{"uid":"cap_-1sLKoI9WM0WavSPPEpWi","slug":"transformation-throughput-analytics-trailing-mean-series-equal-width-3a239d68","name":"Transformation Throughput Analytics — Trailing Mean Series + Equal-Width Histogram","description":"Transformation throughput — Trailing mean series + Equal-width histogram: Trailing mean series + 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-13-148?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"},"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_61IrSKXWsWwBg2290_DQG","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":"Computes a trailing mean time series and an equal-width histogram for transformation throughput data (processed_rows, duration_seconds) supplied by the caller, returning two analytical reports.","exampleAgentPrompt":"Can you run a trailing mean series and equal-width histogram on my transformation throughput records? I've got 50 rows of processed_rows and duration_seconds data by date and dataset_group — use a window of 7 and split into 10 bins, analyzing the processed_rows field.","exampleUseCases":[{"title":"ETL pipeline throughput trend review","prompt":"I have 120 rows of daily ETL job metrics with processed_rows and duration_seconds per dataset group. Run a trailing mean series with a window of 5 and a 10-bin histogram on processed_rows so I can see trends and distribution."},{"title":"Duration distribution analysis for data jobs","prompt":"Can you analyze the duration_seconds from my transformation logs — I'll supply 80 records. Give me a trailing mean with a window of 3 and an equal-width histogram with 8 bins so I can spot outliers in job runtime."},{"title":"Dataset group performance comparison","prompt":"I want to understand throughput patterns across two dataset groups over the last quarter. Here are 150 rows with processed_rows and duration_seconds — please compute a trailing mean series (window 4) and a 6-bin histogram on duration_seconds."}],"resultDescription":"Returns two analytical reports for the specified field: (1) a trailing mean time series showing the rolling average over the configured window across the supplied date-ordered rows, and (2) an equal-width histogram with the configured number of bins summarizing the distribution of values. Both reports are derived purely from the supplied input data with no external lookups.","failureModes":["Fewer than 1 row supplied — minimum 1 row required","More than 200 rows submitted — hard cap exceeded, request rejected","Window size larger than number of supplied rows — trailing mean may be undefined or degenerate","Invalid date format not matching YYYY-MM-DD pattern — schema validation error","Null values in processed_rows or duration_seconds — may reduce effective sample size or produce partial results","bins parameter outside 1–30 range — validation error","window parameter outside 2–200 range — validation error","field value not in enum [processed_rows, duration_seconds] — validation error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 transformation throughput records with processed_rows and duration_seconds fields and need both a rolling/trailing mean time series and a frequency histogram in a single call for $0.01 USDC. It is ideal for lightweight, self-contained statistical summarization of ETL or data pipeline metrics without requiring a full analytics platform. Prefer it over general-purpose analytics services when your data is already structured in the required row format and you want two complementary views (trend + distribution) returned together efficiently.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:42:06.096Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-analytics-trailing-mean-series-equal-width-3a239d68"}