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Recovery Objectives Numeric Interval Filter + Trailing Mean Series
x402
Recovery Objectives Numeric Interval Filter + 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 2026-10-31).
Applies a numeric interval filter and computes a trailing mean series on recovery objective records (target_minutes and observed_minutes) for up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Recovery objectives — Numeric interval filter + Trailing mean series: Numeric interval filter + Trailing mean series for supplied recovery objectives records (target_minutes, observed_minutes). 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.
Output
Returns two analytical reports: (1) rows from the supplied dataset that fall within the specified numeric interval for the chosen field (target_minutes or observed_minutes), and (2) a trailing mean series computed over the chosen field using the specified window size — all derived locally from the submitted data with no external lookups.
Example use cases
SLA breach analysis for IT incidents
“I have our incident recovery logs for Q3 — each row has a date, control_group, target_minutes, and observed_minutes. Can you filter rows where observed_minutes is between 0 and 30 and compute a trailing mean series with a window of 7 over observed_minutes so I can see the smoothed recovery trend?”
Healthcare response time trend smoothing
“Here are 120 rows of patient response records with target_minutes and observed_minutes. Please filter to only those where target_minutes is between 10 and 90, then give me a trailing mean series using a window of 4 over target_minutes so I can spot improvement trends.”
Disaster recovery objective compliance review
“I want to analyze our disaster recovery data — I'll supply up to 80 rows with row_id, date, control_group, target_minutes, and observed_minutes. Filter where observed_minutes falls between 15 and 120, and compute a rolling mean with a window of 3 over observed_minutes to check if we're consistently meeting our recovery objectives.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-security-20-126?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have recovery objective records (target_minutes, observed_minutes) and need both a numeric interval filter and a trailing mean series in a single low-cost call. It is ideal for operations or SLA teams needing lightweight, self-contained analytics on supplied data without any external data fetching, prediction, or professional assessment. Prefer it over general-purpose analytics tools when you want deterministic, reproducible results at minimal cost ($0.01 USDC for up to 200 rows and two reports).
Side effects
- Fewer than 1 row submitted — returns validation error
- More than 200 rows submitted — rejected with maxItems error
- window value larger than number of submitted rows — trailing mean series may be empty or partial
- minimum greater than maximum — interval filter returns zero rows
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, date, target_minutes, observed_minutes) — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer | |
| maximum | number | |
| minimum | number |
Tags
x402
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