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Travel Administration Duplicate Key Report & Numeric Row Ordering
x402
Travel Administration Duplicate Key Report & Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).
Identifies duplicate keys and applies numeric row ordering to supplied travel administration records (trip_count, recorded_cost) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Travel administration — Duplicate key report + Numeric row ordering: Duplicate key report + Numeric row ordering 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 independent reports: (1) a duplicate key report identifying any rows sharing the same key within the supplied dataset, and (2) a numeric row ordering ranked by the chosen field (trip_count or recorded_cost). No external data is fetched; analysis is performed entirely on the supplied rows.
Example use cases
Audit team travel data for duplicates
“I have a spreadsheet of team travel records with row IDs, team groups, dates, trip counts, and recorded costs — can you run a duplicate key report on it to find any repeated row IDs?”
Rank travel records by cost
“Take these 50 travel administration rows and order them numerically by recorded_cost so I can see which team groups are spending the most.”
Pre-import data quality check
“Before I import this travel data into our system, can you check it for duplicate row keys and give me a numeric ranking by trip_count so I know if anything looks off?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-14-058?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a duplicate key audit and a numeric ordering report on travel administration records in a single low-cost call. It is best suited for pre-import data quality checks, periodic travel data audits, or ranking team travel records by cost or trip volume — all without requiring any external lookups or live data access.
Side effects
- Fewer than 1 row supplied returns a validation error
- More than 200 rows submitted exceeds the row limit
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Missing required fields (row_id, team_group, date, trip_count, recorded_cost) cause rejection
- Non-numeric values in trip_count or recorded_cost fail type validation
- Invalid field selector (not 'trip_count' or 'recorded_cost') returns an enum error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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