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Recovery Objectives Row Ordering and Adjacent Row Changes Analyzer
x402
Recovery Objectives Row Ordering and Adjacent Row Changes Analyzer is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).
Computes numeric row ordering and adjacent row changes for recovery objective records (target_minutes, observed_minutes) across up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Recovery objectives — Numeric row ordering + Adjacent row changes: Numeric row ordering + Adjacent row changes 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
Two local analytical reports: (1) a numeric row ordering report ranking the supplied rows by the selected field (target_minutes or observed_minutes), and (2) an adjacent row changes report showing the delta between each consecutive row pair for the selected field, all computed from the supplied data without any external lookup or prediction.
Example use cases
Incident recovery SLA drift detection
“I have 50 daily incident recovery records with target and observed minutes — can you run the numeric row ordering and adjacent row changes analysis on the observed_minutes field so I can see where recovery times are drifting the most between consecutive days?”
Comparing control groups over time
“I've got 100 recovery objective rows split across group-a and group-b with dates from 2026-01-01 to 2026-04-10 — run the row ordering and adjacent changes reports on target_minutes so I can compare how targets shift across groups.”
Post-incident remediation review
“After last quarter's outages I have 200 recovery entries with target and observed minutes — can you analyze the numeric ordering and adjacent row changes for observed_minutes to help me identify which consecutive periods had the sharpest recovery time jumps?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-security-20-116?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need fast, self-contained row ordering and adjacent change analysis on recovery objective time data (target vs observed minutes) without any external data sources. Ideal for post-incident reviews, SLA monitoring, and operations analytics where you supply your own dataset of up to 200 rows and want two complementary reports (ranking + consecutive deltas) in a single low-cost call.
Side effects
- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, date, target_minutes, observed_minutes) — validation error
- Invalid date format not matching YYYY-MM-DD pattern — schema validation failure
- Empty rows array — minItems constraint violation
- Null values in both target_minutes and observed_minutes may limit delta computation
- Payment not fulfilled via x402 protocol — request not processed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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