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Travel Administration Data Quality Suite (Audit + Dedup + Trailing Mean)
x402
Travel Administration Data Quality Suite (Audit + Dedup + Trailing Mean) is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Runs three analytical reports on travel administration records: record quality audit, exact row deduplication, and trailing mean time series — all in a single call for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Travel administration — Record quality audit + Exact row deduplication + Trailing mean series: Record quality audit + Exact row deduplication + Trailing mean series for supplied travel administration records (trip_count, recorded_cost). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent reports: (1) a record quality audit flagging missing, null, or malformed values per row; (2) an exact row deduplication report identifying identical records; and (3) a trailing mean time series computed over the specified numeric field (trip_count or recorded_cost) using the given window size — all derived from the submitted rows with no external data lookups.
Example use cases
Corporate travel expense data cleanup
“I have 150 rows of corporate travel records with team_group, date, trip_count, and recorded_cost — can you audit them for quality issues, flag any exact duplicate rows, and give me a trailing mean over 4 periods on recorded_cost?”
Monthly trip volume trend analysis
“Run a trailing mean series with a window of 5 on the trip_count field across my travel administration records, and also flag any duplicates and data quality problems while you're at it.”
Pre-reporting travel data validation
“Before I send this travel dataset to finance, can you do a full quality audit, deduplicate any identical rows, and compute a trailing mean on trip_count with a window of 2 — the data has about 80 rows covering multiple team groups?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-14-216?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical operations — quality audit, deduplication, and rolling mean — on travel administration data (trip counts and costs) in a single low-cost call. It is ideal for pre-processing or validating travel expense datasets before reporting or further analysis, especially when working with small-to-medium datasets (up to 200 rows) and no external enrichment or live data is needed.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, trip_count, recorded_cost) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Window size outside range 2–200 returns an error
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array fails minItems:1 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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