# Company Headcount Observations — Grouped Summary & Correlation Analysis

> Company Headcount Observations — Grouped Summary & Correlation Analysis 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 two local analytical reports on company headcount data: a grouped numeric summary by company group and a two-measure correlation between headcount and open roles, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-12-095?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-grouped-summary-correlation-analysis-8675e02b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_TUxLBBYp1dSpA3GemVsf5

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-grouped-summary-correlation-analysis-8675e02b -d '<json body>'
```

Example prompt: Can you analyze these company headcount records — I have up to 200 rows with company_group, date, headcount, and open_roles — and give me a grouped numeric summary by company group plus a correlation between headcount and open_roles?

## When to prefer this

Choose this endpoint when you have raw company headcount tabular data (up to 200 rows) and need both a grouped descriptive summary and a pairwise correlation between headcount and open_roles in a single API call. It is ideal for HR analytics, workforce planning, or portfolio monitoring workflows where you want fast, local computation without any external data lookup or prediction. Prefer it over general statistics APIs when your data is already in the expected schema (row_id, company_group, date, headcount, open_roles) and you need both report types bundled at low cost.

## Known failure modes

- Missing required fields (row_id, company_group, date, headcount, open_roles) cause validation errors
- More than 200 rows submitted — exceeds maxItems limit
- Date fields not matching YYYY-MM-DD pattern cause schema rejection
- Null values in both headcount and open_roles may degrade correlation calculation
- Empty rows array returns error due to minItems:1 constraint
- Payment failure (insufficient USDC) prevents endpoint execution

## How this service works

Company headcount observations — Grouped numeric summary + Two-measure correlation: Grouped numeric summary + Two-measure correlation 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 analytical reports: (1) a grouped numeric summary aggregating headcount and open_roles statistics broken down by company_group, and (2) a correlation coefficient between the headcount and open_roles measures across the supplied rows. All computation is performed locally on the submitted data 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-grouped-summary-correlation-analysis-8675e02b/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)