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Duplicate Observations — Numeric Interval Filter + IQR Outlier Flags
x402
Duplicate Observations — Numeric Interval Filter + 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 2026-10-20).
Filters duplicate observation records by a numeric interval and flags IQR-based outliers across the duplicate_rows and total_rows fields, producing two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Numeric interval filter + IQR outlier flags: Numeric interval filter + IQR outlier flags 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
Returns two independent analytical reports: (1) records from the input that fall within the specified numeric interval for the chosen field (duplicate_rows or total_rows), and (2) IQR-based outlier flags identifying which records are statistically extreme. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Data pipeline quality audit
“I have 50 daily records tracking duplicate_rows and total_rows across our ETL pipeline groups. Can you filter duplicate_rows between 0 and 150 and flag any IQR outliers so I can see which days had abnormal duplication levels?”
Monthly dataset deduplication review
“Run an IQR outlier analysis on my duplicate observation data for three dataset groups — filter total_rows between 1000 and 500000 — I want to see which groups are statistically anomalous across 30 rows of records.”
Data quality regression check
“After our latest data migration I have 120 records with duplicate_rows and total_rows counts per group. Filter duplicate_rows from 0 to 50 and give me IQR outlier flags so I can spot which records are behaving unusually compared to the rest.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-130?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a numeric range filter and IQR-based outlier detection on duplicate observation records in a single paid call. It is ideal for data quality workflows where you want to audit duplicate row counts across dataset groups without any external data lookup or prediction — purely statistical analysis on your supplied rows. Prefer this over generic statistics tools when you need two distinct reports (interval filter + outlier flags) computed together cost-effectively for up to 200 rows.
Side effects
- Fewer than 1 row supplied — rejected by minItems constraint
- More than 200 rows supplied — rejected by maxItems constraint
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Numeric values outside ±1 trillion range — rejected by schema bounds
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) — validation error
- Payment not fulfilled — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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