# Validator Uptime String Normalisation and Missing-Value Fill

> Validator Uptime String Normalisation 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 2026-10-26).

Normalises string fields and fills missing values (online_minutes or observed_minutes) in up to 200 validator uptime records using zero, mean, or median imputation, returning 2 analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-12-037?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/validator-uptime-string-normalisation-and-missing-value-fill-850b3c4a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_2SXjS1QLbt5EKeLLaTCri

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 validator-uptime-string-normalisation-and-missing-value-fill-850b3c4a -d '<json body>'
```

Example prompt: I have 150 rows of validator uptime records with some missing online_minutes values — can you normalise the string fields and fill those missing values using median imputation, then give me the two analysis reports?

## When to prefer this

Choose this endpoint when you have a batch of up to 200 validator uptime rows that need both string normalisation and numeric missing-value imputation in a single call at low cost. It is ideal when you need two structured analytical reports on data quality and filling without any external data lookups, predictions, or live network queries. Prefer it over general-purpose data-cleaning pipelines when your domain is specifically validator/staking uptime with online_minutes and observed_minutes fields.

## Known failure modes

- Input array is empty or exceeds 200 rows — request rejected
- Missing required fields (row_id, date, online_minutes, observed_minutes, instrument_group) in any row
- Date field does not match YYYY-MM-DD pattern — validation error
- Invalid enum value for field or method parameters
- Payment of 0.01 USDC not completed — 402 response returned
- Numeric values outside allowed range (±1,000,000,000,000) rejected

## How this service works

Validator uptime — String normalisation + Explicit missing-value fill: String normalisation + Explicit missing-value fill for supplied validator uptime records (online_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 analytical reports covering: (1) string normalisation details for text fields such as instrument_group, and (2) explicit missing-value fill results for the selected numeric field (online_minutes or observed_minutes), showing what values were imputed and by which method (zero, mean, or median). Reports are based purely on the supplied rows with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "instrument_group",
     "date",
     "online_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
     },
     "online_minutes": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "instrument_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "observed_minutes": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "online_minutes": 10,
     "instrument_group": "group-a",
     "observed_minutes": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "online_minutes": 20,
     "instrument_group": "group-b",
     "observed_minutes": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "online_minutes": 15,
     "instrument_group": "group-a",
     "observed_minutes": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "online_minutes": 30,
     "instrument_group": "group-b",
     "observed_minutes": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "online_minutes",
    "observed_minutes"
   ],
   "type": "string",
   "default": "online_minutes"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/validator-uptime-string-normalisation-and-missing-value-fill-850b3c4a/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)