# Company Headcount Observations — Record Quality Audit + Grouped Numeric Summary

> Company Headcount Observations — Record Quality Audit + Grouped Numeric Summary 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).

Audits data quality and produces a grouped numeric summary for up to 200 company headcount observation records (headcount, open_roles fields).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-12-005?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-grouped-numeric-941fd63f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_z0vwvGIp4Zu8hRuQHxyCZ

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-grouped-numeric-941fd63f -d '<json body>'
```

Example prompt: Can you run a record quality audit and grouped numeric summary on these headcount observations I have — I've got rows with row_id, company_group, date, headcount, and open_roles for up to 200 records, and I want to analyze the headcount field?

## When to prefer this

Choose this endpoint when you have up to 200 company headcount observation records and need both a data quality audit and a grouped numeric summary in a single call for a flat $0.01 USDC fee. It is ideal for pre-load validation pipelines, ad hoc workforce data checks, or batch HR data auditing where no live lookup or prediction is needed — just local analytical computation on supplied data.

## Known failure modes

- Rows array is empty or missing — minimum 1 row required
- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (must match YYYY-MM-DD pattern)
- Missing required fields (row_id, company_group, date, headcount, open_roles) in any row
- Invalid field selector — must be either 'headcount' or 'open_roles'
- Null values in numeric fields may affect summary statistics

## How this service works

Company headcount observations — Record quality audit + Grouped numeric summary: Record quality audit + Grouped numeric summary for supplied company headcount observations records (headcount, open_roles). 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) a record quality audit identifying data issues, missing values, and anomalies in the supplied headcount/open_roles rows, and (2) a grouped numeric summary aggregating the selected field (headcount or open_roles) by company_group — all computed locally with no external lookups.

## 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
  },
  "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-grouped-numeric-941fd63f/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)