{"uid":"cap_NJddu4fhNukIBGJnoL2ME","slug":"equipment-runtime-trailing-mean-series-d286a4cc","name":"Equipment Runtime Trailing Mean Series","description":"Equipment runtime - Trailing mean series: Trailing mean series for Equipment runtime. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded trailing mean series deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-analytics-equipment-runtime-rolling?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","machine","date","run_hours","downtime_hours"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"machine":{"type":"string","default":"","maxLength":80},"run_hours":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"downtime_hours":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","machine":"group-a","run_hours":10,"downtime_hours":1},{"date":"2026-10-02","row_id":"row-2","machine":"group-b","run_hours":20,"downtime_hours":2},{"date":"2026-10-03","row_id":"row-3","machine":"group-a","run_hours":15,"downtime_hours":3},{"date":"2026-10-04","row_id":"row-4","machine":"group-b","run_hours":30,"downtime_hours":4}],"maxItems":200,"minItems":1},"field":{"enum":["run_hours","downtime_hours"],"type":"string","default":"run_hours"},"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_GB-jA875OId56ImTufNhA","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 (rolling) mean time series for equipment run_hours or downtime_hours across up to 200 dated machine records using a specified window size.","exampleAgentPrompt":"Can you compute a trailing mean series for run_hours using a window of 7 across these machine records — I have about 50 rows with dates, machine IDs, run_hours, and downtime_hours for machines A, B, and C?","exampleUseCases":[{"title":"Smoothing factory floor runtime data","prompt":"I have 90 days of daily run_hours data for three factory machines — can you calculate a trailing mean with a window of 14 so I can see smoothed weekly trends over time?"},{"title":"Downtime trend analysis for maintenance scheduling","prompt":"Can you run a rolling mean on the downtime_hours field across my 150 equipment records using a window of 5? I want to spot machines that are trending toward more downtime."},{"title":"Equipment performance reporting for operations team","prompt":"I need to generate a smoothed run_hours series for our assembly line machines using a trailing window of 10 days — I have about 60 records with dates and machine IDs ready to send."}],"resultDescription":"A trailing mean time series where each row's value is replaced with the rolling average of the selected field (run_hours or downtime_hours) over the specified window of preceding records, grouped or ordered by date and machine, with up to 200 output records.","failureModes":["Fewer rows than the window size — insufficient data to compute trailing means for early records","Invalid date format — dates not matching YYYY-MM-DD pattern rejected","Missing required fields (row_id, machine, date, run_hours, downtime_hours) cause record-level errors","Exceeding 200 row limit results in request rejection","Null numeric values may produce null or skipped mean calculations for affected windows"],"whenToPreferThis":"Choose this endpoint when you have raw time-series equipment runtime or downtime data and need a smoothed rolling average to reduce noise, identify trends, or prepare data for reporting — particularly when working with up to 200 records and needing local numeric processing without external data enrichment or forecasting.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T19:04:52.555Z","isFirstParty":false,"canonicalSlug":"equipment-runtime-trailing-mean-series-d286a4cc"}