# Research Task Completion — Grouped Numeric Summary + IQR Outlier Flags

> Research Task Completion — Grouped Numeric Summary + 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 2026-10-22).

Computes grouped descriptive statistics and IQR-based outlier flags for research task completion records (completed_tasks or assigned_tasks), covering up to 200 rows in 2 bundled reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-22-094?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/research-task-completion-grouped-numeric-summary-iqr-outlier-flags-38990488
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_kv0SLJvVtqOxYT4O-psvM

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 research-task-completion-grouped-numeric-summary-iqr-outlier-flags-38990488 -d '<json body>'
```

Example prompt: Can you run a grouped numeric summary and IQR outlier analysis on my research task completion data — I have records with company_group, date, completed_tasks, and assigned_tasks fields for about 150 rows, and I want to analyze the completed_tasks field?

## When to prefer this

Choose this endpoint when you have a tabular dataset of research task completion records (up to 200 rows) and need both a grouped descriptive summary and IQR outlier detection in a single low-cost call. It is ideal for offline/batch analytical use where no live data lookup or prediction is needed. The bundled 2-report format offers better value than calling separate summary and outlier endpoints individually.

## Known failure modes

- Fewer than 1 row supplied — validation error
- More than 200 rows submitted — exceeds limit, request rejected
- Missing required fields (row_id, company_group, date, completed_tasks, assigned_tasks) — schema validation error
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Null values in numeric fields may affect IQR calculation depending on implementation
- Invalid field enum value (not 'completed_tasks' or 'assigned_tasks') — rejected

## How this service works

Research task completion — Grouped numeric summary + IQR outlier flags: Grouped numeric summary + IQR outlier flags for supplied research task completion records (completed_tasks, assigned_tasks). 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 bundled analytical reports: (1) a grouped numeric summary (e.g. mean, median, min, max, std dev) of the selected field (completed_tasks or assigned_tasks) broken down by company_group, and (2) IQR-based outlier flags per row indicating which records fall outside the interquartile range. No external data is fetched; all analysis is performed on the supplied rows.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/research-task-completion-grouped-numeric-summary-iqr-outlier-flags-38990488/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)