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Travel Administration IQR Outlier Flags + Secondary-Measure Weighted Mean
x402
Travel Administration IQR Outlier Flags + Secondary-Measure Weighted Mean 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).
Runs two local analytical reports on travel administration data: IQR-based outlier detection and secondary-measure weighted mean, for up to 200 rows of trip_count and recorded_cost records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Travel administration — IQR outlier flags + Secondary-measure weighted mean: IQR outlier flags + Secondary-measure weighted mean 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 analytical reports: (1) IQR outlier flags identifying which rows contain values outside the interquartile range for the selected field, and (2) a secondary-measure weighted mean computed across the supplied travel administration records. No external data is fetched; all computation is performed locally on the provided rows.
Example use cases
Expense anomaly detection for travel team
“I have 50 rows of corporate travel data with trip counts and costs per team group — can you flag any IQR outliers and give me the weighted mean on recorded_cost so I can spot which teams are overspending?”
Monthly travel audit statistical check
“Run IQR outlier detection and a weighted mean on trip_count for these 120 travel administration records from last month — the field I care most about is trip_count and I need to know which rows are statistical anomalies.”
Multi-team trip frequency analysis
“Here are 80 rows of travel records across our regional groups with dates, trip counts, and recorded costs — can you compute the secondary-measure weighted mean and flag any IQR outliers on the trip_count field?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-14-177?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both IQR-based outlier detection and a weighted mean computed together on travel administration records (trip counts and costs) in a single $0.01 call covering up to 200 rows. It is ideal for lightweight statistical audits of corporate travel datasets without needing a full analytics platform or external lookups. Prefer alternatives if you need more than 200 rows, predictions, real-time data enrichment, or domain-specific travel expertise.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, date, trip_count, or recorded_cost) — validation error
- Date field not in YYYY-MM-DD format — schema validation failure
- Invalid field enum value (not 'trip_count' or 'recorded_cost') — rejected
- All numeric values are null — unable to compute meaningful statistics
- Payment not included or insufficient — 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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