{"uid":"cap_u6MkFUiZwyTJTbszIPj50","slug":"transformation-throughput-string-normalisation-trailing-mean-series-a2df391b","name":"Transformation Throughput — String Normalisation + Trailing Mean Series","description":"Transformation throughput — String normalisation + Trailing mean series: String normalisation + Trailing mean 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-13-028?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_kFebtTZjZwsH7URGvRjfz","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":"Performs string normalisation and trailing mean series analysis on transformation throughput records (processed_rows, duration_seconds) for up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Can you run a string normalisation and trailing mean series analysis on my transformation throughput data — I have 50 rows with processed_rows and duration_seconds fields, I want the trailing mean on processed_rows with a window of 7?","exampleUseCases":[{"title":"ETL Pipeline Throughput Smoothing","prompt":"I have 120 rows of daily ETL job records with processed_rows and duration_seconds — can you compute a trailing mean series with a window of 5 on processed_rows and also normalise the dataset_group strings for me?"},{"title":"Data Pipeline Duration Trend Analysis","prompt":"Run a trailing mean analysis on my transformation throughput logs — 80 rows covering the last quarter — using duration_seconds as the field and a window of 10, and clean up the string values in the group labels at the same time."},{"title":"Multi-Group Batch Processing Review","prompt":"I've got 200 rows of transformation throughput records split across several dataset groups and I need a rolling window average of 14 on processed_rows plus string normalisation on the group names — can you produce both reports?"}],"resultDescription":"Two analytical reports: (1) a string normalisation report cleaning dataset_group and other string fields, and (2) a trailing mean series for the selected numeric field (processed_rows or duration_seconds) computed over the specified rolling window — all derived from the supplied input rows with no external lookups.","failureModes":["Fewer than 1 row supplied — minimum row count not met","More than 200 rows supplied — exceeds maximum row limit","Window size larger than number of rows — trailing mean undefined for early rows","Invalid date format (must match YYYY-MM-DD pattern)","Missing required fields (row_id, dataset_group, date, processed_rows, duration_seconds)","Null numeric values reducing effective window coverage","row_id exceeds 80-character limit","Payment not processed — x402 payment required before response"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and trailing mean series computed together on transformation throughput records (processed_rows and/or duration_seconds) in a single paid call. It is ideal for data engineering teams cleaning and smoothing ETL pipeline metrics in batch, covering up to 200 rows. Prefer alternatives if you need only one of the two reports, need more than 200 rows, or require real-time lookups, predictions, or external data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:42:27.820Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-string-normalisation-trailing-mean-series-a2df391b"}