{"uid":"cap_Nik3AnmVs8W93TD-JIiYI","slug":"transport-ridership-record-quality-audit-iqr-outlier-flags-ae943b8b","name":"Transport Ridership Record Quality Audit + IQR Outlier Flags","description":"Transport ridership — Record quality audit + IQR outlier flags: Record quality audit + IQR outlier flags 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-05-014?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"}}},"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_WkyL6LQzVewRB4Bec2WGo","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":"Audits data quality and flags IQR-based outliers in transport ridership records (passenger_count or service_count) for up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you run a record quality audit and flag any IQR outliers on my transport ridership data for the passenger_count field? I have about 50 rows with region, date, passenger_count, and service_count columns.","exampleUseCases":[{"title":"Transit agency data pipeline validation","prompt":"I'm processing daily ridership submissions from 10 regional transit agencies — can you audit these 150 rows for record quality issues and flag any IQR outliers in the passenger_count field before I load them into our dashboard?"},{"title":"Service count anomaly detection","prompt":"Some of our service_count values look off this month. Can you run the IQR outlier detection and quality audit on these 80 ridership records using the service_count field so I can identify which rows need review?"},{"title":"Pre-analysis data cleansing for ridership report","prompt":"Before I run my quarterly ridership analysis, can you check these 200 rows for data quality problems and flag statistical outliers in passenger_count? I want both the quality audit and the outlier report."}],"resultDescription":"Returns two independent reports: (1) a record quality audit identifying data issues such as nulls, format errors, or invalid values across the supplied rows, and (2) IQR-based outlier flags indicating which rows have statistically extreme passenger_count or service_count values relative to the dataset's interquartile range.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, region, date, passenger_count, service_count) cause rejection","Invalid date format (non-YYYY-MM-DD) triggers schema validation failure","All-null values for the selected field may produce degenerate IQR results","Submitting fewer than 1 row returns an error"],"whenToPreferThis":"Choose this endpoint when you need a quick, low-cost ($0.01 USDC) dual-report audit of transport ridership tabular data — specifically record quality checks combined with IQR outlier detection — without requiring live lookups, predictions, or external data enrichment. Ideal for pre-processing pipelines where you want to catch bad rows before downstream analytics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:32:57.675Z","isFirstParty":false,"canonicalSlug":"transport-ridership-record-quality-audit-iqr-outlier-flags-ae943b8b"}