{"uid":"cap_0JywIdKb6LcDHN3TQirKz","slug":"transport-ridership-record-quality-audit-and-numeric-distribution-9b80289c","name":"Transport Ridership Record Quality Audit and Numeric Distribution","description":"Transport ridership — Record quality audit + Numeric distribution: Record quality audit + Numeric distribution 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-05-004?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_8w3b958NemES81C981rfF","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":"Runs two analytical reports on up to 200 transport ridership rows: a record quality audit and a numeric distribution analysis for passenger_count or service_count.","exampleAgentPrompt":"Can you run a record quality audit and numeric distribution report on my transport ridership data — here are 150 rows with row_id, region, date, passenger_count, and service_count — analyze the passenger_count field?","exampleUseCases":[{"title":"Transit data quality check before reporting","prompt":"I have 180 rows of daily ridership records for our regional bus network with passenger_count and service_count values — can you audit them for data quality issues and show me the numeric distribution of passenger_count so I can clean up the dataset before I submit the monthly report?"},{"title":"Detecting anomalies in service count data","prompt":"We just pulled 90 rows of transit service logs across three regions and I'm worried some service_count entries might be null or out of range — run a quality audit and numeric distribution on the service_count field so I can spot any anomalies."},{"title":"Validating ridership records from a new data feed","prompt":"Our new data provider sent over 200 rows of ridership data and I need to verify quality before we ingest it — please run a record quality audit and numeric distribution on the passenger_count column and tell me what you find."}],"resultDescription":"Returns two reports for the submitted ridership rows: (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed dates/regions; and (2) a numeric distribution analysis of the selected field (passenger_count or service_count), including statistical summaries like min, max, mean, percentiles, or frequency buckets. No external data is fetched — analysis is performed locally on the supplied rows only.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, region, date, passenger_count, service_count) cause schema rejection","Invalid date format (not YYYY-MM-DD) triggers a pattern validation error","Numeric values outside the allowed range (-1e12 to 1e12) are rejected","Empty rows array returns an error due to minItems:1 constraint","Specifying an invalid field enum value other than passenger_count or service_count fails validation"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of transport ridership data and need both a data quality audit and a numeric distribution summary in a single call at low cost ($0.01 USDC). It is ideal for pre-ingestion validation, data cleaning pipelines, or periodic sanity checks on transit datasets. It does not perform live lookups, predictions, or external data enrichment — use it strictly for offline analysis of supplied records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:31:10.033Z","isFirstParty":false,"canonicalSlug":"transport-ridership-record-quality-audit-and-numeric-distribution-9b80289c"}