# Research Task Completion — String Normalisation + Base-100 Series

> Research Task Completion — String Normalisation + Base-100 Series 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).

Generates two analytical reports (string normalisation and Base-100 index series) for up to 200 rows of research task completion data (completed_tasks, assigned_tasks).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-22-030?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-base-100-series-1333099a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_7mZr_h9fRej6iCaDp2h0r

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-base-100-series-1333099a -d '<json body>'
```

Example prompt: Can you run string normalisation and a Base-100 index series on my research task completion data — here are 50 rows with company_group, date, completed_tasks, and assigned_tasks — start the Base-100 index at row 0 and use completed_tasks as the target field?

## When to prefer this

Choose this endpoint when you need both string normalisation and Base-100 indexing on research task completion records (completed_tasks or assigned_tasks) in a single low-cost call. Ideal when you have up to 200 rows of structured task data grouped by company and date and want two complementary analytical views without external data dependencies or live lookups.

## Known failure modes

- Input exceeds 200 rows — request will be rejected
- Missing required fields (row_id, date, company_group, completed_tasks, assigned_tasks) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- base_index out of range (must be 0–199) causes error
- Null values in the target field may affect index series computation
- Payment of 0.01 USDC not included or fails — endpoint returns 402

## How this service works

Research task completion — String normalisation + Base-100 series: String normalisation + Base-100 series 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 analytical reports: (1) string-normalised values for the selected field across supplied rows, and (2) a Base-100 index series anchored to the specified base_index row — both computed locally from the supplied data without any external lookups.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/research-task-completion-string-normalisation-base-100-series-1333099a/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)