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Dataset Partition Sizes — Base-100 Series + Keyed Dataset Comparison
x402
Dataset Partition Sizes — Base-100 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 2026-10-15).
Runs two local analytical reports (Base-100 index series and keyed dataset comparison) on supplied dataset partition size records (row_count or file_mb), for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset partition sizes — Base-100 series + Keyed dataset comparison: Base-100 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 independent analytical reports: (1) a Base-100 index series showing each row's metric value indexed relative to a baseline of 100, and (2) a keyed dataset comparison report contrasting the primary and secondary supplied datasets row by row on the chosen field (row_count or file_mb). All analysis is performed locally on the supplied data with no external lookups.
Example use cases
Dataset storage growth baseline analysis
“Here are our dataset partition records for the last quarter — each row has a date, dataset_group, row_count, and file_mb. Run the Base-100 index series on file_mb so I can see how storage has grown relative to the starting point.”
Before/after row count comparison
“I have two versions of our partition metrics — one from before last week's ETL job and one from after. Can you run the keyed dataset comparison on row_count so I can see which partitions changed?”
Multi-group partition size benchmarking
“We have partition size records across group-a and group-b for October 2026. Run both the Base-100 series and the keyed comparison on file_mb so I can benchmark how each group's storage compares and has trended.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-07-168?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of dataset partition records (row counts or file sizes) and want two specific analytical outputs — a Base-100 index series and a keyed comparison between two datasets — without needing live data retrieval, predictions, or external enrichment. It is ideal for data engineers comparing ETL job results, monitoring partition growth, or benchmarking dataset sizes across groups, all at a very low fixed cost ($0.01 USDC for both reports).
Side effects
- Input array exceeds 200 rows — request will be rejected
- 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) causes schema rejection
- field enum value not 'row_count' or 'file_mb' causes error
- Empty rows array (minItems:1 violated) returns error
- Null numeric values in the selected field may produce incomplete index calculations
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| base_index | integer |
Tags
x402
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