{"uid":"cap_JNGAHpv0dULfGLrSmEaku","slug":"transformation-throughput-category-frequencies-two-measure-correlation-2f1af5d3","name":"Transformation Throughput — Category Frequencies + Two-Measure Correlation","description":"Transformation throughput — Category frequencies + Two-measure correlation: Category frequencies + 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-13-108?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}}},"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_EXutmwBkfm0056HxgioUC","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 transformation throughput records by computing category frequencies for dataset groups and Pearson/statistical correlation between processed_rows and duration_seconds, returning two independent analytical reports.","exampleAgentPrompt":"I have up to 200 rows of transformation throughput logs with fields like row_id, dataset_group, date, processed_rows, and duration_seconds — can you run a category frequency count by dataset_group and also compute the correlation between processed_rows and duration_seconds across all records?","exampleUseCases":[{"title":"ETL pipeline performance correlation","prompt":"Here are 150 records from our nightly ETL jobs with each job's dataset_group, date, processed_rows, and duration_seconds — can you tell me how often each group appears and whether there's a meaningful correlation between how many rows were processed and how long each job took?"},{"title":"Data team throughput group audit","prompt":"I want to understand our transformation workload distribution — I have 80 throughput records with dataset_group, processed_rows, and duration_seconds per run. Can you give me frequency counts by group and a correlation between row volume and processing time?"},{"title":"Batch size vs runtime analysis","prompt":"Can you analyze these 200 data pipeline records and tell me which dataset groups appear most frequently, and whether bigger batches (more processed_rows) actually take longer (higher duration_seconds)?"}],"resultDescription":"Returns two independent analytical reports: (1) category frequency counts showing how many records belong to each dataset_group, and (2) a two-measure correlation analysis between processed_rows and duration_seconds, including the correlation coefficient and supporting statistics. All computation is performed on the supplied data rows with no external lookups.","failureModes":["Fewer than 1 row submitted — minimum row count not met","More than 200 rows submitted — exceeds maximum row limit","Missing required fields (row_id, dataset_group, date, processed_rows, duration_seconds) on any row","Invalid date format — must match YYYY-MM-DD pattern","Insufficient numeric variance in processed_rows or duration_seconds to compute a meaningful correlation","Payment not provided or insufficient — endpoint requires 0.01 USDC per call via x402 protocol"],"whenToPreferThis":"Choose this endpoint when you have transformation throughput records (with processed_rows and duration_seconds fields) and need both a group-level frequency breakdown and a statistical correlation between the two numeric measures in a single paid call. It is ideal for small-to-medium datasets (up to 200 rows) where you want two analytical reports bundled at minimal cost ($0.01 USDC). Prefer it over general analytics services when working within a data engineering or ETL monitoring context and when all data is already available locally without needing external enrichment or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:45:40.043Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-category-frequencies-two-measure-correlation-2f1af5d3"}