{"uid":"cap_OsHBFMrHA8OCDkfucy_Yx","slug":"transport-ridership-deduplication-and-base-100-series-be0e68af","name":"Transport Ridership Deduplication and Base-100 Series","description":"Transport ridership — Exact row deduplication + Base-100 series: Exact row deduplication + 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-05-047?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_bFrBTO89Q0MtGuaWaS_zb","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":"Deduplicates transport ridership rows and computes a Base-100 indexed time series for passenger or service counts across up to 200 supplied records.","exampleAgentPrompt":"I have 50 rows of bus ridership data with passenger_count and service_count by region and date — can you deduplicate them and generate a base-100 indexed series for passenger_count starting from row index 0?","exampleUseCases":[{"title":"Monthly transit ridership baseline comparison","prompt":"I've got 120 rows of monthly ridership data for regions North and South from 2024 — deduplicate the records and give me a base-100 series for passenger_count anchored to the first row so I can compare growth across regions."},{"title":"Service count anomaly cleanup for transit report","prompt":"Our transit dataset has some duplicate entries mixed in — can you deduplicate up to 180 rows and produce a base-100 index for service_count starting at index 0 so we can spot outliers cleanly?"},{"title":"Regional ridership trend indexing","prompt":"I have daily ridership rows for three regions over the last quarter — please deduplicate the 90 records and generate a base-100 series on passenger_count from row 0 so we can see how each region's ridership trended relative to that baseline."}],"resultDescription":"Returns two analytical reports: (1) a deduplicated set of the supplied transport ridership rows with exact duplicates removed, and (2) a Base-100 indexed time series for the chosen field (passenger_count or service_count) relative to the specified base_index row, for up to 200 input records.","failureModes":["More than 200 rows submitted — request will be rejected due to maxItems constraint","Missing required fields (row_id, region, date, passenger_count, or service_count) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","base_index out of range (>= number of rows) may produce undefined behavior","Null values in the chosen field may affect Base-100 series calculation"],"whenToPreferThis":"Choose this endpoint when you have raw transport ridership records (passenger counts and service counts) that need exact duplicate removal and a relative Base-100 index series computed locally without any external lookups or predictions. Ideal for batch preprocessing of up to 200 rows at $0.01 per call when you need both deduplication and indexing in a single low-cost operation.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:31:09.524Z","isFirstParty":false,"canonicalSlug":"transport-ridership-deduplication-and-base-100-series-be0e68af"}