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Travel Administration Daily Sum Series and Date-by-Category Pivot
x402
Travel Administration Daily Sum Series and Date-by-Category Pivot 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).
Computes a daily sum time series and a date-by-category pivot table for travel administration records (trip_count or recorded_cost) from up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Travel administration — Daily sum series + Date by category pivot: Daily sum series + Date by category pivot 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) a daily sum time series showing the total of the selected field (trip_count or recorded_cost) aggregated by date across all rows, and (2) a date-by-category pivot table showing the selected field's totals broken down by date and team_group. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Monthly team travel cost summary
“I've got 150 rows of corporate travel records with dates, team groups, and recorded costs — can you give me a daily sum series and a pivot table of recorded_cost broken down by team group and date so I can see which teams are spending the most each day?”
Trip volume trend by department
“Here are our travel administration records for Q3 — about 180 rows with trip_count and team_group by date. Can you generate the daily sum series and a date-by-category pivot for trip_count so I can spot which departments are traveling most on which days?”
Finance audit of daily travel spend
“I need to audit our travel spend — I have 200 rows of records with date, team_group, and recorded_cost. Please run a daily sum series and a date-by-category pivot on recorded_cost so I can verify the totals day by day per team.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-14-143?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a daily aggregated time series AND a date-by-category pivot in a single API call for travel administration data (trip_count or recorded_cost), with up to 200 rows of supplied data, at a low flat cost of $0.01 USDC for both reports combined. Ideal for offline or batch analytical scenarios where data is already collected and no live lookups, predictions, or external enrichment are needed.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, team_group, date, trip_count, recorded_cost) on any row — validation error
- Date values not matching YYYY-MM-DD pattern — schema validation failure
- Invalid field selector (not 'trip_count' or 'recorded_cost') — enum validation error
- Empty rows array — minimum items constraint violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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