{"uid":"cap_Or0uhHp6HYzq9SFgy3O5l","slug":"transformation-throughput-analytics-string-normalisation-numeric-c32e6d34","name":"Transformation Throughput Analytics — String Normalisation + Numeric Distribution","description":"Transformation throughput — String normalisation + Numeric distribution: String normalisation + 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-13-022?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_p5XOG-PUraNbnPsPa0F4D","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 by running string normalization and numeric distribution reports on processed_rows and duration_seconds fields for up to 200 rows.","exampleAgentPrompt":"Can you run string normalization and numeric distribution analysis on my transformation throughput data? I have 4 records with dataset groups 'group-a' and 'group-b', processed_rows ranging from 10 to 30, and duration_seconds from 1 to 4, and I want the report focused on the processed_rows field.","exampleUseCases":[{"title":"ETL pipeline performance audit","prompt":"I have a week's worth of ETL job records — each with a row_id, dataset group, date, processed row counts, and how long each job took in seconds. Can you run string normalization and numeric distribution reports on them so I can see how throughput varies across groups? Focus on processed_rows."},{"title":"Data team duration distribution check","prompt":"Our data team runs nightly batch jobs and I need to understand the distribution of duration_seconds across all our dataset groups. I've got 150 records with row IDs, group labels, dates, and timing data — can you normalize the string fields and give me a numeric distribution breakdown on duration_seconds?"},{"title":"Pipeline throughput baseline report","prompt":"Before we scale our pipeline infrastructure, I want a baseline statistical report on our current transformation throughput. Can you analyze these 80 records — each has a date, a row ID, a dataset group, processed row count, and duration in seconds — and give me string normalization plus numeric distribution reports on processed_rows?"}],"resultDescription":"Returns two independent analytical reports derived entirely from the supplied rows: (1) a string normalization report covering text fields such as dataset_group, and (2) a numeric distribution report for the selected field (processed_rows or duration_seconds), including statistical summaries. No external data is fetched; all analysis is performed on the submitted records only.","failureModes":["Fewer than 1 row submitted — minimum row count not met","More than 200 rows submitted — exceeds maximum batch size","Missing required fields (row_id, date, processed_rows, duration_seconds) — validation error","Date field not matching YYYY-MM-DD pattern — schema rejection","Invalid field enum value other than 'processed_rows' or 'duration_seconds' — rejected","Numeric values outside allowed range (-1T to 1T) — validation failure"],"whenToPreferThis":"Choose this endpoint when you need fast, offline statistical analysis of transformation throughput records — specifically string normalization combined with numeric distribution — without any live lookups, predictions, or external data enrichment. Ideal for data engineers or analysts who want a dual-report analytics pass on up to 200 ETL or batch pipeline records in a single cost-effective call ($0.01 USDC).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:39:04.752Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-string-normalisation-numeric-c32e6d34"}