# Company Record Completeness — String Normalisation + Two-Measure Correlation

> Company Record Completeness — String Normalisation + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).

Normalises company record completeness data and computes two-measure correlation analysis across populated vs. required fields for up to 200 rows, returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-01-033?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/company-record-completeness-string-normalisation-two-measure-1f9e7ac5
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_3iYwTmyLEC2tpkk0BrgA4

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-two-measure-1f9e7ac5 -d '<json body>'
```

Example prompt: Can you run a string-normalisation and two-measure correlation analysis on our company record completeness data? I've got rows for groups 'alpha' and 'beta' with populated_fields and required_fields counts from 2024-01-01 through 2024-01-04 — I want both correlation reports back.

## When to prefer this

Choose this endpoint when you need lightweight, local string normalisation and two-measure correlation specifically for company record completeness data (populated vs. required fields) without any live lookups or external enrichment. It is ideal for batch data quality audits up to 200 rows at very low cost ($0.01 USDC for two reports). Prefer alternatives if you need prediction, live CRM lookups, more than two measures, or more than 200 rows.

## Known failure modes

- Exceeds 200-row limit — request rejected
- Missing required fields (row_id, company_group, date, populated_fields, required_fields) — validation error
- Malformed date format (must match YYYY-MM-DD pattern) — schema validation failure
- populated_fields or required_fields out of numeric range — rejected
- Empty rows array — minimum 1 item required

## How this service works

Company record completeness — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation 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: (1) string-normalised company record completeness data and (2) a two-measure correlation analysis comparing populated_fields against required_fields, computed locally without any external lookup or live data enrichment, for up to 200 input 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-record-completeness-string-normalisation-two-measure-1f9e7ac5/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)