{"uid":"cap_Wk1mALqwp7v8I5wc75AQl","slug":"transformation-throughput-analytics-string-normalisation-equal-width-e3fdcaac","name":"Transformation Throughput Analytics: String Normalisation + Equal-Width Histogram","description":"Transformation throughput — String normalisation + Equal-width histogram: String normalisation + 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-13-031?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_41tOrxOJdhXyZaa_PoacP","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":"Generates a string-normalisation report and an equal-width histogram for transformation throughput records (processed_rows and/or duration_seconds) over up to 200 rows.","exampleAgentPrompt":"Analyse my transformation throughput data — here are 50 records with row_id, dataset_group, date, processed_rows, and duration_seconds — please string-normalise the data and produce an equal-width histogram for the processed_rows field using 10 bins.","exampleUseCases":[{"title":"ETL pipeline throughput distribution audit","prompt":"I have 120 ETL run records from last month with processed_rows and duration_seconds for each run. Can you string-normalise the data and give me an equal-width histogram with 8 bins for processed_rows so I can see how our throughput is distributed?"},{"title":"Pipeline duration outlier binning","prompt":"Here are 80 transformation job records — I want to understand how duration_seconds is distributed. Normalise the values and bucket them into 5 equal-width bins so I can spot if most jobs cluster around a short duration or if there are slow outliers."},{"title":"Multi-group throughput comparison","prompt":"I've got 150 rows of transformation data across two dataset groups — group-alpha and group-beta — with processed_rows logged for each date. Can you string-normalise and histogram the processed_rows field with 10 bins so I can see the distribution shape?"}],"resultDescription":"Returns two analytical reports: (1) a string-normalisation report over the supplied throughput records, and (2) an equal-width histogram dividing the chosen field (processed_rows or duration_seconds) into the specified number of bins, with bin boundaries and frequency counts — all computed locally without external lookups.","failureModes":["More than 200 rows submitted — exceeds maxItems limit","bins value outside 1–30 range — validation error","Missing required fields (row_id, date, processed_rows, duration_seconds) in any row — schema rejection","Invalid date format (not YYYY-MM-DD) — pattern mismatch error","Null values in the chosen field may affect histogram computation","All values identical — histogram may produce degenerate single-bin result"],"whenToPreferThis":"Choose this endpoint when you have up to 200 transformation throughput records and need both string normalisation and a histogram distribution report in a single low-cost call ($0.01 USDC). It is ideal for data engineers who want quick offline statistical summaries of ETL pipeline performance metrics (processed_rows or duration_seconds) without requiring a live database, prediction service, or external data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:42:21.614Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-string-normalisation-equal-width-e3fdcaac"}