{"uid":"cap_Ba0c5TlfXXXYyH5W1Q3GH","slug":"transport-ridership-data-quality-audit-string-normalisation-numeric-7c761fd6","name":"Transport Ridership Data Quality Audit, String Normalisation & Numeric Row Ordering","description":"Transport ridership — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied transport ridership records (passenger_count, service_count). 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.","url":"https://market.datapackvibe.com/x402/assistant-ib26-economics-05-196?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","region","date","passenger_count","service_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"region":{"type":"string","default":"","maxLength":80},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"service_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"passenger_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","region":"group-a","row_id":"row-1","service_count":1,"passenger_count":10},{"date":"2026-10-02","region":"group-b","row_id":"row-2","service_count":2,"passenger_count":20},{"date":"2026-10-03","region":"group-a","row_id":"row-3","service_count":3,"passenger_count":15},{"date":"2026-10-04","region":"group-b","row_id":"row-4","service_count":4,"passenger_count":30}],"maxItems":200,"minItems":1},"field":{"enum":["passenger_count","service_count"],"type":"string","default":"passenger_count"}}},"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_iDbvtL5opy2CuBbKm71Ca","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":"Audits record quality, normalises strings, and orders rows numerically for transport ridership datasets containing passenger and service counts (up to 200 rows, 3 reports per call).","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and numeric row ordering on my transport ridership data? I have 12 rows with columns for region, date, passenger_count, and service_count — please sort by passenger_count.","exampleUseCases":[{"title":"Pre-analysis ridership data cleanup","prompt":"I have a CSV of weekly bus ridership records across 8 regions — can you audit the data quality, normalise the region name strings, and sort all rows by passenger_count before I run my analysis?"},{"title":"Detecting bad records in transit feeds","prompt":"Our automated transit feed dumped 150 rows into our system and some look malformed. Can you run a quality audit on these passenger_count and service_count records, normalise the region labels, and give me a numeric ordering by service_count?"},{"title":"Monthly transit reporting data validation","prompt":"Before we publish our monthly transport ridership report, can you check these 80 rows for quality issues, clean up any inconsistent region strings, and order them numerically by passenger_count so the table is ready to go?"}],"resultDescription":"Three independent analytical reports per call: (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed dates; (2) a string normalisation report for region and other text fields; and (3) a numeric row ordering report sorting rows by the specified field (passenger_count or service_count). All analysis is performed locally on the supplied data with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, region, date, passenger_count, service_count) causes rejection","Invalid date format (non-YYYY-MM-DD) triggers a pattern validation failure","Numeric values outside ±1,000,000,000,000 are rejected","Empty rows array returns an error","Payment not fulfilled results in 402 response"],"whenToPreferThis":"Choose this endpoint when you need a fast, low-cost ($0.01 USDC) batch quality audit of transport ridership records combined with string normalisation and numeric ordering in a single call — especially when you have up to 200 rows with passenger_count and service_count fields and do not need live predictions, external lookups, or professional assessments.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:56:50.170Z","isFirstParty":false,"canonicalSlug":"transport-ridership-data-quality-audit-string-normalisation-numeric-7c761fd6"}