{"uid":"cap_8yrJQgwhCIK1FiyZLjjLY","slug":"data-ingestion-batches-record-quality-audit-numeric-distribution-81aa1fc6","name":"Data Ingestion Batches — Record Quality Audit + Numeric Distribution","description":"Data ingestion batches — Record quality audit + Numeric distribution: Record quality audit + Numeric distribution 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-01-004?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_vasulkC5M2lCkxgsCnV7B","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 data ingestion batch records: a record quality audit and a numeric distribution summary for received_rows or accepted_rows fields across up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit and numeric distribution report on my ingestion batch data? I have rows for dataset groups 'group-a' and 'group-b' from October 2026 where received_rows ranged from 10 to 30 and accepted_rows from 1 to 4 — analyze the received_rows field.","exampleUseCases":[{"title":"ETL pipeline acceptance rate review","prompt":"I have 50 data ingestion batch records from last month across three dataset groups — can you audit the record quality and show me the numeric distribution of accepted_rows so I can see how our pipeline is performing?"},{"title":"Data quality anomaly detection for ingestion logs","prompt":"Run a quality audit on these ingestion batch rows I'm uploading — I want to see if there are data quality issues and get a distribution breakdown of received_rows across the date range."},{"title":"Cross-group ingestion volume comparison","prompt":"I've got ingestion batch records for four dataset groups spanning October 2026. Can you give me a record quality report plus a distribution summary for received_rows so I can compare volume across groups?"}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit covering completeness, validity, and consistency of the supplied ingestion batch records; and (2) a numeric distribution summary (e.g. min, max, mean, percentiles, histogram buckets) for the selected field (received_rows or accepted_rows) across all submitted rows. Both reports are computed locally against the supplied data only — no external lookups or predictions.","failureModes":["Fewer than 1 row submitted — returns validation error","More than 200 rows submitted — exceeds maximum batch limit","Invalid date format (not YYYY-MM-DD) — schema validation failure","Numeric field values outside allowed range (±1,000,000,000,000) — rejected","Missing required fields (row_id, dataset_group, date) — schema error","Invalid field selector enum value — request rejected"],"whenToPreferThis":"Choose this endpoint when you need both a quality audit and a numeric distribution report on data ingestion batch records (received_rows/accepted_rows) in a single $0.01 call covering up to 200 rows, without needing real-time external data, predictions, or professional assessment. Ideal for data engineers and analysts who want automated batch-level QA and statistical summaries on ETL ingestion logs.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:27.530Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-record-quality-audit-numeric-distribution-81aa1fc6"}