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Data Reconciliation — IQR Outlier Flags + Two-Measure Correlation
x402
Data Reconciliation — IQR Outlier Flags + Two-Measure Correlation 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).
Runs two analytical reports on up to 200 data reconciliation rows: IQR-based outlier flagging on a selected field and Pearson/correlation analysis between source_total and target_total.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — IQR outlier flags + Two-measure correlation: IQR outlier flags + Two-measure correlation 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 independent analytical reports: (1) IQR outlier flags identifying which rows have source_total or target_total values beyond 1.5× the interquartile range, including the IQR bounds and flagged row IDs; (2) a two-measure correlation report showing the statistical relationship between source_total and target_total across all supplied rows.
Example use cases
Detect outlier rows in nightly reconciliation
“Here are 150 rows from last night's reconciliation run with source_total and target_total for each date and group — please flag any source_total values that fall outside the IQR range and also show me how correlated source_total and target_total are across the whole batch.”
Validate ETL pipeline output consistency
“I've got 80 rows from our ETL pipeline comparing source and target totals by dataset_group and date — can you flag any target_total outliers using IQR and tell me the correlation between source_total and target_total so I can see if they're moving together?”
Audit financial reconciliation for anomalies
“We have daily source and target financial totals for Q3 across two groups, about 90 rows total — please run the IQR outlier check on source_total and compute the correlation between source_total and target_total so we can spot any reconciliation issues.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-176?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both outlier detection and correlation analysis on the same reconciliation dataset in a single API call for a flat $0.01 USDC fee. It is ideal for data engineering, ETL validation, or finance teams checking source-vs-target consistency across up to 200 dated rows. Prefer this over separate single-report endpoints when you want both IQR flagging and correlation in one round-trip without external lookups or predictions.
Side effects
- More than 200 rows submitted — request exceeds maxItems limit and will be rejected
- Missing required fields (row_id, dataset_group, date, source_total, target_total) on any row causes validation failure
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- source_total or target_total values outside ±1,000,000,000,000 are rejected
- Too few rows (fewer than 1) causes an error; correlation may be unreliable with very small datasets
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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