{"uid":"cap_k0U1ZaW-4BNvDfF81mO-q","slug":"research-sample-recovery-trailing-mean-series-134a1e23","name":"Research Sample Recovery – Trailing Mean Series","description":"Research sample recovery - Trailing mean series: Trailing mean series for Research sample recovery. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded trailing mean series report.","url":"https://market.datapackvibe.com/x402/assistant-ar-analytics-sample-recovery-rolling?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","specimen","date","input_mass_g","recovered_mass_g"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"specimen":{"type":"string","default":"","maxLength":80},"input_mass_g":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"recovered_mass_g":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","specimen":"group-a","input_mass_g":10,"recovered_mass_g":1},{"date":"2026-10-02","row_id":"row-2","specimen":"group-b","input_mass_g":20,"recovered_mass_g":2},{"date":"2026-10-03","row_id":"row-3","specimen":"group-a","input_mass_g":15,"recovered_mass_g":3},{"date":"2026-10-04","row_id":"row-4","specimen":"group-b","input_mass_g":30,"recovered_mass_g":4}],"maxItems":200,"minItems":1},"field":{"enum":["input_mass_g","recovered_mass_g"],"type":"string","default":"input_mass_g"},"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_lYFWvNnEMlub1Gm6idEsL","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 rolling/trailing mean time series for research sample recovery metrics (input mass or recovered mass) over a user-defined window across up to 200 typed records.","exampleAgentPrompt":"Can you calculate a trailing mean series with a window of 3 for the recovered_mass_g field across my sample recovery records: row-1 on 2026-10-01 specimen group-a with input 10g recovered 1g, row-2 on 2026-10-02 specimen group-b input 20g recovered 2g, row-3 on 2026-10-03 group-a input 15g recovered 3g?","exampleUseCases":[{"title":"Smoothing recovery noise across specimens","prompt":"I have 50 daily sample recovery measurements across two specimen groups and want to remove day-to-day noise — can you run a trailing mean with a window of 5 on the recovered_mass_g field and give me the smoothed series?"},{"title":"Trending input mass over experiment run","prompt":"Across my 30 lab rows from October 2026, can you compute a rolling average of input_mass_g with a window of 7 so I can see if the input mass trend is increasing or stabilizing over the experiment?"},{"title":"Comparing rolling recovery across groups","prompt":"I've got two specimen groups (group-a and group-b) with mass data across 20 dates — can you compute a 4-day trailing mean on recovered_mass_g so I can see how each group's recovery smooths out over time?"}],"resultDescription":"Returns a bounded trailing mean series report: for each row in the input dataset (sorted by date), the endpoint computes the rolling average of the selected field (input_mass_g or recovered_mass_g) over the specified window size. Output is a local descriptive analytics report — no enrichment, forecasting, or external data — covering up to 200 records in a single call.","failureModes":["Fewer than 1 row submitted returns a validation error","Window size larger than number of submitted rows may produce partial or null early values","Invalid date format (not YYYY-MM-DD) causes schema rejection","Field value not in enum ['input_mass_g','recovered_mass_g'] returns a validation error","Mass values outside ±1,000,000,000,000 bounds rejected","More than 200 rows submitted exceeds maxItems limit and is rejected","Payment of 0.01 USDC not supplied or invalid causes 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you have time-series sample recovery data (input mass and/or recovered mass per specimen per date) and need a simple, local trailing mean computation without any external enrichment or forecasting. It is ideal for smoothing noisy lab measurements, identifying trends in recovery rates, and generating bounded descriptive rolling statistics within a single API call. Prefer this over general-purpose analytics tools when you want a lightweight, cost-effective ($0.01) computation scoped specifically to research sample recovery domain vocabulary.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T18:46:18.865Z","isFirstParty":false,"canonicalSlug":"research-sample-recovery-trailing-mean-series-134a1e23"}