# Company Record Completeness — String Normalisation + Base-100 Series

> Company Record Completeness — String Normalisation + Base-100 Series 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).

Performs string normalisation and base-100 indexed analytics on up to 200 company record completeness rows (populated_fields, required_fields), producing two independent reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-01-030?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-base-100-series-324c6c58
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_RqmhvKtPG-ToHPHYGbthJ

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-base-100-series-324c6c58 -d '<json body>'
```

Example prompt: Can you run a completeness analysis on our company records? I have up to 50 rows with populated_fields and required_fields counts across two groups — 'enterprise' and 'smb' — dated from 2025-01-01 to 2025-01-50. Give me both the string-normalised and base-100 indexed reports, with base_index set to 0.

## When to prefer this

Choose this endpoint when you need lightweight, local (no external lookup) string normalisation and base-100 indexing specifically for company record completeness metrics (populated vs required fields). It is ideal for data quality audits, CRM completeness benchmarking, and pre-migration checks on batches of up to 200 rows. Prefer it over general-purpose analytics tools when you want a fixed-cost ($0.01 USDC), two-report bundle without any AI prediction or live data enrichment.

## Known failure modes

- More than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, company_group, date, populated_fields, required_fields) — row rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- base_index out of range 0–199 — validation error
- populated_fields or required_fields outside allowed numeric bounds — validation error
- Empty rows array — request rejected

## How this service works

Company record completeness — String normalisation + Base-100 series: String normalisation + Base-100 series 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-normalised view of the supplied completeness data and (2) a base-100 indexed time series for the chosen field (populated_fields or required_fields), covering up to 200 input rows segmented by company_group and date. No external data is fetched; all computation is local.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-record-completeness-string-normalisation-base-100-series-324c6c58/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)