{"uid":"cap_zOuUD4V_fDhpi_N32MChq","slug":"transport-ridership-numeric-row-ordering-explicit-missing-value-fill-724c8d48","name":"Transport Ridership — Numeric Row Ordering + Explicit Missing-Value Fill","description":"Transport ridership — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + Explicit missing-value fill 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-05-124?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_5t0SKo4FDvrV8fXWort0w","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":"Sorts transport ridership rows numerically and fills missing passenger_count or service_count values using zero, mean, or median imputation across up to 200 rows.","exampleAgentPrompt":"Sort these 50 transit ridership rows numerically and fill any missing passenger_count values using the median — here's my dataset with row_id, region, date, passenger_count, and service_count fields.","exampleUseCases":[{"title":"Clean gaps in daily bus ridership","prompt":"I have daily bus ridership records for two regions with some missing passenger_count entries — can you sort the rows numerically and fill the gaps using the median value?"},{"title":"Zero-fill missing service counts for reporting","prompt":"My transit service_count column has some nulls for the past quarter. Please order all 120 rows and replace the missing service_count values with zero so I can generate a clean report."},{"title":"Mean imputation before trend analysis","prompt":"Before I run a trend analysis, I need my 80 rows of ridership data sorted by row number and any missing passenger_count values filled in using the mean — can you do that?"}],"resultDescription":"Two analytical reports covering the supplied transport ridership records: one for numerically ordered rows and one for explicitly filled missing values in the chosen field (passenger_count or service_count). Results reflect only the supplied data with no external lookups or predictions.","failureModes":["Rows exceeding 200 items will be rejected","Rows missing required fields (row_id, region, date) will cause validation errors","Invalid date format (not YYYY-MM-DD) will fail schema validation","Numeric values outside ±1,000,000,000,000 range will be rejected","Invalid method enum value (not zero/mean/median) will cause an error","Invalid field enum value (not passenger_count/service_count) will cause an error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 transport ridership rows and need both numeric row ordering and missing-value imputation (zero, mean, or median) delivered as two bundled analytical reports in a single inexpensive call. Ideal for data-cleaning pipelines before downstream analysis of passenger or service count trends.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:37:16.619Z","isFirstParty":false,"canonicalSlug":"transport-ridership-numeric-row-ordering-explicit-missing-value-fill-724c8d48"}