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Fleet Fuel Records String Normalisation
x402
Fleet Fuel Records String Normalisation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Normalises string fields (vehicle names, dates) across up to 200 fleet fuel records and returns a local descriptive analytics report.
Price / call$0.01
Success—
StatusUnknown
How this service works
Fleet fuel records - String normalisation: String normalisation for Fleet fuel records. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded string normalisation report.
Output
A bounded string normalisation report covering up to 200 fleet fuel records, including descriptive analytics on normalised vehicle names, standardised date strings, and summary statistics — all computed locally without external enrichment or forecasting.
Example use cases
Clean inconsistent vehicle labels in fuel logs
“My fleet fuel spreadsheet has vehicle names entered inconsistently — some say 'Truck A', others 'truck-a' or 'TRUCK A'. Can you normalise all the vehicle string fields across these 50 fuel records and give me a summary report?”
Pre-process fuel data before dashboard import
“Before I load our monthly fleet fuel data into the dashboard, I need the vehicle names and dates cleaned up and standardised. Here are 120 rows with row IDs, vehicle names, dates, distance in km, and fuel in litres — can you run string normalisation and return the analytics report?”
Audit fuel record string quality for operations team
“Our operations team needs to audit the quality of string fields in our fleet fuel records — can you normalise and report on these 30 entries covering vehicles like 'van-fleet-1' and 'van fleet 1' with dates and fuel amounts, so we can see where naming is inconsistent?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-fleet-fuel-records-normalise?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw fleet fuel records with inconsistent or messy string fields (vehicle names, identifiers, dates) and need a quick, cheap normalisation pass with local descriptive analytics — no internet enrichment, no forecasting, no external data lookups. Ideal for pre-processing before dashboard imports or downstream analysis pipelines, when you have up to 200 records and want a single bounded report for $0.01 USDC.
Side effects
- Fewer than 1 row provided returns a validation error
- More than 200 rows submitted exceeds the maxItems limit
- date fields not matching YYYY-MM-DD pattern are rejected
- row_id missing or empty triggers a required-field error
- distance_km or fuel_litres outside the allowed numeric range causes rejection
- Malformed JSON body returns a 400-level error
- Payment not provided or insufficient USDC causes a 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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