{"uid":"cap_Ny8AcNJH_PKNu5WCc5EJL","slug":"data-ingestion-batches-record-quality-audit-trailing-mean-series-0c25e988","name":"Data Ingestion Batches — Record Quality Audit + Trailing Mean Series","description":"Data ingestion batches — Record quality audit + Trailing mean series: Record quality audit + Trailing mean series 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-01-010?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_T3eFf3PRoH2sgHWRAXJGE","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 two analytical reports on ingestion batch data: a record quality audit and a trailing mean series for received_rows or accepted_rows over up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit and trailing mean series on my ingestion batch data — I have rows for two dataset groups (group-a and group-b) from October 2026, with received_rows and accepted_rows values, and I want the trailing mean on received_rows with a window of 3?","exampleUseCases":[{"title":"Daily ingestion pipeline quality review","prompt":"I have 30 days of ingestion batch records for my data warehouse pipeline — each row has a date, dataset group, and received vs accepted row counts. Can you audit them for quality issues and also compute a 7-day trailing mean on accepted_rows so I can spot trends?"},{"title":"Acceptance rate anomaly detection","prompt":"My ingestion team logged received_rows and accepted_rows for four dataset groups over the past two weeks. Run a quality audit on those records and give me a trailing mean series with a window of 5 on received_rows so we can see where drops are happening."},{"title":"ETL batch monitoring for multiple groups","prompt":"We have batch ingestion logs from groups 'sales', 'inventory', and 'returns' for the last 60 days. Can you audit the record quality and calculate a trailing mean with window 10 on accepted_rows to help us monitor data completeness over time?"}],"resultDescription":"Returns two independent reports: (1) a record quality audit covering the supplied rows with quality flags and assessments per record, and (2) a trailing mean series for the selected field (received_rows or accepted_rows) computed using the specified window size — both derived purely from the submitted data with no external lookups.","failureModes":["More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) on any row","Invalid date format (must match YYYY-MM-DD pattern)","Window size outside range 2–200","Field value not one of the allowed enum values (received_rows, accepted_rows)","All numeric values null — no computable series"],"whenToPreferThis":"Choose this endpoint when you need both a record-level quality audit and a rolling/trailing mean time series computed together from your ingestion batch data in a single low-cost call. Ideal for data engineering teams monitoring ETL pipeline health across dataset groups without needing external data enrichment or predictions — just local analytical computation on your submitted rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:26.739Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-record-quality-audit-trailing-mean-series-0c25e988"}