{"uid":"cap_Uh6tosuyslymVRROyrjOq","slug":"data-ingestion-batch-quality-audit-exact-row-deduplication-95a6aa66","name":"Data Ingestion Batch Quality Audit & Exact Row Deduplication","description":"Data ingestion batches — Record quality audit + Exact row deduplication: Record quality audit + Exact row deduplication 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-01-002?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}}},"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_KfRm7x7f87SizHBHQskfk","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 a record quality audit and exact row deduplication on up to 200 data ingestion batch records (received_rows, accepted_rows), returning two independent analytical reports.","exampleAgentPrompt":"Can you audit this ingestion batch data for quality issues and exact duplicate rows? I have records like row-1 in group-a on 2026-10-01 with 10 received_rows and 1 accepted_rows — up to about 50 rows across several dataset groups.","exampleUseCases":[{"title":"ETL pipeline data quality check","prompt":"I need to audit my ETL pipeline's ingestion batch logs for quality issues — here are 80 records with row_id, dataset_group, date, received_rows, and accepted_rows. Can you give me a quality report and flag any exact duplicate rows?"},{"title":"Ingestion acceptance rate anomaly detection","prompt":"Something looks off in our data ingestion batches — can you run a quality audit on these 120 batch records across groups A, B, and C from last week and tell me if any rows are duplicated or if the accepted_rows numbers look problematic?"},{"title":"Multi-group deduplication before analytics","prompt":"Before I load this data into our analytics warehouse, can you check these 150 ingestion batch records for exact duplicate rows and give me a quality audit? Each record has a row_id, dataset_group, date, received_rows, and accepted_rows."}],"resultDescription":"Returns two independent reports: (1) a record quality audit covering anomalies, null values, and data integrity issues in the received_rows and accepted_rows fields; and (2) an exact row deduplication report identifying identical records across the supplied batch, all computed locally with no external lookups.","failureModes":["More than 200 rows submitted — batch size limit exceeded","Missing required fields (row_id, dataset_group, date, received_rows, or accepted_rows) — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema rejection","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — schema error","Empty rows array — minItems constraint violation","Payment not provided or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit and exact deduplication in a single call on ingestion batch records structured with received_rows and accepted_rows counts per dataset group and date. It is ideal for ETL pipeline validation, pre-analytics cleansing, and batch integrity checks on up to 200 rows at low cost ($0.01 USDC for two reports). Prefer this over general-purpose analytics tools when your data is already in the ingestion batch schema format and you want fast, local, offline analysis without external data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:36.392Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batch-quality-audit-exact-row-deduplication-95a6aa66"}