# Company Headcount Observations — Record Quality Audit + Exact Row Deduplication

> Company Headcount Observations — Record Quality Audit + Exact Row Deduplication 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).

Audits data quality and deduplicates exact duplicate rows in up to 200 company headcount observation records (headcount, open_roles fields) using local analytical engines, returning two independent reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-12-002?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-record-quality-audit-exact-row-815ffe3d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_TKgFNj4o44qmy-6VNV9bt

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-record-quality-audit-exact-row-815ffe3d -d '<json body>'
```

Example prompt: Can you audit these company headcount records for data quality issues and find any exact duplicate rows? I have up to 50 observations with fields like company_group, date, headcount, and open_roles that I want checked before I run my analysis.

## When to prefer this

Choose this endpoint when you need both a data quality audit and exact deduplication in a single call on up to 200 company headcount observation rows (headcount + open_roles fields). It is ideal for pre-processing workforce datasets before analysis or reporting, when you do not need live data lookups, ML predictions, or external enrichment — just fast, local analytical checks on supplied row data.

## Known failure modes

- Exceeding 200 rows returns an error — batch must be split
- Missing required fields (row_id, company_group, date, headcount, open_roles) will cause validation rejection
- Malformed date strings not matching YYYY-MM-DD pattern may be rejected
- Empty rows array (minItems: 1 not met) returns an error
- Payment of 0.01 USDC must be included via x402 protocol or request is rejected

## How this service works

Company headcount observations — Record quality audit + Exact row deduplication: Record quality audit + Exact row deduplication 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 independent analytical reports: (1) a record quality audit identifying issues such as missing values, out-of-range numbers, or malformed fields across the headcount and open_roles columns; and (2) an exact row deduplication report listing which rows are exact duplicates of others. Both reports are generated locally from 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-record-quality-audit-exact-row-815ffe3d/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)