{"uid":"cap_Fh2cq1XecoFUMoYPbnxwW","slug":"transport-ridership-numeric-distribution-missing-value-fill-75305150","name":"Transport Ridership Numeric Distribution & Missing-Value Fill","description":"Transport ridership — Numeric distribution + Explicit missing-value fill: Numeric distribution + 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-05-085?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_5D6ocHjX-ZQfj2hgleLHW","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":"Computes numeric distribution statistics and fills missing values (zero, mean, or median) for transport ridership records (passenger_count, service_count) across up to 200 rows.","exampleAgentPrompt":"Analyze the numeric distribution of passenger_count and fill any missing values using median imputation for these transit records — I have 50 rows covering regions A and B from October 2026.","exampleUseCases":[{"title":"Transit agency ridership data cleaning","prompt":"I have 120 rows of bus ridership data with some null passenger_count entries — can you fill those missing values using median and also give me the numeric distribution of passenger_count across all rows?"},{"title":"Regional service count distribution analysis","prompt":"Run a numeric distribution report on service_count for my subway ridership dataset across the Northeast region, and fill any missing service_count values with the mean — I've got about 80 rows dated between January and March 2025."},{"title":"Zero-fill missing entries for reporting","prompt":"My transit data has gaps in the passenger_count field and I need to zero-fill them before generating my monthly report — can you process these 35 rows and also show me the distribution of passenger counts?"}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution report showing statistical spread of the selected field (e.g. min, max, mean, median, percentiles), and (2) a missing-value fill report with imputed values substituted for nulls using the chosen method (zero, mean, or median). Both reports cover the same up to 200 supplied rows.","failureModes":["Exceeds 200 row limit — request rejected","Invalid date format (must be YYYY-MM-DD) — validation error","Missing required fields (row_id, region, date) — schema validation failure","Values outside numeric range ±1,000,000,000,000 — rejected","Empty rows array — error returned","Invalid fill method or field enum value — rejected"],"whenToPreferThis":"Choose this endpoint when you have tabular transport ridership data (passenger_count and/or service_count) with potential missing values and need both a distribution summary and imputed fill values in a single call. It is ideal for data cleaning pipelines before transit reporting or further analysis, where you need offline, deterministic statistical computation without external lookups or predictions. Best suited for batch sizes up to 200 rows at very low cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:31:23.987Z","isFirstParty":false,"canonicalSlug":"transport-ridership-numeric-distribution-missing-value-fill-75305150"}