# Research Task Completion — String Normalisation + Grouped Numeric Summary

> Research Task Completion — String Normalisation + Grouped Numeric Summary 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).

Normalises string fields and produces a grouped numeric summary for up to 200 research task completion records (completed_tasks, assigned_tasks) across company groups and dates.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-22-023?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-string-normalisation-grouped-numeric-summary-7494b8cf
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Yt0jPwSQYoxkcg79wAEPv

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-string-normalisation-grouped-numeric-summary-7494b8cf -d '<json body>'
```

Example prompt: I have up to 200 rows of research task completion records with fields like row_id, company_group, date, completed_tasks, and assigned_tasks — can you normalise the string fields and give me a grouped numeric summary for the completed_tasks field across all company groups?

## When to prefer this

Choose this endpoint when you need both string normalisation and grouped numeric summary analytics on task completion records in a single low-cost call, especially when working with up to 200 rows of company-group-keyed data with completed_tasks and assigned_tasks fields. It is ideal for offline or batch analytical workflows where no live data lookup, prediction, or external action is needed and the full dataset is supplied by the caller.

## Known failure modes

- Fewer than 1 or more than 200 rows submitted — request rejected
- Missing required fields (row_id, company_group, date, completed_tasks, assigned_tasks) on any row
- Invalid date format (must be YYYY-MM-DD)
- Numeric values outside allowed range (±1 trillion)
- Invalid field selector value (must be completed_tasks or assigned_tasks)
- Payment of 0.01 USDC not provided or declined via x402 protocol

## How this service works

Research task completion — String normalisation + Grouped numeric summary: String normalisation + Grouped numeric summary 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 for the submitted rows: (1) a string normalisation report cleaning and standardising text fields such as company_group, and (2) a grouped numeric summary aggregating the selected numeric field (completed_tasks or assigned_tasks) across company groups and dates, including statistics such as counts, totals, and means per group. No external data is fetched; all analysis is performed 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/research-task-completion-string-normalisation-grouped-numeric-summary-7494b8cf/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)