{"uid":"cap_1GZvW5MPIkeE8_q5e8vht","slug":"transformation-throughput-analytics-category-frequencies-adjacent-row-0a8dfb81","name":"Transformation Throughput Analytics — Category Frequencies + Adjacent Row Changes","description":"Transformation throughput — Category frequencies + Adjacent row changes: Category frequencies + Adjacent row changes 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-13-104?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_5fbf1jaaQy2LIis1XKC0A","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 to produce category frequency distributions and adjacent row change reports for processed_rows or duration_seconds fields.","exampleAgentPrompt":"Can you analyze my ETL throughput records — here are up to 200 rows with row_id, dataset_group, date, processed_rows, and duration_seconds — and give me both the category frequency breakdown by dataset_group and the adjacent row changes for processed_rows?","exampleUseCases":[{"title":"ETL pipeline throughput audit","prompt":"I have 150 transformation run records with dataset groups like 'customer-data' and 'orders', each with processed_rows and duration_seconds. Can you give me the category frequency counts by group and show me how processed_rows changed between consecutive runs?"},{"title":"Duration spike detection across pipeline stages","prompt":"Here are 80 rows from our nightly pipeline with row_id, date, dataset_group, and duration_seconds. Run the adjacent row changes report on duration_seconds so I can see where processing time jumped significantly between steps."},{"title":"Dataset group distribution for capacity planning","prompt":"I'm trying to understand how our transformation workload is distributed. Can you take these 200 records with processed_rows and dataset_group fields and show me both how frequently each group appears and how processed_rows shifts row by row?"}],"resultDescription":"Returns two analytical reports: (1) category frequency counts showing how often each dataset_group value appears across the submitted rows, and (2) adjacent row changes showing the delta in the selected field (processed_rows or duration_seconds) between each consecutive row. Both reports are computed locally from the supplied data 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 be YYYY-MM-DD)","Field selector not one of 'processed_rows' or 'duration_seconds'","Numeric values outside allowed range (±1,000,000,000,000)"],"whenToPreferThis":"Choose this endpoint when you need both a categorical frequency distribution and a consecutive-row delta analysis on transformation throughput data (processed_rows, duration_seconds) in a single $0.01 call covering up to 200 rows. Prefer it over general analytics APIs when working specifically with ETL or data pipeline logs segmented by dataset_group, and when you need two complementary reports (frequency + change detection) without external data lookups or live connections.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:41:46.747Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-category-frequencies-adjacent-row-0a8dfb81"}