{"uid":"cap_SuQsfWKc81c1cCUBqSA5C","slug":"transport-ridership-grouped-summary-base-100-series-analyzer-6f63c3f3","name":"Transport Ridership Grouped Summary & Base-100 Series Analyzer","description":"Transport ridership — Grouped numeric summary + Base-100 series: Grouped numeric summary + 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-05-092?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_UtEBs5Ul-H4d7DMvxnLOS","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 a grouped numeric summary and a Base-100 index series for supplied transport ridership data (passenger_count or service_count) across up to 200 rows.","exampleAgentPrompt":"I have ridership data for two regions — group-a and group-b — across four dates with passenger counts and service counts. Can you give me a grouped numeric summary and a Base-100 index series for passenger_count, using the first row as the base?","exampleUseCases":[{"title":"Regional transit performance comparison","prompt":"I've got daily ridership records for three metro regions over the past month — each row has a date, region name, passenger count, and service count. Can you give me a grouped numeric summary and a Base-100 series for passenger_count so I can see how each region compares?"},{"title":"Service count indexing for transit planning","prompt":"I have 150 rows of bus service data with dates, regions, and service counts. Please run a grouped summary and Base-100 index on service_count using row index 0 as the baseline — I need both reports to evaluate scheduling efficiency across regions."},{"title":"Ridership anomaly context via indexed series","prompt":"Can you analyze these 80 rows of subway ridership records — they have passenger_count and service_count by region and date — and produce a grouped numeric summary plus a Base-100 index for passenger_count starting from row 5, so I can spot which regions dipped below baseline?"}],"resultDescription":"Returns two independent analytical reports: (1) a grouped numeric summary of the selected field (passenger_count or service_count) broken down by region, and (2) a Base-100 index series where each row's value is expressed relative to the row at base_index, enabling trend and deviation analysis. Both reports are computed locally from supplied data with no external lookups.","failureModes":["Missing required fields (row_id, region, date, passenger_count, service_count) cause validation errors","Date strings not matching YYYY-MM-DD pattern are rejected","More than 200 rows submitted exceeds the maxItems limit","Null values in the target field may affect summary statistics","Invalid base_index value (outside 0–199 or beyond array length) causes an error","Submitting an empty rows array returns an error"],"whenToPreferThis":"Choose this endpoint when you have raw transport ridership records (up to 200 rows) and need both a grouped regional summary and a Base-100 normalized index series in a single low-cost call. It is ideal for offline/batch analytical reporting on supplied data rather than live lookups or predictions. Prefer it over general-purpose analytics APIs when you need both report types simultaneously for transit or economics data at $0.01 USDC per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:31:32.095Z","isFirstParty":false,"canonicalSlug":"transport-ridership-grouped-summary-base-100-series-analyzer-6f63c3f3"}