{"uid":"cap_zUujFg9VQ78BOtzX0bvgI","slug":"data-ingestion-batches-duplicate-key-report-numeric-interval-filter-20211ebf","name":"Data Ingestion Batches — Duplicate Key Report + Numeric Interval Filter","description":"Data ingestion batches — Duplicate key report + Numeric interval filter: Duplicate key report + Numeric interval filter for supplied data ingestion batches records (received_rows, accepted_rows). 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-analytics-01-059?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_S3I1yLrlh7p3lOVpyxC6I","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":"Analyzes up to 200 data ingestion batch records to produce a duplicate key report and a numeric interval filter report for received_rows or accepted_rows fields.","exampleAgentPrompt":"Check my data ingestion batch records for duplicate row IDs and also filter to only show rows where received_rows is between 0 and 500 — here are my records: row-1, group-a, 2026-10-01, received_rows=10, accepted_rows=1; row-2, group-b, 2026-10-02, received_rows=20, accepted_rows=2.","exampleUseCases":[{"title":"ETL pipeline duplicate key audit","prompt":"I have 150 data ingestion batch records from our ETL pipeline and I need to know which row IDs are duplicated, and also which rows have received_rows between 50 and 1000 — can you run both reports on this dataset?"},{"title":"Ingestion acceptance rate interval check","prompt":"Run a duplicate key check and a numeric interval filter on my ingestion batch data — flag any duplicates and show me only the rows where accepted_rows falls between 100 and 5000."},{"title":"Daily batch quality validation","prompt":"For today's data ingestion batch, scan these 80 records for any duplicate row IDs and filter down to records where received_rows is between 0 and 200 so I can review what actually made it through."}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying which row_ids or key combinations appear more than once across the submitted records, and (2) a numeric interval filter report listing which rows have the specified field (received_rows or accepted_rows) within the supplied minimum and maximum bounds. Both reports are computed locally against the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) — validation error","Invalid date format not matching YYYY-MM-DD pattern — schema validation failure","Numeric values outside the allowed range (±1,000,000,000,000) — rejection","minimum greater than maximum for interval filter — may return empty filter results","Payment not included or insufficient USDC — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need both a duplicate key audit and a numeric range filter on data ingestion batch records (received_rows, accepted_rows) in a single low-cost call. It is ideal for lightweight ETL data quality checks on batches up to 200 rows without needing a full data warehouse or external analytics service. At $0.01 USDC for two reports, it is cost-effective for frequent automated pipeline validation.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:46.963Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-duplicate-key-report-numeric-interval-filter-20211ebf"}