# Research Task Completion — Category Frequencies + Explicit Missing-Value Fill

> Research Task Completion — Category Frequencies + Explicit 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 2026-10-17).

Computes category frequency distributions and fills missing values in research task completion data (completed_tasks, assigned_tasks) for up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-22-112?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-17
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/research-task-completion-category-frequencies-explicit-missing-value-b09c3423
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap__BDAtbELNqoT12jD1zRcE

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-category-frequencies-explicit-missing-value-b09c3423 -d '<json body>'
```

Example prompt: I have up to 200 rows of research task completion data with company_group, date, completed_tasks, and assigned_tasks fields — some values are missing. Can you run a category frequency report on completed_tasks and fill the missing values using median imputation?

## When to prefer this

Choose this endpoint when you have up to 200 rows of research task completion records and need both a category frequency breakdown and explicit missing-value imputation in a single low-cost call. It is ideal for lightweight, offline analytical tasks on supplied data without requiring any live data lookup, prediction, or external service integration. Prefer this over general-purpose analytics tools when cost predictability ($0.01 per call for two reports) and simplicity matter.

## Known failure modes

- Fewer than 1 row or more than 200 rows submitted — rejected by schema validation
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Numeric values outside ±1,000,000,000,000 boundary rejected
- Missing required fields (row_id, company_group, date) cause validation errors
- Invalid enum value for field or method parameter returns error
- Payment of 0.01 USDC not provided or rejected — request blocked

## How this service works

Research task completion — Category frequencies + Explicit missing-value fill: Category frequencies + Explicit missing-value fill 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 analytical reports: (1) a category frequency table showing how often each company_group value appears in the submitted rows, and (2) the dataset with missing values in the selected field (completed_tasks or assigned_tasks) explicitly filled using the chosen method (zero, mean, or median). No external data sources are used — analysis is performed entirely 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/research-task-completion-category-frequencies-explicit-missing-value-b09c3423/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)