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Travel Administration — Two-Measure Correlation + Secondary-Measure Weighted Mean
x402
Travel Administration — Two-Measure Correlation + 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 2026-10-29).
Computes Pearson correlation between trip_count and recorded_cost, plus a weighted mean of a selected secondary measure, across up to 200 travel administration records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Travel administration — Two-measure correlation + Secondary-measure weighted mean: Two-measure correlation + 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 analytical reports: (1) a Pearson correlation coefficient between the trip_count and recorded_cost columns across all supplied rows, and (2) a weighted mean for the selected secondary measure field (trip_count or recorded_cost). All computation is local with no external lookups or predictions.
Example use cases
Team travel cost-volume relationship
“I have travel records for three teams over the past quarter — each row has a date, team name, number of trips, and the recorded cost. Can you compute the Pearson correlation between trip_count and recorded_cost, and also give me the weighted mean of trip_count? Here are the rows: team-alpha had 12 trips at $600 on 2024-03-01, team-beta had 25 trips at $1100 on 2024-03-02, team-gamma had 8 trips at $420 on 2024-03-03.”
Department spend weighted average check
“I want to understand the weighted mean of recorded_cost across our department travel logs from last month. I also want to know how strongly trip volume correlates with cost. Here are my rows: dept-ops took 30 trips costing $1500 on 2024-02-10, dept-sales took 45 trips costing $2200 on 2024-02-11, dept-eng took 20 trips costing $950 on 2024-02-12. Use recorded_cost as the secondary measure field.”
Quarterly travel analytics summary
“Can you calculate the correlation between the number of trips and travel costs for our quarterly data, and also give me the weighted mean of trip_count? Rows: row-1 group-a 2024-01-15 50 trips $2500, row-2 group-b 2024-01-16 35 trips $1800, row-3 group-a 2024-01-17 60 trips $3100, row-4 group-b 2024-01-18 28 trips $1400.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-14-181?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 travel administration records with trip counts and costs and need both a correlation coefficient and a weighted mean in a single cheap ($0.01 USDC) call, with no need for live data, predictions, or external enrichment. It is ideal for lightweight, self-contained statistical reporting on local datasets where you want two distinct analytical outputs in one request.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, date, trip_count, recorded_cost) cause validation errors
- Null values in both measure columns may produce undefined correlation
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Insufficient variance in one measure may yield correlation of NaN or undefined
- Invalid enum value for 'field' parameter causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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