# Company Headcount Observations — Record Quality Audit, String Normalisation & Equal-Width Histogram

> Company Headcount Observations — Record Quality Audit, String Normalisation & Equal-Width Histogram 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 equal-width histogram) on company headcount observation data including headcount and open_roles fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-12-202?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-ca687372
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_SbjYa6ruUWujUcdkEC0mC

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-ca687372 -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and equal-width histogram (5 bins) on this headcount dataset for my company groups — the rows have headcount and open_roles fields, and I want to analyse the headcount column?

## When to prefer this

Choose this endpoint when you need to simultaneously audit data quality, normalise string fields, and analyse the numeric distribution of company headcount or open_roles data in a single API call. It is ideal for pre-processing or profiling HR/workforce datasets before downstream analytics, reporting, or data warehouse ingestion. Best when you have up to 200 rows and want three bundled analytical reports at low cost without any external data lookups or live integrations.

## Known failure modes

- More than 200 rows submitted — exceeds maximum row limit
- Missing required fields (row_id, company_group, date, headcount, open_roles) in any row
- Date field does not match YYYY-MM-DD pattern
- Bin count outside 1–30 range
- Invalid field enum value (must be 'headcount' or 'open_roles')
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)

## How this service works

Company headcount observations — Record quality audit + String normalisation + Equal-width histogram: Record quality audit + String normalisation + Equal-width histogram 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

Returns three independent analytical reports: (1) a record quality audit identifying missing values, out-of-range entries, and data issues across the supplied rows; (2) a string normalisation report cleaning and standardising the company_group field; and (3) an equal-width histogram report bucketing the selected numeric field (headcount or open_roles) into the specified number of bins. All reports are generated locally without external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "bins": {
   "type": "integer",
   "default": 5,
   "maximum": 30,
   "minimum": 1
  },
  "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
  },
  "field": {
   "enum": [
    "headcount",
    "open_roles"
   ],
   "type": "string",
   "default": "headcount"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-headcount-observations-record-quality-audit-string-ca687372/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)