{"uid":"cap_95NedNWfRM8vxuX9qcg2D","slug":"transport-ridership-category-frequencies-numeric-row-ordering-f019f87c","name":"Transport Ridership Category Frequencies & Numeric Row Ordering","description":"Transport ridership — Category frequencies + Numeric row ordering: Category frequencies + Numeric row ordering 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-05-100?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_v4lpQEtLN4VuKT2tNKOg6","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 transport ridership records to produce category frequency counts and numeric row ordering for passenger_count or service_count fields, across up to 200 rows.","exampleAgentPrompt":"Can you run category frequency counts and numeric row ordering on my transit ridership data — I have 4 rows across regions group-a and group-b with dates from 2026-10-01 to 2026-10-04 and I want to analyze the passenger_count field?","exampleUseCases":[{"title":"Regional ridership frequency breakdown","prompt":"I have daily bus ridership records for 10 regions over the past month — can you count how many times each region appears in the dataset and also rank all the rows by passenger_count?"},{"title":"Service count ordering for route planning","prompt":"I need to rank my 50 transit route records by service_count and also see how frequently each region shows up — here are the rows with row IDs, dates, regions, passenger counts, and service counts."},{"title":"Multi-day transit data audit","prompt":"Can you analyze these 200 transit records from Q3, tell me the category frequencies by region, and order the rows numerically by passenger_count so I can see which days had the highest ridership?"}],"resultDescription":"Returns two independent analytical reports: (1) a category frequency report showing how often each distinct region value appears across the supplied rows, and (2) a numeric row ordering report ranking all rows by the selected numeric field (passenger_count or service_count), up to 200 rows total.","failureModes":["Missing required fields (row_id, region, date, passenger_count, service_count) causes validation failure","Date strings not matching YYYY-MM-DD pattern are rejected","Submitting more than 200 rows exceeds the row limit","Invalid field enum value (not passenger_count or service_count) causes rejection","Empty rows array returns an error","Numeric values outside allowed range cause validation errors"],"whenToPreferThis":"Choose this endpoint when you have raw transport ridership tabular data (up to 200 rows) and need both a categorical frequency count by region and a numeric ordering of rows by a ridership metric in a single cost-efficient call. It is ideal for batch offline analytics on supplied data without needing live lookups, predictions, or external data sources.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:36:29.033Z","isFirstParty":false,"canonicalSlug":"transport-ridership-category-frequencies-numeric-row-ordering-f019f87c"}