# Company Headcount Observations — Exact Row Deduplication + Two-Measure Correlation

> Company Headcount Observations — Exact Row Deduplication + Two-Measure Correlation 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).

Deduplicates company headcount observation rows and computes a correlation analysis between headcount and open_roles for up to 200 supplied records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-12-050?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-exact-row-deduplication-two-measure-033f8213
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_dxdrQ4Jfzi0CzjO_d3qQC

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-exact-row-deduplication-two-measure-033f8213 -d '<json body>'
```

Example prompt: Can you deduplicate these company headcount records and also run a correlation between headcount and open_roles? I have about 150 rows across multiple company groups with dates in 2025.

## When to prefer this

Choose this endpoint when you have up to 200 company headcount observation records and need both exact duplicate row removal and a paired correlation analysis between headcount and open_roles in a single low-cost call. Ideal for data quality checks before reporting or pipeline handoffs where you need to confirm data integrity and measure the relationship between workforce size and open positions without any external data enrichment or live lookups.

## Known failure modes

- Input exceeds 200 rows — request rejected or truncated
- Missing required fields (row_id, company_group, date, headcount, open_roles) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes parse failure
- All rows are duplicates leaving insufficient data for correlation
- Null values in headcount or open_roles may reduce correlation sample size
- Fewer than 2 distinct rows after deduplication may make correlation undefined

## How this service works

Company headcount observations — Exact row deduplication + Two-measure correlation: Exact row deduplication + Two-measure correlation 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) an exact row deduplication report identifying and removing duplicate records from the supplied headcount observations, and (2) a two-measure correlation report quantifying the statistical relationship between headcount and open_roles across the provided rows — all computed locally on the supplied data 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-headcount-observations-exact-row-deduplication-two-measure-033f8213/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)