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Duplicate Observations — Grouped Numeric Summary + IQR Outlier Flags
x402
Duplicate Observations — Grouped Numeric Summary + 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 2026-10-16).
Computes grouped numeric summary statistics and IQR-based outlier flags for up to 200 duplicate-observation records, analyzing either duplicate_rows or total_rows fields across dataset groups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Grouped numeric summary + IQR outlier flags: Grouped numeric summary + 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) a grouped numeric summary breaking down statistics (mean, median, min, max, quartiles, etc.) for the chosen field (duplicate_rows or total_rows) segmented by dataset_group, and (2) IQR-based outlier flags identifying which rows or groups fall outside the interquartile range. Both reports are computed locally on the supplied data with no external lookups.
Example use cases
Data quality audit per dataset group
“I have 80 records of duplicate-row observations across several dataset groups from last quarter — can you group them and give me a numeric summary plus flag any groups with IQR outliers in the duplicate_rows field so I know which datasets are the worst offenders?”
Monitoring total row count anomalies
“Here are 120 daily observations with total_rows counts across my ingestion groups — please run a grouped numeric summary and IQR outlier detection on the total_rows field so I can see which groups are behaving abnormally.”
Pre-pipeline duplicate density report
“Before I kick off my ETL, I want to understand the duplicate landscape — I've got 60 records with duplicate_rows and total_rows per dataset group and date, can you give me grouped stats and highlight any IQR outliers in duplicate_rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-094?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both grouped descriptive statistics and IQR outlier detection on duplicate-observation data in a single call, with up to 200 rows and two reports included in one fixed $0.01 USDC payment. Ideal for data quality pipelines and observability workflows where you want to characterize duplicate density across named dataset groups without building your own stats logic.
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Null values in the selected numeric field may reduce statistical accuracy
- Insufficient data points per group may produce unreliable IQR estimates
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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