{"uid":"cap_7Nm26lhRDnmkCY9HdX6U4","slug":"transport-ridership-numeric-interval-filter-keyed-dataset-comparison-8f708dd9","name":"Transport Ridership Numeric Interval Filter & Keyed Dataset Comparison","description":"Transport ridership — Numeric interval filter + Keyed dataset comparison: Numeric interval filter + 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-05-134?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},"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_Mz8c8FoPyWN2GVX4-9MIe","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":"Applies numeric interval filtering and row-keyed dataset comparison to up to 200 transport ridership records (passenger_count, service_count), returning 2 independent analytical reports.","exampleAgentPrompt":"Compare these two sets of monthly ridership data — primary dataset has 50 rows with row_id, region, date, passenger_count, and service_count, and the secondary dataset has the same 50 rows but from the following month — run the numeric interval filter and keyed dataset comparison on passenger_count and give me both reports.","exampleUseCases":[{"title":"Pre/post schedule change ridership comparison","prompt":"I have two ridership datasets — one from before our bus schedule change and one after, each with up to 150 rows including row_id, region, date, passenger_count, and service_count. Run the numeric interval filter and keyed dataset comparison on passenger_count so I can see which routes changed most."},{"title":"Regional transit service count audit","prompt":"Can you apply a numeric interval filter and keyed dataset comparison on service_count for these two sets of transit records I'm uploading? Each has about 80 rows with row_id, region, date, passenger_count, and service_count — I want both analytical reports side by side."},{"title":"Year-over-year passenger count analysis","prompt":"Here are two transport ridership tables — last year's Q1 data and this year's Q1 data, both around 100 rows each with row_id, region, date, passenger_count, and service_count. Please run the interval filter and keyed comparison on passenger_count and show me the two reports."}],"resultDescription":"Two analytical reports: (1) a numeric interval filter report showing which rows fall within defined numeric ranges for the selected field (passenger_count or service_count), and (2) a keyed dataset comparison report matching rows from both datasets by row_id and highlighting numeric differences. Both are computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — endpoint rejects with validation error","Missing required fields (row_id, region, date, passenger_count, service_count) in any row — schema validation failure","Invalid date format (not YYYY-MM-DD) — pattern validation error","Field value out of allowed numeric range (±1,000,000,000,000) — schema rejection","Empty rows array (minItems: 1 violated) — validation error","Payment not included or insufficient — x402 payment required response"],"whenToPreferThis":"Choose this endpoint when you have up to 200 transport ridership records (with passenger_count and/or service_count) and need both a numeric interval filter analysis and a row-keyed comparison between two datasets in a single paid call. It is ideal for transit analysts comparing ridership before/after events, across regions, or across time periods — without needing live data, predictions, or external lookups. At $0.01 USDC for two reports, it is cost-effective for batch ridership analytics on pre-collected data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T00:35:49.024Z","isFirstParty":false,"canonicalSlug":"transport-ridership-numeric-interval-filter-keyed-dataset-comparison-8f708dd9"}