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Data Reconciliation — Daily Sum Series + IQR Outlier Flags
x402
Data Reconciliation — Daily Sum 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 2026-10-19).
Computes daily sum time series and flags IQR-based outliers for source_total and target_total reconciliation records supplied by the caller.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Daily sum series + IQR outlier flags: Daily sum series + 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: (1) a daily sum time series aggregating source_total or target_total values by date, and (2) IQR-based outlier flags identifying which rows or dates fall outside the interquartile range — all computed locally from the supplied rows without any external lookups.
Example use cases
ETL pipeline reconciliation audit
“I have daily reconciliation records from our ETL pipeline with source_total and target_total for two dataset groups over the past month — can you compute the daily sum series and flag any IQR outliers in source_total so I can see which days had anomalous values?”
Finance data discrepancy detection
“Here are 150 rows of financial reconciliation data by date with source_total and target_total columns — run the daily sum aggregation and IQR outlier detection on target_total so I can identify which days show unusual discrepancies.”
Data warehouse validation check
“I'm validating data loads across two groups in our warehouse. Can you take these reconciliation records and produce a daily sum time series plus flag any outliers using the IQR method on the source_total field?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-140?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, local analytical computation over a modest batch of reconciliation records (up to 200 rows) to produce both a daily sum time series and IQR outlier flags in a single call at minimal cost ($0.01 USDC for 2 reports). Ideal for ETL auditing, data quality checks, and reconciliation validation workflows where no external data access or predictions are needed.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows submitted — exceeds maximum batch size
- 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
- source_total or target_total values outside ±1,000,000,000,000 range — validation error
- Invalid field enum value (not 'source_total' or 'target_total') — rejected
- All null values in selected field — IQR computation not possible
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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