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Travel Administration Analytics — Category Frequencies & Trailing Mean Series
x402
Travel Administration Analytics — Category Frequencies & Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Computes category frequency distributions and trailing moving-average series 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 — Category frequencies + Trailing mean series: Category frequencies + Trailing mean series 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 category frequency table showing how often each team_group value appears across the supplied rows, and (2) a trailing moving-average series for the selected numeric field (trip_count or recorded_cost) computed over the specified window size. Both reports are derived entirely from the submitted data with no external lookups.
Example use cases
Team group travel frequency breakdown
“I have travel records for Q3 across several team groups. Can you compute how frequently each team_group appears and also calculate a rolling average of trip_count with a window of 3? Here's my data with row_id, team_group, date, and trip_count fields.”
Smoothing recorded travel costs over time
“I want to smooth out the recorded_cost figures in my travel administration dataset using a trailing mean with a window of 5. Can you also tell me how the team groups are distributed in the data? I'll provide up to 150 rows.”
Monthly travel operations trend analysis
“Can you take my monthly travel operations data — with trip_count and recorded_cost per team group — and give me both a category frequency count per team_group and a trailing moving average for recorded_cost using a window of 6?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-14-103?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two complementary offline analytical reports on travel administration records in a single call: a categorical frequency distribution by team_group and a smoothed time-series via trailing moving average. It is ideal for batch analysis of up to 200 rows of structured travel data without needing any external data sources, predictions, or live lookups. Prefer this over generic analytics tools when your data already conforms to the travel administration schema (trip_count, recorded_cost, team_group, date).
Side effects
- Fewer than 1 row supplied — minimum row count not met
- More than 200 rows supplied — exceeds maximum batch size
- Window size larger than number of rows — trailing mean cannot be computed
- Missing required fields (row_id, team_group, date, trip_count, recorded_cost) in any row
- Date field does not match YYYY-MM-DD pattern — validation error
- Numeric fields outside allowed range (-1e12 to 1e12) — rejected
- Invalid field enum value (must be 'trip_count' or 'recorded_cost')
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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