{"uid":"cap_PrVPI1YXi3w2ajB5UGgqp","slug":"data-ingestion-batches-record-quality-audit-two-measure-correlation-122bc1b9","name":"Data Ingestion Batches — Record Quality Audit & Two-Measure Correlation","description":"Data ingestion batches — Record quality audit + Two-measure correlation: Record quality audit + Two-measure correlation 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-01-015?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_5qA7ySjBezWIujPkDAHI2","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 Pearson/Spearman correlation analysis between received_rows and accepted_rows for up to 200 data ingestion batch records, returning two independent analytical reports.","exampleAgentPrompt":"Can you run a quality audit and correlation analysis on my data ingestion batch records? I have up to 50 rows with received_rows and accepted_rows for groups like 'group-a' and 'group-b' across dates in October 2026 — I want both the record quality report and the two-measure correlation between received and accepted rows.","exampleUseCases":[{"title":"ETL pipeline acceptance rate audit","prompt":"I have daily ingestion batch data for my ETL pipeline — each row has a dataset group, date, and counts for received_rows and accepted_rows. Can you audit the record quality and tell me if there are any patterns or correlations between what we receive and what gets accepted?"},{"title":"Data rejection spike investigation","prompt":"Our data team noticed a spike in rejected rows last week across several dataset groups. Can you run a quality audit and correlation check on these 80 ingestion batch records to see where the quality breaks down and whether received and accepted row counts are still correlated?"},{"title":"Multi-group ingestion health check","prompt":"We ingest data from two groups — 'finance' and 'ops' — daily over the past month. Here are 120 batch records with received and accepted row counts. Can you produce a quality audit and a two-measure correlation report to assess overall ingestion health?"}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit covering completeness, validity flags, and acceptance rate metrics per row and aggregate, and (2) a two-measure correlation report quantifying the statistical relationship between received_rows and accepted_rows across the supplied batch records. No external data is fetched; all analysis is performed locally on the supplied rows.","failureModes":["Fewer than 1 row supplied — minimum 1 row required","More than 200 rows supplied — exceeds max batch size","Missing required fields (row_id, date, received_rows, accepted_rows) — validation error","date field not in YYYY-MM-DD format — pattern mismatch error","received_rows or accepted_rows outside ±1,000,000,000,000 range — schema rejection","All accepted_rows or received_rows are null — insufficient data for correlation"],"whenToPreferThis":"Choose this endpoint when you need both a record-level quality audit and a statistical correlation between received and accepted row counts in a single API call for up to 200 ingestion batch records. It is ideal for data engineering teams monitoring ETL pipeline health, acceptance rate trends, or batch data quality without needing live lookups or external enrichment. Prefer this over generic analytics services when your data is already structured with row_id, dataset_group, date, received_rows, and accepted_rows fields.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T00:56:14.237Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-record-quality-audit-two-measure-correlation-122bc1b9"}