# Research Task Completion — Record Quality Audit + String Normalisation + Duplicate Key Report

> Research Task Completion — Record Quality Audit + String Normalisation + Duplicate Key Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).

Runs three local analytical reports (record quality audit, string normalisation, and duplicate key detection) on up to 200 research task completion records containing completed_tasks and assigned_tasks fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-22-192?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-21
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/research-task-completion-record-quality-audit-string-normalisation-13bfb532
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_eCZ4uGlZz65l8xJljEqdS

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-record-quality-audit-string-normalisation-13bfb532 -d '<json body>'
```

Example prompt: Can you audit these research task completion records for quality issues, normalise the strings, and flag any duplicate row keys? I have up to 50 rows with fields like row_id, company_group, date, completed_tasks, and assigned_tasks.

## When to prefer this

Choose this endpoint when you need all three of record quality auditing, string normalisation, and duplicate key detection bundled into a single low-cost call for research task completion data specifically. It is ideal when you have up to 200 rows with completed_tasks and assigned_tasks fields and want local-only analysis without any live lookups, external data enrichment, or predictions.

## Known failure modes

- Submitting more than 200 rows returns an error or truncation
- Missing required fields (row_id, company_group, date, completed_tasks, assigned_tasks) causes validation failure
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- Numeric values outside the allowed range (-1,000,000,000,000 to 1,000,000,000,000) may cause errors
- Empty row arrays are rejected (minItems: 1)

## How this service works

Research task completion — Record quality audit + String normalisation + Duplicate key report: Record quality audit + String normalisation + Duplicate key report for supplied research task completion records (completed_tasks, assigned_tasks). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Three independent analytical reports: (1) a record quality audit flagging missing, null, or out-of-range values in the supplied rows; (2) a string normalisation report showing standardised versions of text fields like company_group; (3) a duplicate key report identifying rows sharing the same key values. All analysis is performed locally on the supplied data with no 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/research-task-completion-record-quality-audit-string-normalisation-13bfb532/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)