effects
- Missing required fields (row_id, dataset_group, date, row_count, file_mb) causes validation error
- Input array exceeding 200 rows is rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Null values in row_count or file_mb may affect aggregation totals
- Mismatched row_ids between primary and comparison dataset may yield empty or partial keyed comparison
- Payment failure (insufficient USDC) results in 402 response before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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