{"uid":"cap_92HfzYqytsjaMd8r3kMQA","slug":"transformation-throughput-analytics-exact-row-deduplication-numeric-1ba5dc6d","name":"Transformation Throughput Analytics — Exact Row Deduplication + Numeric Distribution","description":"Transformation throughput — Exact row deduplication + Numeric distribution: Exact row deduplication + Numeric distribution 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-13-039?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_ZHmE9r_z5li6_HFeFAy41","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":"Deduplicates transformation throughput records and computes numeric distribution statistics for processed_rows or duration_seconds fields across up to 200 rows.","exampleAgentPrompt":"I have 150 transformation throughput records with row_id, dataset_group, date, processed_rows, and duration_seconds — can you deduplicate them exactly and give me a numeric distribution report on the processed_rows field?","exampleUseCases":[{"title":"Deduplicating ETL pipeline throughput logs","prompt":"I've got 200 daily ETL job records with row_id, dataset_group, date, processed_rows, and duration_seconds — please remove exact duplicate rows and show me the numeric distribution of processed_rows."},{"title":"Auditing duration spread across pipeline runs","prompt":"Here are 80 transformation throughput records from last month — deduplicate them and give me the numeric distribution of duration_seconds so I can see how long jobs are taking."},{"title":"Quality check on grouped dataset throughput","prompt":"I need to audit these 120 throughput records across group-a and group-b — find any exact duplicate rows and compute the distribution of processed_rows values."}],"resultDescription":"Returns two reports: (1) an exact row deduplication report identifying and removing duplicate records from the input dataset, and (2) a numeric distribution report summarizing the statistical spread of the chosen field (processed_rows or duration_seconds) across the deduplicated records. All computation is done locally against the supplied data with no external lookups.","failureModes":["Input exceeds 200 rows — request rejected with validation error","Missing required fields (row_id, date, processed_rows, duration_seconds) — schema validation failure","Invalid date format (not YYYY-MM-DD) — pattern validation error","All rows are duplicates, leaving empty deduplicated set — distribution report may be empty or trivial","Null numeric values in selected field — distribution may exclude or flag null entries"],"whenToPreferThis":"Choose this endpoint when you have up to 200 transformation throughput records and need both exact duplicate removal and a numeric distribution analysis of processed_rows or duration_seconds in a single call. Prefer it over general-purpose analytics when your data fits the specific schema (row_id, dataset_group, date, processed_rows, duration_seconds) and you want two bundled reports at minimal cost without any external data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:39:08.218Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-exact-row-deduplication-numeric-1ba5dc6d"}