{"uid":"cap_Sl9eL-C66UhJ-G3KN8JTU","slug":"transformation-throughput-analytics-numeric-row-ordering-two-measure-2a466439","name":"Transformation Throughput Analytics: Numeric Row Ordering + Two-Measure Correlation","description":"Transformation throughput — Numeric row ordering + Two-measure correlation: Numeric row ordering + 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-13-120?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_sHNBvLs1HzHQ0EkJ8tH_e","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":"Ranks transformation throughput records by processed_rows or duration_seconds and computes the correlation between those two measures across up to 200 supplied rows.","exampleAgentPrompt":"Rank my transformation job records by processed_rows and tell me how strongly processed_rows and duration_seconds correlate — here are 4 rows: row-1 group-a 2026-10-01 processed_rows=10 duration_seconds=1, row-2 group-b 2026-10-02 processed_rows=20 duration_seconds=2, row-3 group-a 2026-10-03 processed_rows=15 duration_seconds=3, row-4 group-b 2026-10-04 processed_rows=30 duration_seconds=4.","exampleUseCases":[{"title":"ETL pipeline throughput audit","prompt":"I have 50 daily ETL run records with processed_rows and duration_seconds — rank them by processed_rows and tell me how correlated those two measures are so I can spot inefficient jobs."},{"title":"Batch job performance review","prompt":"Can you order these 30 batch transformation records by duration_seconds and compute the correlation between duration and rows processed? I want to see if longer jobs are actually doing more work."},{"title":"Data volume vs speed analysis","prompt":"Take my 100 pipeline throughput records and give me a numeric ranking by processed_rows plus the two-measure correlation report so I can understand whether processing time scales linearly with data volume."}],"resultDescription":"Returns two analytical reports: (1) the input rows sorted numerically by the specified field (processed_rows or duration_seconds), and (2) the correlation coefficient and related statistics between processed_rows and duration_seconds across all supplied rows. No external data is fetched; analysis is performed entirely on the supplied records.","failureModes":["Fewer than 1 row supplied — rejected with validation error","More than 200 rows supplied — rejected, maxItems limit exceeded","Missing required fields (row_id, processed_rows, duration_seconds, date, dataset_group) — schema validation error","Null values in both measure fields for all rows — correlation computation may be undefined","Invalid date format (not YYYY-MM-DD) — schema validation error","Payment not confirmed — endpoint returns 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you have up to 200 transformation throughput records with processed_rows and duration_seconds fields and need both a ranked ordering and a correlation report in a single $0.01 call, without needing live data lookup, predictions, or external enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:42:19.989Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-numeric-row-ordering-two-measure-2a466439"}