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Research Sample Recovery – Trailing Mean Series
x402
Research Sample Recovery – Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
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.
Price / call$0.01
Success—
StatusUnknown
How this service works
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.
Output
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.
Example use cases
Smoothing recovery noise across specimens
“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?”
Trending input mass over experiment run
“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?”
Comparing rolling recovery across groups
“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?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-sample-recovery-rolling?utm_source=zero.xyzWhen to prefer
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.
Side effects
- 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
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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