# Recovery Objectives String Normalisation and Numeric Row Ordering

> Recovery Objectives String Normalisation and Numeric Row Ordering 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).

Normalises string fields and sorts rows numerically for recovery objectives records containing target and observed minutes data, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-security-20-025?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-31
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/recovery-objectives-string-normalisation-and-numeric-row-ordering-8c3878f6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_1t4KwnQR5g0HyClynXn9W

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-string-normalisation-and-numeric-row-ordering-8c3878f6 -d '<json body>'
```

Example prompt: I have 4 recovery objectives 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 normalise the string fields and sort them by target_minutes, giving me two analytical reports?

## When to prefer this

Choose this endpoint when you need lightweight, local string normalisation combined with numeric row ordering specifically for recovery objectives data (target_minutes and observed_minutes fields), and want two bundled analytical reports at low cost. Prefer this over general-purpose data tools when your dataset is under 200 rows and no live lookups, predictions, or external integrations are needed.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, control_group, date, target_minutes, observed_minutes) cause validation errors
- Date strings not matching YYYY-MM-DD pattern cause schema validation failure
- Null numeric values may affect ordering output depending on implementation
- Network or payment processing errors returning 402 or 5xx responses

## How this service works

Recovery objectives — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering 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 independent analytical reports: one covering string normalisation of fields such as row_id and control_group, and one covering numeric row ordering based on the selected field (target_minutes or observed_minutes). Reports are generated locally without external lookups or predictions, covering up to 200 input rows.

## 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-string-normalisation-and-numeric-row-ordering-8c3878f6/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)