# Validator Uptime — Numeric Row Ordering + IQR Outlier Flags

> Validator Uptime — Numeric Row Ordering + IQR Outlier Flags 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).

Ranks validator uptime records by online_minutes or observed_minutes and flags statistical outliers using the interquartile range (IQR) method, producing two analytical reports for up to 200 supplied rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-12-119?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-numeric-row-ordering-iqr-outlier-flags-3ef04dfd
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_pgUmgh8EUPmkLk_tZi3IN

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-numeric-row-ordering-iqr-outlier-flags-3ef04dfd -d '<json body>'
```

Example prompt: I have 50 validator uptime records with online_minutes and observed_minutes — can you sort them numerically by online_minutes and flag any IQR outliers across my validator groups?

## When to prefer this

Choose this endpoint when you need statistical ranking and IQR-based outlier detection specifically for validator uptime records (online_minutes and observed_minutes) without making any live network calls or external lookups. It is cost-effective at $0.01 for two reports on up to 200 rows and is ideal for post-hoc analysis of collected validator performance data, audit workflows, or batch quality checks on historical uptime logs.

## Known failure modes

- Fewer than 1 row submitted — returns validation error
- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields (row_id, date, online_minutes, observed_minutes, instrument_group) — schema validation failure
- Invalid date format not matching YYYY-MM-DD pattern — rejected
- Null values in both numeric fields may reduce IQR calculation accuracy
- Field enum value not in [online_minutes, observed_minutes] — rejected

## How this service works

Validator uptime — Numeric row ordering + IQR outlier flags: Numeric row ordering + IQR outlier flags 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) numeric ordering of submitted validator uptime rows ranked by the selected field (online_minutes or observed_minutes), and (2) IQR-based outlier flags identifying which rows fall below Q1−1.5×IQR or above Q3+1.5×IQR thresholds. Results are computed locally against supplied data only — no external lookups are performed.

## 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/validator-uptime-numeric-row-ordering-iqr-outlier-flags-3ef04dfd/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)