{"uid":"cap_r6QSD5_dfV7WAwjcYX_Xy","slug":"data-ingestion-batches-quality-audit-deduplication-adjacent-row-changes-d7a093ec","name":"Data Ingestion Batches — Quality Audit, Deduplication & Adjacent Row Changes","description":"Data ingestion batches — Record quality audit + Exact row deduplication + Adjacent row changes: Record quality audit + Exact row deduplication + Adjacent row changes 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-01-217?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"}}},"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_Uy1Ru_LY2mC33JvCVIlEc","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 analytical reports on data ingestion batch records: record quality audit, exact row deduplication, and adjacent row change detection for received_rows or accepted_rows fields.","exampleAgentPrompt":"Can you run the three-report quality analysis on my ingestion batch data — quality audit, exact deduplication, and adjacent row changes — for these rows across dataset groups 'group-a' and 'group-b' dated 2026-10-01 through 2026-10-04, checking the received_rows field?","exampleUseCases":[{"title":"ETL pipeline data quality check","prompt":"I've got a batch of ingestion records for my ETL pipeline — can you audit the quality, find any exact duplicate rows, and flag adjacent row changes for the accepted_rows field? Here are the rows: row-1 on 2024-01-01 in group-alpha with received=500 accepted=480, row-2 on 2024-01-02 in group-alpha with received=500 accepted=480, row-3 on 2024-01-03 in group-alpha with received=600 accepted=570."},{"title":"Deduplication audit for ingestion monitoring","prompt":"My data ingestion monitoring log might have duplicate entries — please run the exact row deduplication report plus the quality audit and adjacent changes check on these records using the received_rows field: row-1 2025-03-01 dataset-group-x received=1000 accepted=950, row-2 2025-03-01 dataset-group-x received=1000 accepted=950, row-3 2025-03-02 dataset-group-x received=800 accepted=790."},{"title":"Acceptance rate drift detection","prompt":"Can you analyze these data ingestion batch rows and tell me where the accepted_rows values shift between consecutive records? Run all three reports — quality audit, deduplication, and adjacent row changes — on the accepted_rows field for: row-1 2024-06-01 group-prod received=2000 accepted=1950, row-2 2024-06-02 group-prod received=2000 accepted=1200, row-3 2024-06-03 group-prod received=2000 accepted=1980."}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging issues in the supplied batch rows, (2) an exact row deduplication report identifying identical records, and (3) an adjacent row change report highlighting value differences between consecutive rows — all computed locally against the submitted data with no external lookups.","failureModes":["More than 200 rows submitted — exceeds maxItems limit, request rejected","Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) — validation error","Date field not in YYYY-MM-DD format — pattern validation failure","Invalid field selector — must be either 'received_rows' or 'accepted_rows'","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — schema rejection","Payment failure — x402 payment of 0.01 USDC not processed"],"whenToPreferThis":"Choose this endpoint when you need fast, self-contained analytical reports on data ingestion batch records without any external data lookups or live predictions. Ideal for ETL pipeline monitoring, batch QA workflows, or data engineering agents that need to check row quality, find duplicates, and detect sequential changes in a single cheap call covering up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T00:52:34.398Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-quality-audit-deduplication-adjacent-row-changes-d7a093ec"}