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Dataset Partition Sizes — Equal-Width Histogram + IQR Outlier Flags
x402
Dataset Partition Sizes — Equal-Width Histogram + IQR Outlier Flags 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).
Generates an equal-width histogram and IQR-based outlier flags for up to 200 dataset partition size records (row_count or file_mb), returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset partition sizes — Equal-width histogram + IQR outlier flags: Equal-width histogram + IQR outlier flags 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 independent analytical reports: (1) an equal-width histogram showing bin boundaries and frequency counts for the selected field (row_count or file_mb) across up to 200 partition records, and (2) IQR-based outlier flags identifying which records fall beyond 1.5× the interquartile range, both computed locally without external lookups.
Example use cases
Detecting oversized partitions in ETL pipeline
“I have 120 partition records from my ETL pipeline with row_count and file_mb values — can you run a histogram with 8 bins and flag any IQR outliers on the file_mb field so I can spot partitions that are way larger than normal?”
Auditing row count distribution across dataset groups
“Here are my dataset partition stats for October — about 80 rows with row_id, dataset_group, date, and row_count. Run a 5-bin equal-width histogram on row_count and tell me which partitions are statistical outliers.”
Validating partition balance after a data migration
“After migrating our data, I need to check if partition sizes are balanced. I have 150 partition records with row_count and file_mb — please histogram the row_count with 10 bins and flag anything that looks like an outlier using IQR.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-07-170?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, local statistical analysis of dataset partition sizes — specifically equal-width histograms and IQR outlier detection — without any external data lookup or prediction. Ideal for data engineers auditing partition balance, detecting anomalous partitions, or validating ETL outputs. Prefer this over generic statistics APIs when you need both histogram and IQR outlier reports in a single call for up to 200 records at minimal cost.
Side effects
- Fewer than 1 row supplied — validation error
- More than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- row_id missing or empty — required field error
- bin count exceeds 30 or is less than 1 — parameter out of range
- field value not 'row_count' or 'file_mb' — enum validation failure
- All values null for selected field — unable to compute histogram or IQR
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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