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Travel Administration String Normalisation and Missing Value Fill
x402
Travel Administration String Normalisation and Missing Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-29).
Normalises strings and fills missing values (zero, mean, or median) in travel administration records (trip_count, recorded_cost) for up to 200 rows, returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Travel administration — String normalisation + Explicit missing-value fill: String normalisation + Explicit missing-value fill 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 2 independent analytical reports covering the up-to-200 submitted rows: one with string-normalised values and one with explicit missing-value fills applied to the specified field (trip_count or recorded_cost) using the chosen method (zero, mean, or median).
Example use cases
Fix null trip counts for monthly report
“I have 80 rows of travel admin data for October with some missing trip_count values — can you fill those nulls using the median and normalise the strings so the report is clean?”
Impute missing travel costs with zero
“Our travel records have blank recorded_cost entries for some teams. Fill those missing values with zero and normalise the string fields across all 120 rows.”
Prepare team travel data using mean fill
“I need to prep our travel administration dataset — 200 rows with team_group and date — by normalising strings and filling any missing recorded_cost values using the mean. Can you run both reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-14-037?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have travel administration records (trip_count, recorded_cost) with missing numeric values and need offline, local imputation (zero, mean, or median fill) plus string normalisation in a single low-cost call. Ideal for pre-reporting data cleaning on batches up to 200 rows without needing live lookups or external data sources.
Side effects
- More than 200 rows submitted — request exceeds row limit
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Missing required fields (row_id, team_group, date) triggers input rejection
- Numeric values outside allowed range (±1 trillion) rejected
- Invalid method enum value (not zero/mean/median) causes error
- Empty rows array rejected (minItems: 1)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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