{"uid":"cap_fDOV-HpDgbg-HnyyU2XLX","slug":"transport-ridership-record-quality-audit-and-numeric-row-ordering-368ec0f7","name":"Transport Ridership Record Quality Audit and Numeric Row Ordering","description":"Transport ridership — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering for supplied transport ridership records (passenger_count, service_count). 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.","url":"https://market.datapackvibe.com/x402/assistant-ib26-economics-05-007?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_NT6TgE94Hez1vhIJLZSvc","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 transport ridership records for data quality issues and sorts rows numerically by a chosen metric (passenger_count or service_count), returning two independent analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit and numeric row ordering report on my transport ridership data? Here are my rows with row_id, region, date, passenger_count, and service_count — up to 50 rows — and I want the analysis focused on passenger_count.","exampleUseCases":[{"title":"Transit agency data quality check","prompt":"I have a batch of daily ridership records from three regions — each row has a row_id, region, date, passenger_count, and service_count. Can you audit them for quality issues and also sort them by passenger_count so I can see which days had the highest ridership?"},{"title":"Cleaning regional service count dataset","prompt":"Before I hand off this dataset to our reporting team, can you run a quality audit on these transport records and order them by service_count? I have about 120 rows with region, date, passenger_count, and service_count fields."},{"title":"Spotting bad rows in bus ridership exports","prompt":"I exported ridership data from our bus network — about 80 rows — and I want to check for any data quality problems in the passenger_count field and get the rows sorted numerically by that field. Can you run both reports?"}],"resultDescription":"Two independent reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed entries in the ridership rows; (2) a numeric row ordering of the supplied records ranked by the chosen field (passenger_count or service_count). Both reports are computed locally with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, region, date, passenger_count, or service_count) on any row causes validation failure","Invalid date format (not YYYY-MM-DD) triggers schema rejection","Field enum value not one of 'passenger_count' or 'service_count' causes error","Numeric values outside the allowed range (-1,000,000,000,000 to 1,000,000,000,000) rejected","Empty rows array rejected (minItems: 1)"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit and a numeric ordering of transport ridership records (passenger_count and service_count) in a single $0.01 call covering up to 200 rows. It is ideal for pre-processing or validation pipelines before downstream analysis, where no live lookups, predictions, or external data enrichment are needed — just local analytical assessment of supplied records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:32:09.589Z","isFirstParty":false,"canonicalSlug":"transport-ridership-record-quality-audit-and-numeric-row-ordering-368ec0f7"}