{"uid":"cap__v2hDyvtplulo2pfeixMP","slug":"transport-ridership-numeric-distribution-date-by-category-pivot-5eb5bf5a","name":"Transport Ridership Numeric Distribution + Date by Category Pivot","description":"Transport ridership — Numeric distribution + Date by category pivot: Numeric distribution + Date by category pivot 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-05-083?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_CUnQYMaz1R4u3xCc0ryBU","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 local analytical reports on transport ridership data: a numeric distribution and a date-by-category pivot for passenger_count or service_count fields.","exampleAgentPrompt":"Can you run a numeric distribution and date-by-category pivot on my transport ridership data — here are up to 200 rows with row_id, region, date, passenger_count, and service_count — and analyze the passenger_count field?","exampleUseCases":[{"title":"Regional transit ridership breakdown","prompt":"I have daily ridership records for two bus regions over the past quarter — can you run a numeric distribution and date-by-category pivot on the passenger_count field so I can see how ridership is spread and how each region trended over time?"},{"title":"Service frequency distribution analysis","prompt":"Here are 150 rows of transit service data with region, date, and service_count — run both the numeric distribution and the date-by-category pivot on service_count so I can understand where service is concentrated and how it varies by region across dates."},{"title":"Multi-region ridership comparison","prompt":"I've got ridership records for group-a and group-b regions from October 2026, about 80 rows total — can you give me the numeric distribution and the date pivot for passenger_count so I can compare how the two regions performed day by day?"}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution of the selected field (passenger_count or service_count) showing statistical spread across the supplied rows, and (2) a date-by-category pivot table grouping the field values by date and region category — all computed locally from the provided data, no external lookups.","failureModes":["Missing required fields (row_id, region, date, passenger_count, service_count) cause validation errors","Date strings not matching YYYY-MM-DD pattern are rejected","Submitting more than 200 rows exceeds the maxItems limit","Submitting an empty rows array (minItems:1 violation) returns an error","Invalid field enum value (anything other than passenger_count or service_count) is rejected","Payment of 0.01 USDC not included or declined prevents execution"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of transport ridership records already in hand and need both a numeric distribution and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for offline/local analytical passes on pre-collected transit data where no live lookup, prediction, or external data enrichment is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:34:05.936Z","isFirstParty":false,"canonicalSlug":"transport-ridership-numeric-distribution-date-by-category-pivot-5eb5bf5a"}