# Company Headcount Observations — Category Frequencies & Numeric Interval Filter

> Company Headcount Observations — Category Frequencies & Numeric Interval Filter 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 rows, producing category frequency distributions and a numeric interval filter report for headcount or open_roles fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-12-101?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-category-frequencies-numeric-interval-c5ac63a3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_gVUMEIR_6yzIBRV2fyyCQ

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-category-frequencies-numeric-interval-c5ac63a3 -d '<json body>'
```

Example prompt: I have 150 company headcount observation records with company_group, date, headcount, and open_roles columns — can you run a category frequency report on the company groups and also filter for records where headcount is between 50 and 500?

## When to prefer this

Choose this endpoint when you have a pre-collected dataset of company headcount observations (up to 200 rows) and need two specific analytical outputs simultaneously: category frequency counts by company group, and a numeric band filter on headcount or open_roles. It is ideal for lightweight, self-contained workforce data analysis without needing an external database, live API, or prediction engine. Prefer this over general analytics platforms when cost efficiency (0.01 USDC for 2 reports) and simplicity matter.

## Known failure modes

- Rows array is empty or missing — returns validation error
- More than 200 rows submitted — exceeds row limit, request rejected
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Field enum value other than 'headcount' or 'open_roles' — rejected
- Minimum value greater than maximum value — may return empty interval result
- Null numeric values in headcount/open_roles — may affect interval filter counts
- Payment of 0.01 USDC not completed — request blocked by x402 paywall

## How this service works

Company headcount observations — Category frequencies + Numeric interval filter: Category frequencies + Numeric interval filter 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 category frequency table showing how often each company_group value appears in the submitted rows, and (2) a numeric interval filter report listing which records fall within the specified minimum–maximum range for the chosen field (headcount or open_roles). No external lookups or predictions are made; all analysis is performed on the supplied data.

## 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-headcount-observations-category-frequencies-numeric-interval-c5ac63a3/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)