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Dataset Partition Sizes — Category Frequencies + Two-Measure Correlation
x402
Dataset Partition Sizes — Category Frequencies + Two-Measure Correlation 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 (row_count, file_mb) to produce two reports: category frequency distribution by dataset_group and a correlation analysis between the two numeric measures.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset partition sizes — Category frequencies + Two-measure correlation: Category frequencies + Two-measure correlation 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 category frequency table showing how many records belong to each dataset_group value, and (2) a two-measure correlation analysis between row_count and file_mb across the supplied rows — all computed locally with no external lookups, covering up to 200 input rows.
Example use cases
Data lake partition audit
“I have 80 partition records from our data lake, each with a dataset_group, a date, a row_count, and a file_mb value. Can you tell me how frequently each group appears and whether row count and file size are correlated?”
Storage efficiency investigation
“Here are 120 dataset partition entries with row_count and file_mb — can you run a frequency count on the dataset_group categories and also check how strongly row count correlates with file size so I can spot inefficient partitions?”
Monthly pipeline size reporting
“I've got this month's pipeline partition data — 45 records with group labels, dates, row counts, and file sizes. Give me a breakdown of how many records belong to each group and a correlation between row_count and file_mb.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-07-108?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular dataset partition records with a categorical group label and two numeric measures (row_count and file_mb) and need both a frequency distribution of categories and a pairwise correlation between the two measures in a single low-cost call. It is ideal for lightweight, local statistical summarization of up to 200 rows without needing a full analytics platform or live data connection.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, row_count, file_mb) cause validation errors
- Null values in row_count or file_mb may reduce correlation reliability
- Malformed date strings not matching YYYY-MM-DD pattern will fail schema validation
- All rows belonging to a single group yields trivial frequency output
- Insufficient numeric variance in measures may produce undefined or near-zero correlation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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