{"uid":"cap_eIl4BygcgNb89TPv8wji1","slug":"transport-ridership-numeric-distribution-and-base-100-series-analyzer-5bdb66f8","name":"Transport Ridership Numeric Distribution and Base-100 Series Analyzer","description":"Transport ridership — Numeric distribution + Base-100 series: Numeric distribution + 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-05-078?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_8VfYrOc6N7lrFXubod6OA","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 numeric distribution statistics and a base-100 index series for up to 200 transport ridership records covering passenger_count and service_count fields.","exampleAgentPrompt":"Can you run a numeric distribution and base-100 index series on my transit ridership data — I have passenger_count and service_count records across regions like 'north' and 'south' for dates in 2025, up to 150 rows, and I want the index anchored to row 0 on passenger_count?","exampleUseCases":[{"title":"Monthly ridership trend indexing","prompt":"I have 120 rows of monthly bus ridership data with passenger_count and service_count across our city zones from Jan to Dec 2024 — can you give me a base-100 index series anchored to January (row 0) so I can see how ridership evolved over the year?"},{"title":"Regional service distribution audit","prompt":"We collected service_count data across 6 transit regions for Q3 2025 and I need a numeric distribution report to understand the spread — can you run the distribution analysis on service_count for all 80 rows?"},{"title":"Comparing passenger load across routes","prompt":"I've got ridership records for 50 routes with passenger_count and service_count logged by date — run both a numeric distribution and a base-100 index starting from row 0 on passenger_count so I can compare route loads relative to the baseline."}],"resultDescription":"Returns two analytical reports for the supplied ridership rows: (1) a numeric distribution summarizing the statistical spread of the chosen field (passenger_count or service_count), and (2) a base-100 index series anchoring values relative to the specified base_index row — both computed locally without any external lookup or prediction.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Invalid date format (not YYYY-MM-DD) causes row validation failure","Missing required fields (row_id, region, date, passenger_count, service_count) causes schema rejection","base_index out of bounds for the supplied row count","Null values in both numeric fields may produce incomplete distribution output"],"whenToPreferThis":"Choose this endpoint when you have your own transport ridership data (already collected) and need fast, local statistical distribution and base-100 indexing for up to 200 rows — no external data fetching, live lookups, or predictions involved. It delivers two reports in a single low-cost call ($0.01 USDC), making it ideal for batch analytical passes over regional or time-series ridership records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:31:59.889Z","isFirstParty":false,"canonicalSlug":"transport-ridership-numeric-distribution-and-base-100-series-analyzer-5bdb66f8"}