# Company Record Completeness — String Normalisation + Numeric Row Ordering

> Company Record Completeness — String Normalisation + Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).

Normalises string fields and orders rows numerically for supplied company record completeness data (populated_fields, required_fields) across up to 200 rows, producing two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-01-025?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/company-record-completeness-string-normalisation-numeric-row-ordering-4542f249
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_lwXQwFkAc1S50kUHNwX_Z

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 company-record-completeness-string-normalisation-numeric-row-ordering-4542f249 -d '<json body>'
```

Example prompt: Can you normalise the string fields and sort the rows numerically by populated_fields for these company completeness records? I have 4 rows: row-1 for group-a on 2026-10-01 with populated_fields=10 and required_fields=1, row-2 for group-b on 2026-10-02 with populated_fields=20 and required_fields=2, row-3 for group-a on 2026-10-03 with populated_fields=15 and required_fields=3, and row-4 for group-b on 2026-10-04 with populated_fields=30 and required_fields=4.

## When to prefer this

Choose this endpoint when you need lightweight, local string normalisation and numeric ordering applied to company record completeness data (populated_fields and required_fields) without any live lookup, external data enrichment, or prediction. Ideal for batch processing up to 200 rows in a single low-cost call that produces two independent reports. Not suitable if you need live data fetching, ML-based predictions, or external CRM integration.

## Known failure modes

- Fewer than 1 or more than 200 rows supplied — request rejected
- Date field does not match YYYY-MM-DD pattern — validation error
- row_id missing or empty — schema validation failure
- populated_fields or required_fields outside allowed numeric range — error
- field enum value not 'populated_fields' or 'required_fields' — schema rejection

## How this service works

Company record completeness — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied company record completeness records (populated_fields, required_fields). 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 independent analytical reports: one applying string normalisation to company group and related string fields, and one applying numeric row ordering based on the selected field (populated_fields or required_fields), covering all supplied rows up to 200.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "company_group",
     "date",
     "populated_fields",
     "required_fields"
    ],
    "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
     },
     "required_fields": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "populated_fields": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "company_group": "group-a",
     "required_fields": 1,
     "populated_fields": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "company_group": "group-b",
     "required_fields": 2,
     "populated_fields": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "company_group": "group-a",
     "required_fields": 3,
     "populated_fields": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "company_group": "group-b",
     "required_fields": 4,
     "populated_fields": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "populated_fields",
    "required_fields"
   ],
   "type": "string",
   "default": "populated_fields"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-record-completeness-string-normalisation-numeric-row-ordering-4542f249/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)