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Dataset Partition Sizes — Daily Sum Series + Equal-Width Histogram
x402
Dataset Partition Sizes — Daily Sum Series + 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 2026-10-19).
Generates a daily sum time series and an equal-width histogram for dataset partition size metrics (row_count or file_mb) from up to 200 supplied records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset partition sizes — Daily sum series + Equal-width histogram: Daily sum series + 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 independent analytical reports: (1) a daily sum series showing the aggregated total of the selected metric (row_count or file_mb) per date, and (2) an equal-width histogram showing frequency counts across evenly spaced bins for the same metric, using the supplied dataset partition records.
Example use cases
Daily ingestion volume trend analysis
“I've got daily partition records for my ETL pipeline across two dataset groups for the past 3 months — can you compute the daily total row_count as a time series and also show me a histogram with 10 bins so I can see how row counts are distributed?”
File size distribution for storage planning
“Here are 120 records of my dataset partitions with file sizes in MB — can you give me the daily sum series for file_mb and a 5-bin equal-width histogram so I can understand the spread of file sizes across my partitions?”
Partition size audit for data quality review
“I need to audit my dataset partition sizes — I have records for about 80 partitions across several groups. Can you run both a daily sum series and a 15-bin histogram on the file_mb values so I can spot any outliers or spikes?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-07-139?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a daily aggregated time series and a frequency distribution histogram for dataset partition size metrics (row counts or file sizes) from your own supplied data in a single call. It is ideal for data engineers monitoring pipeline throughput or storage growth over time, and for analysts who want a quick statistical overview without setting up local tooling. Prefer this over general analytics platforms when you need a lightweight, pay-per-call computation on up to 200 partition records with no external lookups or data retention.
Side effects
- Rows array is empty or missing — minimum 1 row required
- More than 200 rows supplied — maxItems limit exceeded
- Invalid date format in any row — must match YYYY-MM-DD pattern
- row_id or dataset_group strings exceed 80 characters
- field value is not one of the allowed enum values: row_count or file_mb
- bins value outside allowed range of 1–30
- Null values in the selected metric field may affect aggregation results
- Missing required fields (row_id, dataset_group, date) in any row item
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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