{"uid":"cap_JVRttka4q0WYl8Csvb0e6","slug":"transformation-throughput-analytics-exact-row-deduplication-daily-sum-a5e4c039","name":"Transformation Throughput Analytics — Exact Row Deduplication + Daily Sum Series","description":"Transformation throughput — Exact row deduplication + Daily sum series: Exact row deduplication + Daily sum series 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-13-044?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_NpAi4lXEjQbDDueyOy1vS","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 by exact row match and computes a daily sum time series for processed_rows or duration_seconds fields, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Deduplicate these transformation throughput records and give me a daily sum series for processed_rows — I have up to 150 rows with fields row_id, dataset_group, date, processed_rows, and duration_seconds across two dataset groups.","exampleUseCases":[{"title":"ETL pipeline daily throughput summary","prompt":"I have 120 rows of transformation logs with row_id, dataset_group, date, processed_rows, and duration_seconds — can you remove exact duplicate rows and then give me a daily sum of processed_rows so I can see how many rows my pipeline handled each day?"},{"title":"Duplicate detection in pipeline duration records","prompt":"My pipeline emitted some duplicate throughput records. Can you deduplicate them by exact row match and also compute a daily total for duration_seconds across all groups? I'll send you up to 80 rows."},{"title":"Cross-group daily aggregation after deduplication","prompt":"I've got throughput data from two dataset groups — group-a and group-b — for October, about 200 rows total. Please deduplicate them exactly and show me the daily sum series for processed_rows so I can compare output volume by day."}],"resultDescription":"Returns two analytical reports: (1) an exact row deduplication report identifying and removing duplicate records from the supplied throughput data, and (2) a daily sum time series aggregating the selected numeric field (processed_rows or duration_seconds) by date — both computed locally from the supplied data with no external calls.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, processed_rows, duration_seconds) — validation error","Date values not in YYYY-MM-DD format — pattern validation failure","Numeric fields outside allowed range (±1,000,000,000,000) — schema rejection","Empty rows array — minItems constraint violation","Invalid field enum value (not processed_rows or duration_seconds) — schema error"],"whenToPreferThis":"Choose this endpoint when you need both exact row deduplication and a daily sum time series for transformation throughput data (processed_rows or duration_seconds) in a single $0.01 call covering up to 200 rows. Ideal for data engineers who want to clean pipeline logs and get a date-aggregated summary simultaneously without separate preprocessing steps. Prefer this over generic analytics tools when your data fits the throughput schema (row_id, dataset_group, date, processed metrics) and you want two bundled local reports with no external data lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:42:10.328Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-exact-row-deduplication-daily-sum-a5e4c039"}