{"uid":"cap_K4DYUptFiWquJZgPg4WDJ","slug":"data-ingestion-batches-quality-audit-deduplication-numeric-interval-ab1d8c77","name":"Data Ingestion Batches — Quality Audit, Deduplication & Numeric Interval Filter","description":"Data ingestion batches — Record quality audit + Exact row deduplication + Numeric interval filter: Record quality audit + Exact row deduplication + Numeric interval filter for supplied data ingestion batches records (received_rows, accepted_rows). 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-analytics-01-214?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","received_rows","accepted_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"accepted_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"received_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","accepted_rows":1,"dataset_group":"group-a","received_rows":10},{"date":"2026-10-02","row_id":"row-2","accepted_rows":2,"dataset_group":"group-b","received_rows":20},{"date":"2026-10-03","row_id":"row-3","accepted_rows":3,"dataset_group":"group-a","received_rows":15},{"date":"2026-10-04","row_id":"row-4","accepted_rows":4,"dataset_group":"group-b","received_rows":30}],"maxItems":200,"minItems":1},"field":{"enum":["received_rows","accepted_rows"],"type":"string","default":"received_rows"},"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_0lETMHsPbPoMEXfO2cN89","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 data ingestion batch records: record quality audit, exact row deduplication, and numeric interval filtering on received_rows or accepted_rows fields.","exampleAgentPrompt":"Can you audit the quality, remove exact duplicates, and filter rows where received_rows is between 0 and 100 for this batch of ingestion records: [{\"row_id\":\"r1\",\"dataset_group\":\"group-a\",\"date\":\"2026-10-01\",\"received_rows\":10,\"accepted_rows\":8},{\"row_id\":\"r2\",\"dataset_group\":\"group-b\",\"date\":\"2026-10-02\",\"received_rows\":200,\"accepted_rows\":5}]?","exampleUseCases":[{"title":"ETL pipeline batch quality check","prompt":"I have a list of up to 150 data ingestion batch records with received_rows and accepted_rows values — can you run a quality audit, flag any exact duplicate rows, and filter out records where accepted_rows falls outside 0 to 500?"},{"title":"Deduplicating daily ingestion logs","prompt":"We collect daily ingestion logs across multiple dataset groups and I think there are duplicate entries creeping in. Can you take these records and give me a deduplication report plus a quality audit? The field I want to filter on is received_rows, between 1 and 1000."},{"title":"Validating ingestion acceptance rates","prompt":"Can you check these ingestion batch records for quality issues, identify any exact duplicate rows, and filter to only show entries where accepted_rows is between 10 and 50000 so I can spot anomalies in our acceptance rate?"}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit identifying malformed or problematic rows, (2) an exact row deduplication report flagging duplicate entries, and (3) a numeric interval filter report showing which rows have the selected field (received_rows or accepted_rows) within the specified minimum–maximum range. All computed locally without external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) causes validation errors","Invalid date format (not YYYY-MM-DD) fails schema validation","minimum greater than maximum causes empty or undefined interval filter results","Payment not included or insufficient USDC causes 402 rejection"],"whenToPreferThis":"Choose this endpoint when you need three simultaneous analytical passes — quality audit, deduplication, and numeric range filtering — on data ingestion batch records in a single low-cost call. Ideal for ETL pipeline monitoring, data quality pipelines, and ingestion log review where you want local computation without any external data lookups or side effects.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T00:52:30.671Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-quality-audit-deduplication-numeric-interval-ab1d8c77"}