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Duplicate Observations — Base-100 Series + IQR Outlier Flags
x402
Duplicate Observations — Base-100 Series + 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 2026-10-14).
Computes a Base-100 indexed time series and IQR-based outlier flags for duplicate_rows and total_rows metrics across up to 200 supplied data records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Base-100 series + IQR outlier flags: Base-100 series + 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 Base-100 normalized time series for the selected field (duplicate_rows or total_rows) anchored to the specified base_index record, and (2) IQR-based outlier flags identifying which records fall outside the interquartile range — both computed locally from the supplied data with no external lookups.
Example use cases
Data pipeline duplicate rate monitoring
“I have a week's worth of daily duplicate row counts across two dataset groups — can you normalize them to a base-100 series starting from day 1 and flag any days where the duplicate_rows value is an IQR outlier?”
Comparing total rows across dataset groups
“Run me a base-100 analysis on my total_rows field for these 10 records across three dataset groups, with base index at position 0, and tell me which records are statistical outliers.”
Data quality audit for ingestion pipeline
“I need to audit our ingestion pipeline for duplicate issues — here are 50 daily records with duplicate_rows and total_rows counts. Can you index the duplicate_rows values to base 100 and highlight any IQR outliers so I know which days had abnormal duplication?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-164?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected duplicate observation records (up to 200 rows) with date, group, duplicate_rows, and total_rows fields and need both a normalized trend view (Base-100) and statistical outlier detection (IQR) in a single low-cost call. It is ideal for data quality monitoring workflows, ingestion pipeline audits, and time series comparison across dataset groups where no external data, live lookups, or predictions are needed.
Side effects
- Fewer than 1 row supplied — minItems validation failure
- More than 200 rows supplied — maxItems exceeded
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) — schema validation error
- Invalid date format (not YYYY-MM-DD) — pattern mismatch
- base_index out of range (must be 0–199 and within row count) — validation error
- All values null or identical — IQR computation may produce degenerate results
- Payment not included or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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