# Company Record Completeness — String Normalisation & Missing-Value Fill

> Company Record Completeness — String Normalisation & Missing-Value Fill 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).

Normalises string fields and fills explicit missing values in company record completeness data (populated_fields, required_fields) for up to 200 rows, producing 2 analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-01-037?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-missing-value-fill-6b522749
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_c3CiM6B9VOC0TwwDPtcqT

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-missing-value-fill-6b522749 -d '<json body>'
```

Example prompt: I have 150 rows of company record completeness data with some missing populated_fields values — can you run string normalisation and fill those missing values using median imputation, grouping by company_group and date, and give me the two analytical reports?

## When to prefer this

Choose this endpoint when you need lightweight, local string normalisation and missing-value imputation specifically for company record completeness metrics (populated_fields / required_fields) in batches up to 200 rows and want two bundled analytical reports for a flat $0.01 USDC fee. Prefer it over general-purpose ETL tools when you need a quick, cost-effective offline data-cleaning pass without live lookups or external enrichment.

## Known failure modes

- Fewer than 1 or more than 200 rows submitted — rejected by schema validation
- Invalid date format (not YYYY-MM-DD) — validation error
- populated_fields or required_fields values outside allowed numeric range — validation error
- Unknown fill method or field enum value — schema rejection
- Empty or missing row_id — rejected by minLength constraint

## How this service works

Company record completeness — String normalisation + Explicit missing-value fill: String normalisation + Explicit missing-value fill 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 on the supplied company record completeness data, with string fields normalised and explicit missing values in the chosen field (populated_fields or required_fields) filled using the selected method (zero, mean, or median). No live lookups or external data are used — analysis is performed locally on the submitted rows.

## 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-record-completeness-string-normalisation-missing-value-fill-6b522749/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)