{"uid":"cap_lpwyXkSKRd5HRMZ8S6_KE","slug":"transformation-throughput-daily-sum-series-two-measure-correlation-a221e96e","name":"Transformation Throughput — Daily Sum Series + Two-Measure Correlation","description":"Transformation throughput — Daily sum series + Two-measure correlation: Daily sum series + 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-13-141?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"}}},"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_B6n4bjgNibT-wuS9k8k1R","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":"Computes a daily sum time series and a Pearson correlation between processed_rows and duration_seconds from user-supplied transformation throughput records (up to 200 rows).","exampleAgentPrompt":"Can you analyze my transformation throughput records — here are up to 200 rows with date, dataset_group, processed_rows, and duration_seconds — and give me both a daily sum series for processed_rows and the correlation between processed_rows and duration_seconds?","exampleUseCases":[{"title":"ETL pipeline throughput daily summary","prompt":"I have 150 records from our nightly ETL jobs, each with a date, group name, number of rows processed, and how many seconds they took. Can you give me the daily total of processed_rows across all groups and also tell me how strongly row count correlates with duration?"},{"title":"Data pipeline efficiency correlation check","prompt":"Here are 80 transformation run records with dates, dataset groups, processed_rows, and duration_seconds. I want to know the daily sum of duration_seconds and whether there's a meaningful correlation between how long runs take and how many rows they process."},{"title":"Batch job throughput trend analysis","prompt":"I've got two weeks of batch processing logs — about 120 rows — each tagged by date and group, with processed_rows and duration_seconds. Please compute the daily totals for processed_rows and show me the correlation between processed rows and processing time."}],"resultDescription":"Returns two analytical reports: (1) a daily sum time series showing total values of the selected field (processed_rows or duration_seconds) aggregated by date, and (2) a correlation coefficient between processed_rows and duration_seconds across all supplied records. Both computed locally from the submitted data with no external lookups.","failureModes":["Exceeding 200 row limit returns validation error","Missing required fields (row_id, date, processed_rows, duration_seconds) causes rejection","Malformed date strings not matching YYYY-MM-DD pattern cause schema validation failure","Null values in both measure columns may degrade or nullify correlation computation","Fewer than 2 non-null paired observations may make correlation undefined"],"whenToPreferThis":"Choose this endpoint when you need both a daily aggregate time series and a statistical correlation between processed_rows and duration_seconds from your own supplied throughput data — all in a single call for $0.01 USDC. Best for small to medium ETL/pipeline datasets up to 200 rows where you want offline, deterministic analytics without any external data enrichment or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:41:43.772Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-daily-sum-series-two-measure-correlation-a221e96e"}