{"uid":"cap_CiunuVZ6paeM1g2fvQa6b","slug":"transport-ridership-record-quality-audit-keyed-dataset-comparison-6197e114","name":"Transport Ridership Record Quality Audit + Keyed Dataset Comparison","description":"Transport ridership — Record quality audit + Keyed dataset comparison: Record quality audit + Keyed dataset comparison 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-05-018?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}$","maxLength":10},"region":{"type":"string","default":"","maxLength":80},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"service_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"passenger_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","region":"group-a","row_id":"row-1","service_count":1,"passenger_count":10},{"date":"2026-10-02","region":"group-b","row_id":"row-2","service_count":2,"passenger_count":20},{"date":"2026-10-03","region":"group-a","row_id":"row-3","service_count":3,"passenger_count":15},{"date":"2026-10-04","region":"group-b","row_id":"row-4","service_count":4,"passenger_count":30}],"maxItems":200,"minItems":1},"other":{"type":"array","items":{"type":"object","required":["row_id","region","date","passenger_count","service_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21},{"date":"2026-10-03","region":"group-a","row_id":"row-3","service_count":3,"passenger_count":17},{"date":"2026-10-04","region":"group-b","row_id":"row-4","service_count":4,"passenger_count":33}],"maxItems":200,"minItems":0}}},"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_m6TsY6hvJeVDFV05II8On","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":"Performs a record quality audit and keyed dataset comparison on up to 200 rows of transport ridership data (passenger_count, service_count), returning two independent analytical reports.","exampleAgentPrompt":"Can you run a record quality audit and compare these two sets of ridership data? I have two datasets with up to 50 rows each — both have row_id, region, date, passenger_count, and service_count — and I want to see a quality report on the first set plus a side-by-side comparison of where the two datasets differ by key.","exampleUseCases":[{"title":"Pre-analysis ridership data cleanse","prompt":"Before I run my monthly transit report, can you audit this batch of 80 ridership records for quality issues? Each row has a row_id, region, date, passenger_count, and service_count — flag anything that looks wrong or missing."},{"title":"Reconcile two ridership data pulls","prompt":"I have two exports of the same ridership dataset from different systems — about 120 rows each with row_id, region, date, passenger_count, and service_count. Can you compare them keyed by row_id and tell me which rows or fields differ between the two?"},{"title":"Validate updated ridership figures","prompt":"My team just updated the passenger_count and service_count figures for 60 routes. Can you do a quality audit on the new dataset and also compare it against the original version to show me exactly what changed row by row?"}],"resultDescription":"Two independent reports: (1) a record quality audit identifying issues such as nulls, out-of-range values, or malformed fields in the primary dataset; and (2) a keyed dataset comparison showing row-by-row and field-level differences between the primary and secondary datasets matched on row_id. Both reports are generated locally with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, region, date, passenger_count, service_count) causes schema rejection","Malformed date strings not matching YYYY-MM-DD pattern are rejected","row_id values exceeding 80 characters are rejected","Numeric values outside the allowed range (-1,000,000,000,000 to 1,000,000,000,000) are rejected","Empty rows array returns an error (minItems: 1)"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit and a keyed comparison of two transport ridership datasets in a single call at low cost ($0.01 USDC for both reports). It is ideal for reconciliation workflows between two versions of the same dataset, pre-analysis data validation, or spotting discrepancies introduced during data updates. It does not perform live lookups, predictions, or external enrichment — prefer it for pure offline analytical reporting on supplied data up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:31:04.788Z","isFirstParty":false,"canonicalSlug":"transport-ridership-record-quality-audit-keyed-dataset-comparison-6197e114"}