# Company Headcount Observations — Record Quality Audit + String Normalisation + Category Frequencies

> Company Headcount Observations — Record Quality Audit + String Normalisation + Category Frequencies 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 three analytical reports (record quality audit, string normalisation, and category frequency analysis) on supplied company headcount observation records containing headcount and open_roles data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-12-195?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-headcount-observations-record-quality-audit-string-94e9ae2e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_zKoqJhLpj6RTmZgoa0AIL

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-headcount-observations-record-quality-audit-string-94e9ae2e -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and category frequency analysis on these company headcount observations I'm uploading — up to 200 rows with headcount and open_roles fields for groups like 'group-a' and 'group-b'?

## When to prefer this

Choose this endpoint when you have up to 200 company headcount observation records and need three simultaneous analytical passes — quality auditing, string normalisation, and category frequency counting — in a single low-cost call. Ideal for pre-pipeline data cleaning, HR data validation, or workforce dataset inspection without requiring any external lookups or live data.

## Known failure modes

- Input rows array is empty or missing — validation error
- More than 200 rows supplied — request rejected or truncated
- date field does not match YYYY-MM-DD format — schema validation failure
- row_id is blank or exceeds 80 characters — rejected
- headcount or open_roles values outside allowed numeric range — error
- Malformed JSON body — 400 bad request

## How this service works

Company headcount observations — Record quality audit + String normalisation + Category frequencies: Record quality audit + String normalisation + Category frequencies for supplied company headcount observations records (headcount, open_roles). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Three independent analytical reports: (1) a record quality audit flagging missing values, out-of-range numbers, and malformed dates; (2) a string normalisation report showing standardised versions of company_group strings; and (3) a category frequency table showing how often each company_group value appears across the supplied rows.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "company_group",
     "date",
     "headcount",
     "open_roles"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "headcount": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "open_roles": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "company_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "headcount": 10,
     "open_roles": 1,
     "company_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "headcount": 20,
     "open_roles": 2,
     "company_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "headcount": 15,
     "open_roles": 3,
     "company_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "headcount": 30,
     "open_roles": 4,
     "company_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-headcount-observations-record-quality-audit-string-94e9ae2e/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)