# Company Record Completeness – String Normalisation & Numeric Distribution

> Company Record Completeness – String Normalisation & Numeric Distribution is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).

Runs string normalisation and numeric distribution analysis on up to 200 company record completeness rows (populated_fields and required_fields), returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-01-022?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/company-record-completeness-string-normalisation-numeric-distribution-0d2bd9af
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_AzoE4zbx_J6UK2PLPnb5K

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-distribution-0d2bd9af -d '<json body>'
```

Example prompt: Can you run string normalisation and numeric distribution reports on my company completeness data? 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 — analyse the populated_fields column.

## When to prefer this

Choose this endpoint when you need offline, local analytical computation — specifically string normalisation and numeric distribution — on company record completeness data (populated_fields and required_fields) without any live data lookup, external enrichment, or ML prediction. Ideal for batch quality audits of up to 200 records at very low cost ($0.01 USDC for both reports).

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, company_group, date, populated_fields, required_fields) causes rejection
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Numeric values outside the allowed range cause rejection
- Empty rows array is not accepted (minItems: 1)

## How this service works

Company record completeness — String normalisation + Numeric distribution: String normalisation + Numeric distribution 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

Two independent analytical reports: (1) a string normalisation report covering the company_group and date string fields, and (2) a numeric distribution report covering the selected numeric field (populated_fields or required_fields), covering up to 200 input rows with descriptive statistics and normalised representations.

## 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-distribution-0d2bd9af/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)