# Company Headcount Observations — Grouped Numeric Summary & Category Frequencies

> Company Headcount Observations — Grouped Numeric Summary & 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).

Analyzes up to 200 company headcount observation records, producing a grouped numeric summary and category frequency report for headcount or open_roles fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-12-086?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-numeric-summary-category-130eafea
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_6PmdF0eKRdoys937uWhkF

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-numeric-summary-category-130eafea -d '<json body>'
```

Example prompt: I have a dataset of company headcount observations with up to 200 rows — each with a row_id, company_group, date, headcount, and open_roles — can you give me a grouped numeric summary and category frequency breakdown for the headcount field across all company groups?

## When to prefer this

Choose this endpoint when you have a batch of up to 200 company headcount observation records already in hand and need quick grouped statistics and category frequency distributions without any live data lookup, external enrichment, or prediction. It is well-suited for offline batch analysis of workforce snapshots, HR dashboards, and portfolio benchmarking where the data is supplied by the caller. It covers two report types in a single $0.01 call, making it cost-efficient for paired numeric summary and frequency use cases.

## Known failure modes

- Fewer than 1 row provided — minimum row count not met
- More than 200 rows submitted — exceeds maximum batch size
- Missing required fields (row_id, company_group, date, headcount, or open_roles) on any row
- Date field does not match YYYY-MM-DD format — pattern validation failure
- Numeric field values outside allowed range (±1 trillion)
- Invalid field selector — must be 'headcount' or 'open_roles'
- Payment not included or insufficient — endpoint requires $0.01 USDC via x402 protocol

## How this service works

Company headcount observations — Grouped numeric summary + Category frequencies: Grouped numeric summary + Category frequencies 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 sharing local computation: (1) a grouped numeric summary (e.g. min, max, mean, median, count per company_group) and (2) category frequencies for the selected numeric field (headcount or open_roles) across up to 200 supplied rows. No external data is fetched; all analysis is performed on the provided records.

## 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-numeric-summary-category-130eafea/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)