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Dataset Storage IQR Outlier Flags + Date by Category Pivot Analytics
x402
Dataset Storage IQR Outlier Flags + Date by Category Pivot Analytics 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).
Runs two local analytical reports on submitted dataset storage records: IQR-based outlier flagging and a date-by-category pivot table, for up to 200 rows of used_mb or row_count data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset storage — IQR outlier flags + Date by category pivot: IQR outlier flags + Date by category pivot for supplied dataset storage records (used_mb, row_count). 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) each input row annotated with an IQR-based outlier flag indicating whether used_mb or row_count is statistically anomalous, and (2) a pivot table summarizing the chosen metric (used_mb or row_count) broken down by date and dataset_group category. No external data is fetched; all computation is local.
Example use cases
Storage anomaly detection for data ops
“I have 50 storage records across several dataset groups with dates and used_mb values — can you flag which rows are IQR outliers and also give me a pivot of usage by date and group, using the used_mb field?”
Row count spike investigation
“Something looks off in our pipeline metrics — can you run IQR outlier flagging on our row_count data across these 120 dataset records and also pivot them by date and dataset_group so I can see where spikes cluster?”
Monthly storage audit by team group
“I need to audit storage consumption across our teams for Q4 — here are 180 records with used_mb, dates, and group names. Can you flag the statistical outliers and generate a date-by-category breakdown for me?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-18-178?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 dataset storage records (with used_mb and row_count fields) and need both IQR outlier detection and a date-by-category pivot in a single low-cost call. It is ideal for offline/batch analytical passes over collected storage metrics without requiring a live database connection or external data enrichment. Prefer this over general-purpose analytics tools when cost predictability ($0.01 flat for both reports) and no-side-effect local computation matter.
Side effects
- Fewer than 1 or more than 200 rows submitted — request rejected
- Missing required fields (row_id, dataset_group, date, used_mb, row_count) on any row
- Date values not matching YYYY-MM-DD format — validation error
- Invalid field enum value (must be 'used_mb' or 'row_count')
- All values null for the selected metric — IQR computation undefined
- Payment not included or insufficient — 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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