# Company Headcount Observations — Duplicate Key Report + Grouped Numeric Summary

> Company Headcount Observations — Duplicate Key Report + Grouped Numeric Summary 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 to produce a duplicate key report and a grouped numeric summary for headcount or open_roles fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-12-056?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-duplicate-key-report-grouped-numeric-182c3559
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ddXHKR2KDCadMmLm93Gf4

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-duplicate-key-report-grouped-numeric-182c3559 -d '<json body>'
```

Example prompt: Check my company headcount records for duplicate row IDs and give me a grouped numeric summary of the headcount field — here are my rows: row-1 for group-a on 2026-10-01 with headcount 10 and 1 open role, row-2 for group-b on 2026-10-02 with headcount 20 and 2 open roles, row-3 for group-a on 2026-10-03 with headcount 15 and 3 open roles.

## When to prefer this

Choose this endpoint when you need both duplicate detection and grouped aggregation on company headcount or open_roles data in a single low-cost call. It is ideal for pre-reporting data quality checks, HR analytics pipelines, or any workflow where you need to validate record uniqueness and understand numeric distributions by company group simultaneously. Use it over general-purpose data tools when working within the 200-row limit and wanting a bundled, cost-effective analytical pass.

## Known failure modes

- Input array is empty or missing — returns validation error
- row_id or company_group exceeds 80-character limit — rejected by schema
- date field does not match YYYY-MM-DD pattern — schema validation failure
- More than 200 rows submitted — request rejected due to maxItems constraint
- Numeric values outside ±1,000,000,000,000 range — schema rejection
- Invalid field enum value (not 'headcount' or 'open_roles') — schema error

## How this service works

Company headcount observations — Duplicate key report + Grouped numeric summary: Duplicate key report + Grouped numeric summary 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 independent analytical reports: (1) a duplicate key report identifying any row_ids that appear more than once in the input, and (2) a grouped numeric summary (e.g. count, mean, min, max) of the selected numeric field (headcount or open_roles) broken down by company_group. Results are computed locally with no external 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-duplicate-key-report-grouped-numeric-182c3559/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)