# Service Uptime Daily Sum Series + IQR Outlier Flags

> Service Uptime Daily Sum Series + 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 daily sum time series and IQR-based outlier flags for service uptime records (available_minutes, observed_minutes) across up to 200 rows, delivering two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-software-16-140?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-daily-sum-series-iqr-outlier-flags-ded1098b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_PJFSzwGOOt5lnAkvDa3eC

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-daily-sum-series-iqr-outlier-flags-ded1098b -d '<json body>'
```

Example prompt: Take my service uptime records — with columns row_id, component, date, available_minutes, and observed_minutes — for up to 200 rows and give me a daily sum time series plus IQR outlier flags on the available_minutes field.

## When to prefer this

Choose this endpoint when you have tabular service uptime data (available_minutes and observed_minutes per component per day) and need both a daily aggregated time series and statistical outlier detection in a single low-cost call. It is ideal for SLA monitoring, infrastructure health checks, and anomaly detection workflows where you supply your own data and need fast, local analytical results without any live data fetching or external API dependencies. Best for datasets up to 200 rows.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, component, date, available_minutes, observed_minutes) on any row — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- Insufficient data variance for meaningful IQR calculation — may return trivial or empty outlier flags
- Null values in numeric fields may affect aggregation accuracy

## How this service works

Service uptime — Daily sum series + IQR outlier flags: Daily sum series + 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 daily sum time series aggregating the selected field (available_minutes or observed_minutes) across components by date, and (2) IQR-based outlier flags identifying which rows or dates fall outside the interquartile range. All computation is performed 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-daily-sum-series-iqr-outlier-flags-ded1098b/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)