# Company Headcount Observations — Grouped Summary & Date-Category Pivot

> Company Headcount Observations — Grouped Summary & Date-Category Pivot 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).

Generates two analytical reports (grouped numeric summary and date-by-category pivot) from supplied company headcount and open roles data for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-12-097?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-date-category-pivot-c774a5d5
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_F1ivjLgoCE9gvt7ikyh_U

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-date-category-pivot-c774a5d5 -d '<json body>'
```

Example prompt: Can you run both a grouped numeric summary and a date-by-category pivot on these headcount and open roles records for group-a and group-b — I have 4 rows of data with dates ranging from 2026-10-01 to 2026-10-04, and I want to analyze the headcount field?

## When to prefer this

Choose this endpoint when you have pre-collected company headcount or open roles observation records (up to 200 rows) and need both a grouped aggregate summary and a date-by-category pivot in a single call. It is ideal for offline/batch analytical workflows where no live data lookup, prediction, or external action is needed. It is cost-effective at $0.01 USDC for two simultaneous reports derived from your supplied data.

## Known failure modes

- Rows array is empty or missing — minimum 1 row required
- More than 200 rows submitted — only up to 200 rows are supported
- Invalid date format in any row (must match YYYY-MM-DD pattern)
- Missing required row fields (row_id, company_group, date, headcount, open_roles)
- Invalid field value — must be either 'headcount' or 'open_roles'
- row_id exceeds 80 character limit or is empty
- Null numeric values may affect summary statistics output

## How this service works

Company headcount observations — Grouped numeric summary + Date by category pivot: Grouped numeric summary + Date by category pivot 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 of the selected field (headcount or open_roles) broken down by company_group, including aggregate statistics; and (2) a date-by-category pivot table showing the selected field values across dates and company groups. Both reports are derived solely from the supplied input rows with no external data 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-date-category-pivot-c774a5d5/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)