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Dataset Partition Sizes Analytics — Equal-Width Histogram + Missing-Value Fill
x402
Dataset Partition Sizes Analytics — Equal-Width Histogram + Missing-Value Fill 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 an equal-width histogram and explicit missing-value fill report for up to 200 dataset partition size records (row_count or file_mb), using local analytical engines with no external calls.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset partition sizes — Equal-width histogram + Explicit missing-value fill: Equal-width histogram + Explicit missing-value fill 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) an equal-width histogram showing bin ranges and counts for the chosen field (row_count or file_mb), and (2) an explicit missing-value fill report showing which records had nulls and what values were substituted using the chosen method (zero, mean, or median). Both reports are computed locally with no external lookups.
Example use cases
Partition size distribution for data pipeline
“I have 120 dataset partition records with row_count and file_mb values — some nulls — across groups 'raw', 'cleaned', and 'aggregated'. Can you run an equal-width histogram with 8 bins on row_count and fill missing values using the mean?”
File size audit across dataset groups
“Run a histogram analysis on file_mb for my 80 dataset partitions across groups 'ingest' and 'archive', use 5 bins, and fill any missing file_mb values with zero so I can see the full distribution.”
Missing row count imputation before reporting
“I've got 200 partition records dated from 2025-01-01 to 2025-06-30 with some missing row_count entries — use median imputation and generate a 15-bin equal-width histogram so I can report on data volume trends.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-07-175?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, self-contained statistical analysis of dataset partition sizes (row counts or file sizes) with built-in missing-value handling, without needing external data sources or live lookups. Ideal for data engineers auditing partition health, data quality teams imputing missing metrics before reporting, or analysts exploring distribution shapes of dataset volumes. At $0.01 USDC for two reports covering up to 200 rows, it is cost-effective for batch partition audits.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format not matching YYYY-MM-DD pattern
- Field value outside allowed numeric range (±1,000,000,000,000)
- bins parameter outside 1–30 range
- Missing required fields (row_id, dataset_group, date) in any row
- Invalid method enum value (must be zero, mean, or median)
- Invalid field enum value (must be row_count or file_mb)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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