# Recovery Objectives Row Ordering and Adjacent Row Changes Analyzer

> 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.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-security-20-116?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/recovery-objectives-row-ordering-and-adjacent-row-changes-analyzer-21991759
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_GNx_7uK0LTooVSkqybY0L

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability recovery-objectives-row-ordering-and-adjacent-row-changes-analyzer-21991759 -d '<json body>'
```

Example prompt: I have 4 recovery objective records — row-1 group-a 2026-10-01 target 10 observed 1, row-2 group-b 2026-10-02 target 20 observed 2, row-3 group-a 2026-10-03 target 15 observed 3, row-4 group-b 2026-10-04 target 30 observed 4 — can you run the numeric row ordering and adjacent row changes reports on the target_minutes field for me?

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "control_group",
     "date",
     "target_minutes",
     "observed_minutes"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "control_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "target_minutes": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "observed_minutes": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "control_group": "group-a",
     "target_minutes": 10,
     "observed_minutes": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "control_group": "group-b",
     "target_minutes": 20,
     "observed_minutes": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "control_group": "group-a",
     "target_minutes": 15,
     "observed_minutes": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "control_group": "group-b",
     "target_minutes": 30,
     "observed_minutes": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "target_minutes",
    "observed_minutes"
   ],
   "type": "string",
   "default": "target_minutes"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/recovery-objectives-row-ordering-and-adjacent-row-changes-analyzer-21991759/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)