{"uid":"cap_kQ_uHSq8Lr3YAAg5C5YBU","slug":"transport-ridership-duplicate-key-report-numeric-row-ordering-7dbfabd7","name":"Transport Ridership — Duplicate Key Report + Numeric Row Ordering","description":"Transport ridership — Duplicate key report + Numeric row ordering: Duplicate key report + 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-05-058?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_OavDybOUxh94vaVoM0iD2","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":"Analyzes up to 200 transport ridership records to produce a duplicate key report and a numeric row ordering report for passenger_count or service_count fields.","exampleAgentPrompt":"Can you run a duplicate key check and numeric row ordering on my transit ridership data — here are 50 rows with row_id, region, date, passenger_count, and service_count — and sort by passenger_count?","exampleUseCases":[{"title":"Transit data quality audit","prompt":"I have 120 rows of bus ridership records with row_id, region, date, passenger_count, and service_count — can you check them for duplicate row IDs and also give me a numeric ordering by passenger_count?"},{"title":"Service count ranking for regional planning","prompt":"Here are 80 transport ridership records across multiple regions. Can you order them numerically by service_count and flag any duplicate keys in the dataset?"},{"title":"Pre-import ridership data validation","prompt":"Before I import these 200 transit ridership rows into our database, can you run a duplicate key report and rank the rows by passenger_count so I can spot anomalies?"}],"resultDescription":"Two analytical reports: (1) a duplicate key report identifying row_ids that appear more than once in the submitted dataset, and (2) a numeric row ordering report that ranks all submitted rows by the chosen field (passenger_count or service_count), all computed locally without external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, region, date, passenger_count, service_count) causes 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 (minItems:1 not met) returns an error"],"whenToPreferThis":"Choose this endpoint when you need both duplicate key detection and numeric ordering of transport ridership data in a single call for up to 200 rows. It is ideal for pre-processing or auditing transit datasets before ingestion, without requiring any external data sources or live lookups. Prefer it over general-purpose data tools when you want a cost-effective, deterministic, offline analysis of ridership records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:36:57.868Z","isFirstParty":false,"canonicalSlug":"transport-ridership-duplicate-key-report-numeric-row-ordering-7dbfabd7"}