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Dataset Partition Sizes — Numeric Distribution & Category Frequencies
x402
Dataset Partition Sizes — Numeric Distribution & Category Frequencies is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Analyzes up to 200 dataset partition size records (row_count and file_mb) to produce numeric distribution statistics and category frequency reports for the dataset_group field.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset partition sizes — Numeric distribution + Category frequencies: Numeric distribution + Category frequencies 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
Two analytical reports: (1) a numeric distribution summary for the chosen field (row_count or file_mb) including statistics such as min, max, mean, median, percentiles, and spread; (2) a category frequency report showing how often each dataset_group value appears across the supplied rows. Both reports are generated from the supplied data with no external lookups.
Example use cases
Partition size distribution audit
“I have 150 dataset partition records with row_count and file_mb values across groups like 'raw', 'processed', and 'archive' — can you analyze the numeric distribution of row_count and show me how frequently each group appears?”
File size spread analysis for data lake
“Here are 80 partition entries from our data lake with dates, row counts, and file sizes in MB across dataset groups — give me the distribution stats for file_mb and a frequency breakdown by dataset_group.”
Skew detection in partitioned datasets
“I want to check if our dataset partitions are evenly sized — here are 60 records with row_count and file_mb across two groups, 'group-a' and 'group-b'. Can you compute the numeric distribution for row_count and show category frequencies?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-07-072?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw dataset partition records (with row counts and file sizes) and need quick descriptive statistics plus group frequency analysis without building your own analytical pipeline. It is especially useful when you want two coordinated reports — numeric distribution and category breakdown — from the same batch of up to 200 rows at very low cost ($0.01 USDC). It does not perform live lookups, predictions, or external data enrichment, so it is best for purely local, supply-side analytics on data you already have.
Side effects
- Exceeding 200 rows will be rejected by the schema
- Missing required fields (row_id, dataset_group, date, row_count, file_mb) will cause validation errors
- Invalid date format (not YYYY-MM-DD) will fail pattern validation
- Entirely null numeric fields may produce degenerate or empty distribution reports
- Payment failure via x402 protocol will block the request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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