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Data Reconciliation — Numeric Interval Filter + IQR Outlier Flags
x402
Data Reconciliation — 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 2026-10-19).
Filters data reconciliation rows by a numeric interval and flags IQR-based outliers across source_total and target_total fields, producing two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Numeric interval filter + IQR outlier flags: Numeric interval filter + IQR outlier flags for supplied data reconciliation records (source_total, target_total). 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: one showing which rows fall within the specified numeric interval for the chosen field, and one flagging rows whose values are IQR-based outliers. Each report covers up to 200 input reconciliation rows identified by row_id, dataset_group, and date.
Example use cases
ETL pipeline source-target discrepancy check
“I have 150 reconciliation rows from our ETL pipeline with source_total and target_total figures for October 2026 across two dataset groups. Filter source_total between 0 and 500 and flag any IQR outliers so I can see which rows are anomalous.”
Monthly finance data quality review
“Can you run IQR outlier detection on my monthly finance reconciliation records? I've got source_total and target_total per row for November 2025 — filter target_total between -1000 and 50000 and tell me which rows are statistical outliers.”
Data migration validation outlier scan
“We just migrated data and I need to validate the reconciliation records — about 80 rows, each with a row_id, date, group, source_total and target_total. Filter source_total from 10 to 200 and flag any IQR outliers in the source_total column.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-130?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both interval-based filtering AND IQR outlier flagging on data reconciliation records (source_total vs target_total) in a single low-cost call. It is purpose-built for reconciliation data with paired source/target totals, grouped by dataset_group and date, and returns two independent analytical reports at once for $0.01 USDC per call for up to 200 rows. Prefer alternatives if you need external data lookup, time-series forecasting, or reconciliation logic beyond interval filtering and IQR statistics.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, dataset_group, date, source_total, target_total) — validation error
- Date format not matching YYYY-MM-DD pattern — schema validation failure
- Minimum greater than maximum — invalid interval, undefined filter behavior
- Numeric values outside ±1,000,000,000,000 — schema rejection
- Empty rows array — minItems:1 violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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