# Company Headcount Observations — Numeric Distribution + Numeric Interval Filter

> Company Headcount Observations — Numeric Distribution + 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).

Computes a numeric distribution report and a numeric interval filter report for company headcount and open roles data, analyzing up to 200 rows in two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-12-074?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-numeric-distribution-numeric-interval-7921672f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_thQiEcNP7Hv99rTw3XqhJ

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-numeric-distribution-numeric-interval-7921672f -d '<json body>'
```

Example prompt: Analyze my company headcount observations — I have up to 200 rows with fields company_group, date, headcount, and open_roles. Run the numeric distribution and interval filter reports on the headcount field, filtering for values between 10 and 500.

## When to prefer this

Choose this endpoint when you have pre-collected company headcount or open roles observations (up to 200 rows) and need both a numeric distribution summary and a range-filtered subset in a single API call. It is ideal for offline or batch HR analytics workflows where no live data lookup or external data enrichment is needed — only local statistical computation on your supplied data. Prefer this over general-purpose analytics tools when you want a cost-efficient ($0.01 USDC for two reports) structured analysis specifically tailored to workforce headcount metrics.

## Known failure modes

- Rows exceeding 200 items will be rejected or truncated
- Missing required fields (row_id, company_group, date, headcount, open_roles) will cause validation errors
- Null values in the selected numeric field may affect distribution accuracy
- Invalid date format (not YYYY-MM-DD) will fail schema validation
- Minimum value greater than maximum value produces an empty interval filter result
- Non-numeric values in headcount or open_roles fields will fail schema constraints

## How this service works

Company headcount observations — Numeric distribution + Numeric interval filter: Numeric distribution + 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 numeric distribution showing the spread and frequency breakdown of the selected field (headcount or open_roles) across all supplied rows, and (2) an interval-filtered result set containing only the rows where the selected field falls within the specified minimum and maximum bounds. Both reports operate on the same supplied dataset of up to 200 rows using local analytical engines.

## 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-numeric-distribution-numeric-interval-7921672f/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)