{"uid":"cap_H-damXiu3a-m2lmC921_3","slug":"transport-ridership-date-by-category-pivot-keyed-dataset-comparison-a897fedf","name":"Transport Ridership Date-by-Category Pivot + Keyed Dataset Comparison","description":"Transport ridership — Date by category pivot + Keyed dataset comparison: Date by category pivot + Keyed dataset comparison 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-05-188?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}$","maxLength":10},"region":{"type":"string","default":"","maxLength":80},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"service_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"passenger_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","region":"group-a","row_id":"row-1","service_count":1,"passenger_count":10},{"date":"2026-10-02","region":"group-b","row_id":"row-2","service_count":2,"passenger_count":20},{"date":"2026-10-03","region":"group-a","row_id":"row-3","service_count":3,"passenger_count":15},{"date":"2026-10-04","region":"group-b","row_id":"row-4","service_count":4,"passenger_count":30}],"maxItems":200,"minItems":1},"field":{"enum":["passenger_count","service_count"],"type":"string","default":"passenger_count"},"other":{"type":"array","items":{"type":"object","required":["row_id","region","date","passenger_count","service_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21},{"date":"2026-10-03","region":"group-a","row_id":"row-3","service_count":3,"passenger_count":17},{"date":"2026-10-04","region":"group-b","row_id":"row-4","service_count":4,"passenger_count":33}],"maxItems":200,"minItems":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_QGTs06OPGTs6VG7kOblW9","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 up to 200 transport ridership records by producing a date-by-category pivot table and a keyed comparison between two supplied datasets for passenger_count or service_count.","exampleAgentPrompt":"I have two sets of transit ridership records (up to 200 rows each) with region, date, passenger_count, and service_count — can you pivot the first dataset by date and region for passenger_count, and also compare it row-by-row against the second dataset?","exampleUseCases":[{"title":"Before/After Policy Change Ridership Comparison","prompt":"I have ridership data for two time periods — before and after we changed the bus schedule — both with region, date, passenger_count, and service_count. Can you pivot the before-period data by date and region for passenger_count, and then do a keyed comparison between the two datasets to show where ridership changed?"},{"title":"Regional Transit Service Count Pivot","prompt":"Here are 150 rows of transit records across five regions over the last quarter, each with a date and service_count. Can you pivot these by date and category using service_count as the field, and also compare them against last quarter's figures I'll supply as the second dataset?"},{"title":"Daily Passenger Load Cross-Region Audit","prompt":"I need to audit our daily passenger counts across regions A and B — I have two datasets, one from our internal system and one from the operator's report, both keyed by row_id, region, and date with passenger_count and service_count. Please pivot the internal dataset by date and region for passenger_count and compare it against the operator's dataset to find any mismatches."}],"resultDescription":"Returns two analytical reports: (1) a date-by-category pivot table cross-tabulating the selected field (passenger_count or service_count) across dates and regions, and (2) a keyed row-by-row comparison between the primary and secondary supplied datasets highlighting differences — all computed locally with no external data lookups.","failureModes":["More than 200 rows submitted — exceeds maximum row limit","Missing required fields (row_id, region, date, passenger_count, or service_count) — validation error","Invalid date format not matching YYYY-MM-DD pattern — schema rejection","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — validation failure","Empty rows array — minimum 1 item required","Invalid field enum value (must be 'passenger_count' or 'service_count') — schema rejection"],"whenToPreferThis":"Choose this endpoint when you have structured transport ridership data (passenger_count, service_count) already in hand and need both a date-by-region pivot analysis and a comparison between two versions of the dataset in a single paid call. It is best for offline/batch analytical workflows where you supply all data locally and need no live data fetching, predictions, or external enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:31:52.622Z","isFirstParty":false,"canonicalSlug":"transport-ridership-date-by-category-pivot-keyed-dataset-comparison-a897fedf"}