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Duplicate Observations IQR Outlier Flags and Date-by-Category Pivot
x402
Duplicate Observations IQR Outlier Flags and Date-by-Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).
Analyzes supplied duplicate-observation records to produce two offline reports: IQR-based outlier flags and a date-by-category pivot table, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — IQR outlier flags + Date by category pivot: IQR outlier flags + Date by category pivot for supplied duplicate observations records (duplicate_rows, total_rows). 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 local analytical reports: (1) an IQR outlier flag report marking which input records have duplicate_rows or total_rows values outside the interquartile range, and (2) a date-by-category pivot table cross-tabulating the selected numeric field by date and dataset_group — all computed offline without external lookups.
Example use cases
Data pipeline deduplication audit
“I'm auditing our ETL pipeline and have 150 rows of daily duplicate counts per dataset group from the past quarter — can you flag any IQR outliers in duplicate_rows and pivot the counts by date and group so I can spot which days and groups are problematic?”
Data quality regression after schema change
“After our schema migration last month, I want to check if duplicate_rows spiked abnormally in any dataset group — here are 80 records with row_id, dataset_group, date, duplicate_rows, and total_rows. Please flag outliers using IQR and give me a date-by-category breakdown.”
Comparing duplication across teams' datasets
“I have 60 records tracking duplicate_rows and total_rows across five team dataset groups over the last two weeks — run the IQR outlier flags and a date-by-category pivot on duplicate_rows so I can see which teams have abnormal duplication patterns.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-178?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have batch duplicate-observation records (up to 200 rows) and need both IQR outlier detection and a date-by-category pivot in a single low-cost call. Prefer it over generic statistics APIs when your data is structured around dataset_group, date, duplicate_rows, and total_rows and you want two coordinated offline analytical reports without live lookups or external data enrichment.
Side effects
- Fewer than 1 row submitted — returns a validation error
- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) — schema validation failure
- Malformed date format (not YYYY-MM-DD) — pattern validation rejection
- Null numeric values that reduce effective sample size for IQR computation — may produce degenerate outlier flags
- Invalid field enum value (not duplicate_rows or total_rows) — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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