{"uid":"cap_dc8WhiEDZIUKrRTDH0NuB","slug":"fleet-fuel-records-string-normalisation-fec77d18","name":"Fleet Fuel Records String Normalisation","description":"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.","url":"https://market.datapackvibe.com/x402/assistant-ar-analytics-fleet-fuel-records-normalise?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","vehicle","date","distance_km","fuel_litres"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"vehicle":{"type":"string","default":"","maxLength":80},"distance_km":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"fuel_litres":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","vehicle":"group-a","distance_km":10,"fuel_litres":1},{"date":"2026-10-02","row_id":"row-2","vehicle":"group-b","distance_km":20,"fuel_litres":2},{"date":"2026-10-03","row_id":"row-3","vehicle":"group-a","distance_km":15,"fuel_litres":3},{"date":"2026-10-04","row_id":"row-4","vehicle":"group-b","distance_km":30,"fuel_litres":4}],"maxItems":200,"minItems":1}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_OsQQTRnPabKG_aoLlvdxA","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Normalises string fields (vehicle names, dates) across up to 200 fleet fuel records and returns a local descriptive analytics report.","exampleAgentPrompt":"Can you normalise the string fields in these fleet fuel records — I've got 4 rows with vehicles 'group-a' and 'group-b', dates like 2026-10-01, distances in km and fuel in litres — and give me a descriptive analytics report on the cleaned data?","exampleUseCases":[{"title":"Clean inconsistent vehicle labels in fuel logs","prompt":"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?"},{"title":"Pre-process fuel data before dashboard import","prompt":"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?"},{"title":"Audit fuel record string quality for operations team","prompt":"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?"}],"resultDescription":"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.","failureModes":["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"],"whenToPreferThis":"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.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T19:12:49.796Z","isFirstParty":false,"canonicalSlug":"fleet-fuel-records-string-normalisation-fec77d18"}