{"uid":"cap_12fZRqo2NTLoQWjUY2728","slug":"transformation-throughput-analytics-numeric-interval-filter-two-a7f22ce6","name":"Transformation Throughput Analytics: Numeric Interval Filter + Two-Measure Correlation","description":"Transformation throughput — Numeric interval filter + Two-measure correlation: Numeric interval filter + Two-measure correlation for supplied transformation throughput records (processed_rows, duration_seconds). 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-13-131?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","processed_rows","duration_seconds"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"processed_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"duration_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","processed_rows":10,"duration_seconds":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","processed_rows":20,"duration_seconds":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","processed_rows":15,"duration_seconds":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","processed_rows":30,"duration_seconds":4}],"maxItems":200,"minItems":1},"field":{"enum":["processed_rows","duration_seconds"],"type":"string","default":"processed_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_eHrjVqsRcToSJ8JpejHPN","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 transformation throughput records by a numeric interval and computes a two-measure correlation between processed_rows and duration_seconds, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have a list of ETL job records with processed_rows and duration_seconds — can you filter them to only include jobs where processed_rows is between 10 and 500, and then compute the correlation between processed_rows and duration_seconds across those filtered records?","exampleUseCases":[{"title":"Pipeline performance correlation check","prompt":"Here are my 80 transformation job logs with date, row_id, dataset_group, processed_rows, and duration_seconds — filter to jobs where duration_seconds is between 5 and 120, then tell me how strongly processed_rows correlates with duration_seconds in that range."},{"title":"Throughput outlier range analysis","prompt":"I want to focus only on jobs that processed between 1000 and 50000 rows — can you filter my 150 ETL records by that processed_rows range and show me the correlation between processed_rows and duration_seconds for those jobs?"},{"title":"Dataset group efficiency review","prompt":"I have transformation throughput records for two dataset groups over the past quarter — filter to rows where processed_rows is between 500 and 10000 and run the two-measure correlation report on processed_rows versus duration_seconds so I can see which group is more efficient."}],"resultDescription":"Returns two analytical reports: (1) a filtered subset of the input rows where the chosen field (processed_rows or duration_seconds) falls within the specified [minimum, maximum] interval, and (2) a correlation analysis between processed_rows and duration_seconds across the filtered dataset, both computed locally without external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","Missing required fields (row_id, date, processed_rows, duration_seconds) in any row — validation error","minimum greater than maximum — invalid interval returns empty filter result","Null values in processed_rows or duration_seconds may reduce correlation sample size or cause NaN results","Date strings not matching YYYY-MM-DD pattern will fail schema validation"],"whenToPreferThis":"Choose this endpoint when you need both a numeric range filter and a two-measure correlation report on transformation throughput data (processed_rows, duration_seconds) in a single low-cost call. It is ideal for lightweight, on-demand pipeline analytics without setting up a full analytics stack. Prefer it over general-purpose analytics services when your dataset fits within 200 rows and you need two co-located reports at $0.01 USDC per call with no external data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:42:25.431Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-numeric-interval-filter-two-a7f22ce6"}