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Travel Administration IQR Outlier Flags + Explicit Missing-Value Fill
x402
Travel Administration IQR Outlier Flags + Explicit Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-28).
Detects IQR-based outliers and fills missing values in travel administration records (trip_count, recorded_cost) for up to 200 rows, producing two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Travel administration — IQR outlier flags + Explicit missing-value fill: IQR outlier flags + Explicit missing-value fill 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 independent analytical reports: (1) an IQR outlier flags report marking which rows contain statistically extreme values for the specified field, and (2) an explicit missing-value fill report showing where nulls were replaced using the chosen method (zero, mean, or median). Results are computed locally with no external lookups.
Example use cases
Corporate travel expense audit
“I have 120 rows of corporate travel data with trip_count and recorded_cost per team group — can you flag any statistical outliers using IQR and fill in any missing recorded_cost values using the mean?”
Monthly travel report data cleanup
“Before I generate our monthly travel report, can you run IQR outlier detection on our 80-row dataset and fill any null trip_count entries with the median so the numbers are clean?”
Team travel anomaly detection
“I need to identify suspicious trip counts and costs across our regional teams — can you flag IQR-based outliers and use zero-fill for any missing recorded_cost values across these 60 travel records?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-14-180?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have travel administration tabular data (up to 200 rows) with trip_count and/or recorded_cost fields that need both statistical outlier detection (IQR-based) and missing value imputation in a single low-cost call. Ideal for pre-processing travel expense datasets before reporting or further analysis, when no live data lookup, ML prediction, or external enrichment is needed.
Side effects
- Exceeding 200 rows returns a validation error
- Invalid date format (not YYYY-MM-DD) causes rejection
- Missing required fields (row_id, team_group, date, trip_count, recorded_cost) cause schema validation failure
- Numeric values outside ±1,000,000,000,000 are rejected
- Invalid method enum value (not zero/mean/median) returns error
- Invalid field enum value (not trip_count/recorded_cost) returns error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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