{"uid":"cap_y3m2JjOUFP_ilNMhw0zqP","slug":"transport-ridership-numeric-distribution-equal-width-histogram-d73385be","name":"Transport Ridership Numeric Distribution & Equal-Width Histogram","description":"Transport ridership — Numeric distribution + Equal-width histogram: Numeric distribution + Equal-width histogram 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-05-079?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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__XteKXNoI1FQyqJh9Em7a","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 an equal-width histogram for passenger_count or service_count fields across up to 200 transport ridership records.","exampleAgentPrompt":"Can you analyze the distribution of passenger counts from these transit records and give me an equal-width histogram with 10 bins? I have about 150 rows with region, date, row_id, passenger_count, and service_count fields.","exampleUseCases":[{"title":"Transit agency ridership pattern analysis","prompt":"I have 120 daily ridership records for our city bus network with passenger counts and service counts by region. Can you generate an equal-width histogram with 8 bins for the passenger_count field so I can see how ridership is distributed across the dataset?"},{"title":"Service frequency distribution review","prompt":"Here are 80 rows of transport data covering different routes and dates. Can you run a numeric distribution report on the service_count field using 5 bins to understand how service frequency varies across our network?"},{"title":"Regional transit load benchmarking","prompt":"I need to compare how passenger volumes are spread across our 200 transit records from last quarter. Please compute the numeric distribution and a 10-bin equal-width histogram for passenger_count so we can identify under- and over-served periods."}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution summary of the selected field (passenger_count or service_count) including statistical measures such as min, max, mean, and spread, and (2) an equal-width histogram showing how values fall across a configurable number of bins (1–30). Both reports are computed locally from the supplied rows with no external lookups.","failureModes":["Exceeding 200 rows causes rejection or truncation","Missing required fields (row_id, region, date, passenger_count, service_count) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","bin value outside 1–30 range returns an error","Null values in the selected numeric field may affect distribution accuracy","Submitting an empty rows array returns an error"],"whenToPreferThis":"Choose this endpoint when you have raw transport ridership records (up to 200 rows) and need both a numeric distribution summary and a histogram for either passenger_count or service_count in a single low-cost call. It is ideal for offline/batch analytics on supplied data without any external data fetching, prediction, or live lookup. Prefer it over generic statistics APIs when your data specifically includes the transport ridership schema (region, date, passenger_count, service_count).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:31:44.559Z","isFirstParty":false,"canonicalSlug":"transport-ridership-numeric-distribution-equal-width-histogram-d73385be"}