{"uid":"cap_odPX5JKL7hsWZvAYFPxuU","slug":"data-ingestion-batches-numeric-row-ordering-two-measure-correlation-7b2c5886","name":"Data Ingestion Batches — Numeric Row Ordering + Two-Measure Correlation","description":"Data ingestion batches — Numeric row ordering + Two-measure correlation: Numeric row ordering + 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-01-120?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_h0TL5rW4ckW9miWpby4OR","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":"Analyzes up to 200 data ingestion batch records by ranking rows numerically and computing correlation between received_rows and accepted_rows.","exampleAgentPrompt":"I have up to 200 rows of data ingestion batch records with received_rows and accepted_rows — can you rank them numerically by received_rows and also compute the correlation between received_rows and accepted_rows across all the batches?","exampleUseCases":[{"title":"Pipeline acceptance rate correlation check","prompt":"I've got 150 daily ingestion batch records for my ETL pipeline, each with a received_rows and accepted_rows count — can you rank them by received_rows and tell me how correlated the two measures are across all batches?"},{"title":"Dataset group volume ordering","prompt":"Here are my ingestion batches for groups alpha, beta, and gamma over the past month — rank the rows by received_rows count and compute the correlation between received_rows and accepted_rows so I can see if higher-volume batches tend to have better acceptance."},{"title":"Data quality trend analysis","prompt":"I want to know if there's a strong correlation between how many rows my pipeline receives versus how many it accepts — I have 80 batch records, can you order them numerically by received_rows and run the two-measure correlation analysis on received_rows and accepted_rows?"}],"resultDescription":"Returns two analytical reports: (1) a numeric ordering of the submitted rows ranked by the selected field (received_rows or accepted_rows), and (2) a correlation analysis between received_rows and accepted_rows across all supplied records. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 row submitted — minimum 1 row required","More than 200 rows submitted — maximum batch size exceeded","Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) on any row","Date field not matching YYYY-MM-DD format","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)","All accepted_rows or received_rows values are null — correlation cannot be computed","Invalid field enum value provided (must be 'received_rows' or 'accepted_rows')"],"whenToPreferThis":"Choose this endpoint when you have up to 200 data ingestion batch records and need both a numeric ranking of rows and a correlation between received_rows and accepted_rows in a single low-cost call. It is ideal for ETL monitoring, pipeline quality checks, and batch acceptance analysis where you supply your own data and need two analytical outputs simultaneously without any external data fetching or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T18:48:38.712Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-numeric-row-ordering-two-measure-correlation-7b2c5886"}