{"uid":"cap_coMz784YrAwC65mZtEYNX","slug":"transformation-throughput-exact-row-deduplication-date-by-category-a3c4a1ef","name":"Transformation Throughput — Exact Row Deduplication + Date by Category Pivot","description":"Transformation throughput — Exact row deduplication + Date by category pivot: Exact row deduplication + Date by category pivot 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-13-052?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_xdxn7lZdb_wrFhu7NXz2Y","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 exact duplicate rows and pivots transformation throughput metrics (processed_rows or duration_seconds) by date and dataset_group category for up to 200 records.","exampleAgentPrompt":"I have 150 transformation throughput records with row_id, dataset_group, date, processed_rows, and duration_seconds — can you deduplicate them and pivot the processed_rows field by date and dataset_group category?","exampleUseCases":[{"title":"ETL pipeline deduplication and pivot","prompt":"Here are 80 rows from our nightly ETL runs with row_id, dataset_group, date, processed_rows, and duration_seconds — please deduplicate exact duplicates and give me a pivot of processed_rows by date and group."},{"title":"Duration seconds pivot for pipeline audit","prompt":"I want to audit our transformation throughput — here are 120 records with dataset_group, date, and duration_seconds fields. Deduplicate any exact duplicate rows and pivot duration_seconds by date and category so I can spot anomalies."},{"title":"Data quality check on ingestion metrics","prompt":"Can you run deduplication and a date-by-category pivot on these 60 transformation records? I want to use the processed_rows field for the pivot and need the two reports together."}],"resultDescription":"Returns two analytical reports: (1) an exact row deduplication report identifying and removing identical records from the input, and (2) a date-by-category pivot table showing the selected metric (processed_rows or duration_seconds) broken down by date and dataset_group, computed entirely from the supplied data with no external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, dataset_group, processed_rows, duration_seconds) — validation error","Invalid date format (must match YYYY-MM-DD) — schema validation failure","field enum value not in ['processed_rows','duration_seconds'] — rejected","Empty rows array (minItems:1 violated) — error","Payment of 0.01 USDC not provided — 402 response"],"whenToPreferThis":"Choose this endpoint when you need both exact-duplicate row removal and a date-by-category pivot on transformation throughput data (processed_rows or duration_seconds) in a single call for up to 200 rows, with no external data sources or live lookups required. Prefer it over generic analytics tools when working specifically with pipeline/ETL metrics that have a dataset_group dimension and a date dimension and you want two bundled reports at low cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:41:43.059Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-exact-row-deduplication-date-by-category-a3c4a1ef"}