# Recovery Objectives Numeric Interval Filter and Missing-Value Fill

> Recovery Objectives Numeric Interval Filter and Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).

Filters recovery objective records (target_minutes, observed_minutes) to a numeric interval and fills missing values using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-security-20-135?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-22
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/recovery-objectives-numeric-interval-filter-and-missing-value-fill-be6ccbcc
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_SUKhnJc89ofplA14--oun

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-numeric-interval-filter-and-missing-value-fill-be6ccbcc -d '<json body>'
```

Example prompt: I have 150 rows of recovery objective records with target_minutes and observed_minutes — some values are null. Can you filter to only rows where target_minutes is between 0 and 100, fill any missing target_minutes values using median imputation, and give me two analytical reports?

## When to prefer this

Choose this endpoint when you have up to 200 recovery objective records (with target_minutes and observed_minutes fields) that need both numeric range filtering and null imputation in a single low-cost call ($0.01 USDC), and you want two analytical reports returned without any live data lookups, predictions, or external side effects. It is especially suitable for batch preprocessing of recovery metric data before further analysis.

## Known failure modes

- Empty rows array or more than 200 rows submitted — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Minimum greater than maximum — may produce empty filtered result set
- Field enum value not recognized — schema rejection
- Null row_id or missing required fields — per-row validation error
- Network or payment authorization failure — 402 or 5xx response

## How this service works

Recovery objectives — Numeric interval filter + Explicit missing-value fill: Numeric interval filter + Explicit missing-value fill 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 based on the filtered and imputed dataset: rows are restricted to the specified [minimum, maximum] interval on the chosen field, missing values in that field are filled using the chosen method (zero, mean, or median), and results are computed locally without external lookups or predictions.

## 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/recovery-objectives-numeric-interval-filter-and-missing-value-fill-be6ccbcc/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)