# Company Headcount Observations — Grouped Summary & Row Ordering

> Company Headcount Observations — Grouped Summary & Row Ordering 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 supplied company headcount data: a grouped numeric summary (by company group) and a numeric row ordering, for up to 200 rows covering headcount and open_roles fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-12-087?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-row-ordering-81e809cf
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_cXSVk8qowQIkgLk3U7ei7

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-row-ordering-81e809cf -d '<json body>'
```

Example prompt: I have a set of company headcount observations — rows with a company group, date, headcount, and open roles count — can you run a grouped numeric summary and row ordering on the headcount field for up to 200 of those rows?

## When to prefer this

Choose this endpoint when you already have company headcount or open roles data in hand and need quick grouped aggregate statistics and ranked ordering without any external data lookup, prediction, or enrichment. It is ideal for batch analytical summaries on up to 200 rows of workforce data at very low cost ($0.01 USDC for both reports). Prefer alternatives if you need live workforce data, forecasting, or analysis of fields beyond headcount and open_roles.

## Known failure modes

- Rows array is empty or missing — returns validation error
- More than 200 rows supplied — request rejected or truncated
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Null values in headcount or open_roles may affect summary statistics
- Unknown field value (not 'headcount' or 'open_roles') — enum validation error
- Missing required row fields (row_id, company_group, date) — validation error
- Payment not included or insufficient — 402 payment required response

## How this service works

Company headcount observations — Grouped numeric summary + Numeric row ordering: Grouped numeric summary + Numeric row ordering 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 for the supplied rows: (1) a grouped numeric summary showing aggregate statistics (e.g. min, max, mean, count) for the chosen numeric field (headcount or open_roles) broken down by company_group, and (2) a numeric row ordering that ranks all supplied rows by the chosen field value. No external data is fetched; all computation is performed on the user-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
  },
  "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-row-ordering-81e809cf/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)