# Service Uptime Grouped Numeric Summary with IQR Outlier Flags

> Service Uptime Grouped Numeric Summary with 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 2026-10-30).

Computes grouped numeric summaries and IQR-based outlier flags for service uptime records (available_minutes, observed_minutes) grouped by component

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-software-16-094?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/service-uptime-grouped-numeric-summary-with-iqr-outlier-flags-b02617de
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_V7yc1wu1WjvVmzjfQLUYI

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 service-uptime-grouped-numeric-summary-with-iqr-outlier-flags-b02617de -d '<json body>'
```

Example prompt: Can you analyze these uptime records for my services — I have up to 200 rows with row IDs, component names, dates, and available_minutes plus observed_minutes — and give me a grouped numeric summary by component along with IQR outlier flags for available_minutes?

## When to prefer this

Choose this endpoint when you have tabular service uptime data (up to 200 rows) and need both grouped descriptive statistics by component and IQR-based outlier detection in a single call without setting up any local analytics infrastructure. It is purpose-built for uptime (available_minutes, observed_minutes) data structures, making it faster to invoke than a general-purpose analytics API for this specific domain. Prefer it for lightweight, on-demand SRE analytics, SLA reviews, or post-incident uptime audits where you want statistical summaries and anomaly flags together.

## Known failure modes

- Fewer than 1 row supplied — validation error
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, component, date, available_minutes, observed_minutes) — schema validation error
- Invalid date format (not YYYY-MM-DD) — rejected by pattern validation
- Null numeric values may be excluded from IQR computation depending on implementation
- Payment not attached or insufficient USDC — x402 payment required error

## How this service works

Service uptime — Grouped numeric summary + IQR outlier flags: Grouped numeric summary + IQR outlier flags for supplied service uptime records (available_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

Returns two analytical reports: (1) a grouped numeric summary (e.g. mean, median, min, max, count) of the selected field (available_minutes or observed_minutes) broken down by component, and (2) IQR-based outlier flags identifying which individual rows fall outside the interquartile range fence. Both reports are computed locally on the supplied data with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/service-uptime-grouped-numeric-summary-with-iqr-outlier-flags-b02617de/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)