{"uid":"cap_sKbuAR8ISXgcUgS6r8oUZ","slug":"transport-ridership-category-frequencies-base-100-series-90d972d2","name":"Transport Ridership — Category Frequencies + Base-100 Series","description":"Transport ridership — Category frequencies + Base-100 series: Category frequencies + Base-100 series 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-05-105?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_Ai4NFcVCctTXrB8b6aBpY","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 category frequency distributions and a base-100 indexed time series for supplied transport ridership data (passenger_count or service_count), returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Run a category frequency analysis and base-100 series on my transit ridership data — here are 50 rows with row_id, region, date, passenger_count, and service_count fields. Use passenger_count as the measure and anchor the index to row 0.","exampleUseCases":[{"title":"Monthly ridership trend indexing","prompt":"I have 120 rows of daily bus ridership data across 5 regions with passenger counts. Can you index all of them to a base-100 series starting from the first row and also show me how frequently each region appears in the dataset?"},{"title":"Service frequency audit by route","prompt":"I've got a spreadsheet of 80 transit service records by region and date with service_count values — can you compute the category frequencies per region and generate a base-100 series using service_count, anchored at row index 0?"},{"title":"Comparative ridership profiling","prompt":"I need two quick reports on this transport dataset of 200 rows: how often each region category shows up, and a base-100 indexed series for passenger_count starting from row 10. Can you run that analysis?"}],"resultDescription":"Returns two reports: (1) a category frequency table showing how often each region label appears across the supplied rows, and (2) a base-100 indexed time series for the selected measure (passenger_count or service_count) anchored to the specified base_index row, computed entirely on the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — minimum 1 row required","More than 200 rows supplied — request will be rejected (maxItems: 200)","base_index out of range — must be between 0 and 199 and within the actual row count","Invalid date format — dates must match YYYY-MM-DD pattern","Missing required fields (row_id, region, date, passenger_count, service_count) — request rejected","Null numeric values may affect base-100 computation if the base row itself is null","Payment failure — $0.01 USDC must be confirmed before processing"],"whenToPreferThis":"Choose this endpoint when you have raw transport ridership records (up to 200 rows) and need two specific outputs: a regional category frequency count and a base-100 normalized index series for either passenger_count or service_count. It is a lightweight, offline analytical engine — ideal when you do not need live data, forecasting, or external enrichment, and want both reports delivered in a single cheap API call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:32:55.419Z","isFirstParty":false,"canonicalSlug":"transport-ridership-category-frequencies-base-100-series-90d972d2"}