# Company Headcount Observations — Exact Row Deduplication + Duplicate Key Report

> Company Headcount Observations — Exact Row Deduplication + Duplicate Key Report 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 reports duplicate keys across up to 200 supplied records without any external lookup.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-12-038?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-duplicate-key-2a14cf9e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_h-5bvM87gHUSpBloMHu6a

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-duplicate-key-2a14cf9e -d '<json body>'
```

Example prompt: I have a batch of up to 200 company headcount observation records with fields like row_id, company_group, date, headcount, and open_roles — can you run exact row deduplication and generate a duplicate key report across all of them?

## When to prefer this

Choose this endpoint when you need fast, local deduplication and duplicate key reporting specifically for company headcount and open_roles observation data (up to 200 rows) without any external API calls, predictions, or enrichment. It is ideal for data quality checks before ingesting workforce data into a warehouse or reporting pipeline. Not suitable for datasets exceeding 200 rows, fuzzy matching, or enrichment with external headcount sources.

## Known failure modes

- Exceeding 200 rows triggers a validation error — batch must be split
- Missing required fields (row_id, company_group, date, headcount, open_roles) causes rejection
- Malformed date strings not matching YYYY-MM-DD pattern cause input validation failure
- Empty rows array (minItems:1 violated) results in an error
- Numeric fields outside allowed range (-1e12 to 1e12) are rejected

## How this service works

Company headcount observations — Exact row deduplication + Duplicate key report: Exact row deduplication + Duplicate key report 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) an exact row deduplication result identifying fully identical rows across the supplied records, and (2) a duplicate key report flagging records that share the same combination of key fields (e.g. company_group, date). No external data is fetched; all analysis is performed locally on the supplied rows.

## 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-duplicate-key-2a14cf9e/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)