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Travel Administration Data Quality & Analytics — Record Audit, String Normalisation, Category Frequencies
x402
Travel Administration Data Quality & Analytics — Record Audit, String Normalisation, Category Frequencies is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-28).
Runs three analytical reports on up to 200 travel administration rows: a record quality audit, string normalisation, and category frequency counts for trip_count and recorded_cost fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Travel administration — Record quality audit + String normalisation + Category frequencies: Record quality audit + String normalisation + Category frequencies 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 analytical reports: (1) a record quality audit flagging nulls, out-of-range values, and malformed fields across all rows; (2) normalised versions of string fields like team_group; (3) category frequency counts showing how often each distinct value appears in the categorical fields of trip_count and recorded_cost. All computed locally from the supplied data with no external lookups.
Example use cases
Travel expense data quality review
“I've got 120 rows of travel expense records with team group names, dates, trip counts, and recorded costs — can you audit them for quality issues, normalise the team group strings, and give me frequency counts for each category?”
Finance team trip log validation
“Our finance team submitted 80 travel administration rows for October. Please check them for record quality problems, clean up any inconsistent string formatting, and show me how often each team_group appears in the dataset.”
Monthly travel analytics batch check
“Before I import these 200 travel administration records into our system, run the three-report analysis — quality audit, string normalisation, and category frequencies on trip_count and recorded_cost — so I can catch any issues first.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-14-195?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a combined data quality audit, string normalisation, and category frequency analysis on a small-to-medium travel administration dataset (up to 200 rows) in a single API call for a flat $0.01 USDC. It is ideal for pre-import validation, ad hoc data cleaning, and exploratory analytics on travel expense records without requiring a dedicated data pipeline or external data warehouse.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, team_group, date, trip_count, recorded_cost) causes validation error
- Malformed date strings not matching YYYY-MM-DD pattern rejected
- Numeric values outside ±1,000,000,000,000 range rejected
- Empty rows array returns error
- Payment failure via x402 protocol prevents execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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