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Travel Administration — Numeric Interval Filter + Trailing Mean Series
x402
Travel Administration — Numeric Interval Filter + 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 2026-10-25).
Filters travel administration records by a numeric interval and computes a trailing mean time series, returning two analytical reports from user-supplied data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Travel administration — Numeric interval filter + Trailing mean series: Numeric interval filter + 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) rows from the supplied dataset whose selected numeric field (trip_count or recorded_cost) falls within the specified [minimum, maximum] interval, and (2) a trailing mean time series computed over the specified rolling window for that field — both derived purely from the uploaded rows without any external data lookup.
Example use cases
Corporate travel cost range analysis
“I have our team's monthly travel records and I need to filter out any rows where recorded_cost is outside the range of 100 to 5000, and also show me a trailing mean over a window of 4 for recorded_cost so I can see the smoothed trend.”
Team group trip volume smoothing
“Can you take these 150 travel administration rows with trip_count and recorded_cost, filter to trip_count values between 10 and 200, and generate a trailing mean series with a window of 5 on trip_count so I can spot team travel patterns?”
Quarterly expense outlier banding
“I want to look at our Q3 travel data — filter rows where recorded_cost is between 500 and 8000 and run a rolling mean with window size 6 on recorded_cost. There are about 90 rows total across different team groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-14-126?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 travel administration records (with trip_count and recorded_cost) and need both a numeric interval filter and a trailing mean time series in a single $0.01 call. Prefer it over general analytics platforms when you want a lightweight, low-cost, self-contained computation on pre-supplied data without any external lookups or predictions. It is ideal for quick analytical passes on structured travel datasets where two complementary statistical views (range banding + rolling average smoothing) are needed simultaneously.
Side effects
- Fewer than 1 row provided — request rejected
- More than 200 rows supplied — exceeds row cap
- Window size larger than number of rows — trailing mean may be undefined or empty
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Missing required fields (row_id, date, trip_count, recorded_cost) in any row — validation failure
- minimum greater than maximum — filter returns empty result set
- null numeric values in field selected for analysis — rows may be excluded from computations
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer | |
| maximum | number | |
| minimum | number |
Tags
x402
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