{"uid":"cap_c04W7bqKkxnPmxQGTLAfF","slug":"transport-ridership-daily-sum-series-equal-width-histogram-7b84a90b","name":"Transport Ridership Daily Sum Series + Equal-Width Histogram","description":"Transport ridership — Daily sum series + Equal-width histogram: Daily sum series + 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-05-139?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_T3-FMmcupadkS2Z9t0sOo","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 a daily sum time series and an equal-width histogram for transport ridership data (passenger_count or service_count) supplied as up to 200 rows.","exampleAgentPrompt":"Can you run a daily sum series and a 10-bin equal-width histogram on passenger_count for my transit ridership dataset? I have about 80 rows with fields row_id, region, date, passenger_count, and service_count.","exampleUseCases":[{"title":"City transit daily ridership rollup","prompt":"I have 150 rows of bus ridership records with passenger_count and service_count by date and region — can you compute a daily sum series and a 5-bin histogram for passenger_count so I can see daily totals and how ridership is distributed?"},{"title":"Service count distribution for route audit","prompt":"Run a daily aggregate and a 10-bin equal-width histogram on service_count for these 200 transit records — I want to spot which days had unusually high or low service runs."},{"title":"Regional ridership pattern analysis","prompt":"I've got about 60 rows of transport data across two regions for last month. Can you produce a daily sum series and a 15-bin histogram for passenger_count so I can compare ridership patterns?"}],"resultDescription":"Returns two independent reports: (1) a daily sum series showing total values of the selected field (passenger_count or service_count) aggregated by date, and (2) an equal-width histogram with configurable bin count showing the frequency distribution of the selected field across all supplied rows.","failureModes":["Input exceeds 200 rows — request will be rejected","Missing required fields (row_id, region, date, passenger_count, service_count) on any row","Invalid date format (must match YYYY-MM-DD)","bin parameter outside 1–30 range","Null values in the selected field may be excluded from aggregation","Values outside ±1,000,000,000,000 will fail schema validation"],"whenToPreferThis":"Choose this endpoint when you need both a temporal daily-sum aggregation and a value-distribution histogram for transport ridership data in a single call, without any external lookup or live data source. Ideal for offline batch analysis of up to 200 pre-collected transit records where you want two complementary statistical views for a fixed $0.01 cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:31:29.467Z","isFirstParty":false,"canonicalSlug":"transport-ridership-daily-sum-series-equal-width-histogram-7b84a90b"}