{"uid":"cap_4y8EJyBn2X6BzQJiiqjH9","slug":"transformation-throughput-duplicate-key-report-equal-width-histogram-fc94b520","name":"Transformation Throughput — Duplicate Key Report + Equal-Width Histogram","description":"Transformation throughput — Duplicate key report + Equal-width histogram: Duplicate key report + Equal-width histogram 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-13-064?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_mVNQ3IG2dJimV84LPrpeZ","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 a duplicate key report and an equal-width histogram for processed_rows or duration_seconds fields.","exampleAgentPrompt":"Check my transformation throughput records for duplicate row IDs and also generate an equal-width histogram with 10 bins for the processed_rows field — here are my 50 pipeline run records with row_id, dataset_group, date, processed_rows, and duration_seconds.","exampleUseCases":[{"title":"ETL pipeline data quality audit","prompt":"I have 120 transformation run records from last month with row_id, dataset_group, date, processed_rows, and duration_seconds — can you find any duplicate row IDs and show me a histogram of processed_rows using 8 bins?"},{"title":"Pipeline duration distribution analysis","prompt":"Run a duplicate key check and a 5-bin equal-width histogram on duration_seconds for these 80 transformation throughput records — I want to see if any jobs have the same ID and how the runtime is distributed."},{"title":"Data integrity check before reporting","prompt":"Before I finalize my weekly pipeline report, check these 200 transformation throughput rows for duplicate keys and give me a histogram of processed_rows with 15 bins so I can spot anomalies."}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying any repeated row_id values across the submitted records, and (2) an equal-width histogram showing the frequency distribution of the selected numeric field (processed_rows or duration_seconds) divided into the specified number of bins. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected due to row limit","Missing required fields (row_id, date, processed_rows, duration_seconds) on any row — validation error","bins parameter out of range (must be 1–30) — validation error","Invalid date format (must match YYYY-MM-DD) — parsing error","All numeric values are null — histogram cannot be computed","Non-numeric values submitted for processed_rows or duration_seconds — type error"],"whenToPreferThis":"Choose this endpoint when you need both a duplicate key audit and a histogram distribution analysis on transformation throughput data (processed_rows and/or duration_seconds) in a single $0.01 call covering up to 200 rows. It is ideal for data engineers performing quick data quality checks on ETL pipeline logs without needing live data lookups, predictions, or external enrichment. Prefer it over single-report endpoints when you need both deduplication insight and numeric distribution in one pass.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:42:12.623Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-duplicate-key-report-equal-width-histogram-fc94b520"}