{"uid":"cap_qRrcoptRJksxKcVyBeaG1","slug":"transport-ridership-data-quality-suite-audit-deduplication-interval-c8c4677c","name":"Transport Ridership Data Quality Suite — Audit, Deduplication & Interval Filter","description":"Transport ridership — Record quality audit + Exact row deduplication + Numeric interval filter: Record quality audit + Exact row deduplication + Numeric interval filter for supplied transport ridership records (passenger_count, service_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-economics-05-214?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"},"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_RU7YqS1nGVO8QtwgZQlVS","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":"Runs three local analytical reports on transport ridership records: a record quality audit, exact row deduplication, and a numeric interval filter on passenger_count or service_count.","exampleAgentPrompt":"Run a data quality audit, exact deduplication check, and a numeric interval filter on my transport ridership records — I have 50 rows with passenger_count and service_count fields, and I want to filter passenger_count between 0 and 500.","exampleUseCases":[{"title":"Pre-analysis ridership data cleanup","prompt":"I have 120 rows of regional bus ridership data with passenger_count and service_count. Can you audit the record quality, remove any exact duplicate rows, and filter to only keep rows where passenger_count is between 10 and 1000?"},{"title":"Transit agency duplicate detection","prompt":"Before I load this ridership export into our dashboard, can you check these 80 rows for exact duplicates and flag any quality issues in the records? The dataset has region, date, passenger_count, and service_count columns."},{"title":"Service count range validation","prompt":"I need to filter my transit ridership dataset to rows where service_count falls between 5 and 200, and also get a quality audit and deduplication report — I've got about 150 rows to process."}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging missing, null, or malformed fields; (2) an exact row deduplication report identifying and removing identical rows; and (3) a numeric interval filter report listing rows where the chosen field (passenger_count or service_count) falls within the specified minimum–maximum range. All processing is local with no external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, region, date, passenger_count, service_count) on any row causes validation errors","Date strings not matching YYYY-MM-DD pattern will fail schema validation","Minimum value greater than maximum value may produce empty interval filter results","Numeric fields outside ±1,000,000,000,000 range rejected by schema"],"whenToPreferThis":"Choose this endpoint when you need a bundled, low-cost data quality pass on transport ridership records (up to 200 rows) that combines three complementary operations — quality audit, deduplication, and range filtering — in a single call. Ideal for pre-processing steps before loading transit data into dashboards or analytical pipelines. Not suitable for live lookups, predictive modeling, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-27T13:06:40.556Z","isFirstParty":false,"canonicalSlug":"transport-ridership-data-quality-suite-audit-deduplication-interval-c8c4677c"}