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Travel Administration IQR Outlier Flags + Keyed Dataset Comparison
x402
Travel Administration IQR Outlier Flags + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Runs IQR-based outlier detection and keyed dataset comparison on travel administration records (trip_count, recorded_cost) for up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Travel administration — IQR outlier flags + Keyed dataset comparison: IQR outlier flags + Keyed dataset comparison for supplied travel administration records (trip_count, recorded_cost). 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
Two analytical reports: (1) IQR outlier flags identifying which rows have trip_count or recorded_cost values outside the interquartile range bounds, and (2) a keyed dataset comparison highlighting differences between the two supplied datasets matched by row_id.
Example use cases
Expense anomaly detection for travel team
“I have two months of travel records for our teams — each row has a row_id, team_group, date, trip_count, and recorded_cost. Can you flag any IQR outliers in recorded_cost and also compare this month's data against last month's keyed by row_id to see what changed?”
Auditing trip count anomalies by group
“Run an IQR outlier check on the trip_count field across these 150 travel records grouped by team, and also do a keyed comparison against our baseline dataset to highlight any discrepancies.”
Before-and-after travel data reconciliation
“We updated our travel administration records and I need to know which rows changed — please compare the old and new datasets using the keyed comparison report, and also flag any trip_count outliers using IQR in the new data.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-14-179?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have travel administration data (trip counts, recorded costs) and need both statistical outlier detection via IQR and a structured row-by-row comparison between two datasets in a single low-cost call. Ideal for auditing travel expense records, detecting anomalies, or reconciling updated datasets without needing external lookups or predictions.
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, date, trip_count, recorded_cost) cause validation errors
- Date field not matching YYYY-MM-DD pattern returns schema error
- Fewer than 1 row supplied causes minItems validation failure
- Null values in numeric fields may affect IQR calculation accuracy
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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