# Research Task Completion — Duplicate Key Report + Missing Value Fill

> Research Task Completion — Duplicate Key Report + 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).

Analyzes up to 200 research task completion records to identify duplicate keys and fill missing values using zero, mean, or median imputation, returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-22-070?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-duplicate-key-report-missing-value-fill-bca1985f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_zAYfYCNcVWtkDwHkqjc8u

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-duplicate-key-report-missing-value-fill-bca1985f -d '<json body>'
```

Example prompt: Check my research task completion records for duplicate row IDs and fill any missing completed_tasks values using median imputation — here are up to 200 rows with row_id, company_group, date, completed_tasks, and assigned_tasks fields.

## When to prefer this

Choose this endpoint when you need both a duplicate key audit and missing-value imputation on research task completion data (completed_tasks, assigned_tasks) in a single low-cost call. It is purpose-built for task completion records with company_group and date dimensions, supports up to 200 rows, and delivers two reports for $0.01 USDC. Prefer it over generic data-cleaning tools when your data fits the exact schema (row_id, company_group, date, completed_tasks, assigned_tasks) and you want offline analysis without any external lookups or predictions.

## Known failure modes

- Fewer than 1 row supplied — validation error
- More than 200 rows supplied — rejected with maxItems error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- row_id missing or empty — required field error
- Unknown imputation method or field name — enum validation error
- Payment not provided or insufficient — x402 payment required response

## How this service works

Research task completion — Duplicate key report + Explicit missing-value fill: Duplicate key report + 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

Two independent reports: (1) a duplicate key report identifying any row_id values that appear more than once in the supplied dataset, and (2) a missing-value fill report showing original null values for the specified field (completed_tasks or assigned_tasks) replaced using the chosen method (zero, mean, or median). No external data is fetched; all analysis runs on the supplied rows only.

## 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-duplicate-key-report-missing-value-fill-bca1985f/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)