# Company Headcount Observations — Record Quality Audit, Exact Row Deduplication & Category Frequencies

> Company Headcount Observations — Record Quality Audit, Exact Row Deduplication & Category Frequencies 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, removes exact duplicate rows, and computes category frequencies for up to 200 company headcount observation records (headcount, open_roles fields).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-12-212?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-d36abefd
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_TcIiqUpwO1hAJ7TRfIovx

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-d36abefd -d '<json body>'
```

Example prompt: Can you run a data quality audit, deduplicate exact rows, and give me category frequencies for these company headcount records I have — there are about 150 rows with headcount and open_roles columns across several company groups?

## When to prefer this

Choose this endpoint when you need three simultaneous data-quality reports (quality audit + deduplication + category frequencies) on company headcount data in a single low-cost call. It is ideal for pre-pipeline validation, HR data hygiene checks, or exploratory dataset auditing where you do not need live lookups, predictions, or external enrichment — just fast, local analytical computation on your supplied rows.

## Known failure modes

- Payload exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, company_group, date, headcount, open_roles) cause validation errors
- Malformed date strings not matching YYYY-MM-DD pattern result in validation failure
- Empty rows array rejected (minimum 1 item required)
- Non-numeric headcount or open_roles values outside allowed range cause schema rejection

## How this service works

Company headcount observations — Record quality audit + Exact row deduplication + Category frequencies: Record quality audit + Exact row deduplication + Category frequencies for supplied company headcount observations records (headcount, open_roles). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Returns three independent analytical reports: (1) a record quality audit flagging missing, null, or malformed values in the headcount and open_roles fields; (2) an exact row deduplication report identifying and removing identical records; and (3) a category frequency summary showing observation counts per company_group. All reports are 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-record-quality-audit-exact-row-d36abefd/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)