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Dataset Partition Sizes — Category Frequencies + Equal-Width Histogram
x402
Dataset Partition Sizes — Category Frequencies + Equal-Width Histogram is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Analyzes dataset partition size records (row_count or file_mb) by generating category frequency counts and an equal-width histogram in a single call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset partition sizes — Category frequencies + Equal-width histogram: Category frequencies + Equal-width histogram 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) category frequency counts broken down by dataset_group, showing how many records fall into each group; and (2) an equal-width histogram of the chosen numeric field (row_count or file_mb) divided into the specified number of bins, with counts per bin. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Partition skew detection in data lake
“I have 150 dataset partition records with row_count and file_mb values — can you generate category frequencies by dataset_group and a 10-bin histogram of row_count so I can spot if any groups are massively larger than others?”
File size distribution audit
“Run a 5-bin equal-width histogram on the file_mb field for these partition records, and also give me how many partitions fall into each dataset_group category — I want to see if any partition groups have unusually large files.”
Data pipeline monitoring snapshot
“Here are my daily dataset partition stats for the last 30 days — give me category frequencies by dataset_group and a 20-bin histogram of row_count so I can understand the overall shape of partition sizes.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-07-106?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 dataset partition records and need both a categorical frequency breakdown (by dataset_group) and a numeric distribution histogram (of row_count or file_mb) in a single inexpensive call. It is ideal for data engineers auditing partition skew, monitoring data pipeline outputs, or exploring the shape of partition size distributions without needing a full analytics platform. It is not suitable for real-time streaming data, datasets exceeding 200 rows per call, or tasks requiring prediction, anomaly detection, or external data enrichment.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes row validation failure
- Missing required fields (row_id, dataset_group, date, row_count, file_mb) cause item rejection
- bins value outside 1–30 range is rejected
- Null numeric values in the target field may reduce histogram accuracy
- Non-numeric values in row_count or file_mb fields cause parsing errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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