{"uid":"cap_iSHyO29D4mnsZYvZ5AGCe","slug":"data-ingestion-batches-numeric-distribution-two-measure-correlation-7d3fb71e","name":"Data Ingestion Batches — Numeric Distribution + Two-Measure Correlation Analytics","description":"Data ingestion batches — Numeric distribution + Two-measure correlation: Numeric distribution + 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-01-081?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_qNcNSGUAGieXI4V5nwkMG","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 numeric distribution analysis and two-measure correlation reports on data ingestion batch records (received_rows and accepted_rows) for up to 200 rows.","exampleAgentPrompt":"Can you run a numeric distribution and correlation analysis on my data ingestion batch records? I have up to 50 rows with received_rows and accepted_rows values across different dataset groups — analyze the distribution of received_rows and show me how received_rows and accepted_rows correlate.","exampleUseCases":[{"title":"ETL pipeline acceptance rate analysis","prompt":"I have 30 days of ingestion batch data with received_rows and accepted_rows per day across two dataset groups — can you run a distribution report on received_rows and also show me the correlation between received and accepted row counts?"},{"title":"Data quality monitoring across groups","prompt":"Here are 80 batch ingestion records from our pipeline grouped by dataset. Can you compute the numeric distribution of accepted_rows and tell me how strongly accepted_rows correlates with received_rows?"},{"title":"Ingestion volume spread for capacity planning","prompt":"I need to understand the spread and correlation of my ingestion volumes — I have 150 batch records with received_rows and accepted_rows. Can you run the distribution and two-measure correlation reports on received_rows?"}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution breakdown for the selected measure (received_rows or accepted_rows) across the supplied rows, and (2) a two-measure correlation analysis between received_rows and accepted_rows — all computed locally against the supplied data, with no external lookups or predictions.","failureModes":["Exceeds 200-row limit — request rejected, must reduce dataset size","Missing required fields (row_id, date, dataset_group, received_rows, accepted_rows) — validation error","Invalid date format (must be YYYY-MM-DD) — schema validation failure","Numeric values outside allowed range (±1,000,000,000,000) — rejected","Empty rows array — no records to analyze","Insufficient payment (requires 0.01 USDC via x402) — payment error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 data ingestion batch records and need both a numeric distribution profile and a correlation analysis between received_rows and accepted_rows in a single affordable call ($0.01 USDC). Ideal for data engineers or analysts who want quick statistical insight into ETL pipeline performance without building custom analytics or calling external services.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:27.008Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-numeric-distribution-two-measure-correlation-7d3fb71e"}