{"uid":"cap_2KSFMZLPywTHzbbePadHL","slug":"transport-ridership-analytics-category-frequencies-numeric-interval-580a0e62","name":"Transport Ridership Analytics — Category Frequencies & Numeric Interval Filter","description":"Transport ridership — Category frequencies + Numeric interval filter: Category frequencies + Numeric interval filter 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-05-101?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_TtfuGVhOdruFtdsIpOhRe","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":"Analyzes user-supplied transport ridership records to produce category frequency distributions and numeric interval filtering for passenger_count and service_count fields, delivering two analytical reports per call for up to 200 rows.","exampleAgentPrompt":"I have 150 rows of transit ridership data with regions and dates — can you run a category frequency report on the regions and also filter the passenger_count field to only show rows where values are between 5 and 500?","exampleUseCases":[{"title":"Regional transit frequency audit","prompt":"I've got ridership records from our city bus network across 4 regions for October — can you tell me how frequently each region appears in the data and also filter the passenger_count to rows between 10 and 300?"},{"title":"Service count outlier scoping","prompt":"Here are 120 rows of daily transit service logs with service_count values — please filter to rows where service_count falls between 1 and 50 and show me the category breakdown by region at the same time."},{"title":"Monthly ridership range analysis","prompt":"I have a month of ridership records with passenger_count and service_count columns — run the category frequencies on region for me and filter passenger_count to anything between 0 and 100 so I can spot the low-ridership days."}],"resultDescription":"Returns two analytical reports: (1) a category frequency table showing how often each distinct region value appears in the supplied rows, and (2) a numeric interval filter listing which rows have the selected field (passenger_count or service_count) within the specified minimum and maximum bounds. Results are based entirely on the supplied data with no external lookups.","failureModes":["Empty rows array or missing required fields (row_id, region, date) returns validation error","More than 200 rows submitted — exceeds limit, request rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Minimum value greater than maximum value may produce empty interval filter results","Null numeric values in the filtered field result in those rows being excluded from interval report","Payment of 0.01 USDC not fulfilled — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you have raw transport ridership records (up to 200 rows) that you want to analyze locally without sending data to external cloud services. It is ideal when you need both a regional category frequency breakdown and a numeric range filter on ridership metrics in a single low-cost call. Prefer this over general-purpose analytics platforms when working with structured transit CSV-like data and needing quick, deterministic statistical summaries with no prediction or external enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:51:21.202Z","isFirstParty":false,"canonicalSlug":"transport-ridership-analytics-category-frequencies-numeric-interval-580a0e62"}