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Travel Administration — Category Frequencies + IQR Outlier Flags
x402
Travel Administration — Category Frequencies + 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 2026-10-25).
Computes category frequencies and IQR-based outlier flags for travel administration records (trip_count, recorded_cost) across up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Travel administration — Category frequencies + IQR outlier flags: Category frequencies + IQR outlier flags 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
Returns two independent reports: (1) category frequency counts showing how often each team_group appears in the dataset, and (2) IQR outlier flags for the selected numeric field (trip_count or recorded_cost), indicating which rows fall beyond 1.5× the interquartile range. No live lookups or external data are used — analysis is performed entirely on the supplied rows.
Example use cases
Expense audit for travel team
“I have 50 rows of travel records from our ops team — can you run a frequency breakdown by team_group and flag any recorded_cost values that are IQR outliers? I want to catch any unusual expense entries before we close the books.”
Trip count anomaly detection
“Here's our monthly travel data across 4 team groups with dates and trip counts — please compute category frequencies and use IQR outlier detection on trip_count so I can see which entries look statistically abnormal.”
Cross-team travel pattern summary
“We have travel administration records for groups alpha, beta, and gamma over the past quarter. Can you give me a frequency count of entries per team and flag any trip_count outliers beyond 1.5 times the IQR?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-14-107?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a category frequency summary and IQR-based outlier detection on travel administration records in a single $0.01 call covering up to 200 rows. Prefer it over generic statistics APIs when your data has the specific travel schema (trip_count, recorded_cost, team_group) and you want two bundled reports without external lookups or predictions.
Side effects
- Fewer than 1 row supplied — minimum row count not met
- More than 200 rows supplied — exceeds maximum row limit
- Missing required fields (row_id, team_group, date, trip_count, recorded_cost) in any row
- Invalid date format (must be YYYY-MM-DD)
- Invalid field enum value (must be 'trip_count' or 'recorded_cost')
- All numeric values are null — IQR cannot be computed
- row_id or team_group exceeds 80-character limit
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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