# Company Headcount Observations — Numeric Distribution + Base-100 Series

> Company Headcount Observations — Numeric Distribution + Base-100 Series 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 (numeric distribution and Base-100 indexed series) on up to 200 rows of company headcount or open-roles data

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-12-078?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-base-100-series-0fd3f69f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ILmOhyPnR0B5H9s13K8rg

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-base-100-series-0fd3f69f -d '<json body>'
```

Example prompt: I have a CSV of our company headcount observations — 4 rows, one for group-a on 2026-10-01 with headcount 10 and 1 open role, group-b on 2026-10-02 with headcount 20 and 2 open roles, group-a on 2026-10-03 with headcount 15 and 3 open roles, and group-b on 2026-10-04 with headcount 30 and 4 open roles. Can you run a numeric distribution report and a Base-100 series on the headcount field, using row 0 as the base index?

## When to prefer this

Choose this endpoint when you have pre-collected company headcount or open-roles row data and need two fast, offline analytical reports — a numeric distribution and a Base-100 trend index — without needing live data, predictions, or external lookups. It is ideal for HR analysts and workforce planners who want quick statistical summaries and indexed trend visibility on batch data at very low cost ($0.01 for both reports). Prefer sibling endpoints for other analytical combinations (e.g., category frequencies, keyed dataset comparison, string normalisation).

## Known failure modes

- Missing required row fields (row_id, company_group, date, headcount, open_roles) cause validation errors
- More than 200 rows submitted — only up to 200 rows are supported
- base_index out of range (>=number of rows) causes index error
- All values null for the selected field yields empty or degenerate distribution
- Malformed date strings (not YYYY-MM-DD format) cause parse errors
- Payment of 0.01 USDC not included or declined — request rejected

## How this service works

Company headcount observations — Numeric distribution + Base-100 series: Numeric distribution + Base-100 series 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

Two analytical reports on the supplied rows: (1) a numeric distribution report showing spread, percentiles, and summary statistics for the selected field (headcount or open_roles) across all company groups; (2) a Base-100 indexed series showing each row's value relative to the designated base index row, enabling trend comparison. Results cover up to 200 input rows and are computed locally without 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-headcount-observations-numeric-distribution-base-100-series-0fd3f69f/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)