{"uid":"cap_hEh_3kYiA9WHESE3atgS4","slug":"data-ingestion-batches-numeric-interval-filter-two-measure-correlation-9db9e7fe","name":"Data Ingestion Batches — Numeric Interval Filter + Two-Measure Correlation","description":"Data ingestion batches — Numeric interval filter + Two-measure correlation: Numeric interval filter + 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-01-131?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_7wgpgNCd2ZTRNvAaufwZu","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":"Filters data ingestion batch records by a numeric interval and computes the correlation between received_rows and accepted_rows for up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"I have ingestion batch records with received_rows and accepted_rows across multiple dataset groups — can you filter records where received_rows is between 5 and 50, and then compute the correlation between received_rows and accepted_rows across all 4 rows I'm sending you?","exampleUseCases":[{"title":"Pipeline acceptance rate correlation check","prompt":"Here are my daily ingestion batch records with received_rows and accepted_rows for the last week — filter down to batches where received_rows is between 10 and 100, then tell me how strongly received_rows and accepted_rows are correlated in that range."},{"title":"Dataset group quality interval analysis","prompt":"I want to understand the relationship between received and accepted rows for group-a and group-b batches — filter to records where accepted_rows falls between 1 and 5, and compute the correlation between received_rows and accepted_rows on those filtered rows."},{"title":"Ingestion anomaly range investigation","prompt":"Can you take my 20 ingestion batch rows, filter to those where received_rows is between 0 and 30, and run the two-measure correlation report on received_rows and accepted_rows so I can see if something unusual is happening in that range?"}],"resultDescription":"Returns two independent analytical reports based on the supplied data: (1) the subset of ingestion batch records where the selected field falls within the specified numeric interval [minimum, maximum], and (2) a correlation analysis between received_rows and accepted_rows across the filtered or full dataset — computed entirely locally using shared analytical engines, with no external lookups or predictions.","failureModes":["Input array exceeds 200 rows — request is rejected","Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) cause validation error","Date values not matching YYYY-MM-DD pattern are rejected","Numeric values outside ±1,000,000,000,000 bounds cause schema validation failure","Empty rows array (minItems:1 not satisfied) causes rejection","Minimum greater than maximum produces an empty filtered result set","All null values for a measure prevents meaningful correlation computation"],"whenToPreferThis":"Choose this endpoint when you have up to 200 data ingestion batch records with received_rows and accepted_rows fields and need both interval-based filtering and a correlation analysis between those two measures in a single low-cost call ($0.01 USDC). It is ideal for pipeline QA, data quality monitoring, or acceptance rate analysis where you supply the data directly and want fast local computation without any external data lookup or live API dependency.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T00:47:00.209Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-numeric-interval-filter-two-measure-correlation-9db9e7fe"}