# Company Headcount Observations — Record Quality Audit, Exact Row Deduplication & Trailing Mean Series

> Company Headcount Observations — Record Quality Audit, Exact Row Deduplication & Trailing Mean Series 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, deduplicates exact rows, and computes trailing mean series for up to 200 company headcount observation records across headcount and open_roles fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-12-216?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-351bf0fb
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_p30OJR0tvWmLIS9iNDMVG

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-351bf0fb -d '<json body>'
```

Example prompt: Can you audit the data quality, remove exact duplicate rows, and compute a trailing mean with a window of 3 for the headcount field across these 50 company headcount observations grouped by company group and date?

## When to prefer this

Choose this endpoint when you need three bundled analytical operations — quality audit, deduplication, and trailing mean series — on company headcount data (up to 200 rows) in a single low-cost call. It is ideal for pre-processing HR or workforce datasets before reporting or downstream analysis, especially when you want to validate data integrity and compute rolling averages without building custom pipelines. It does not perform live lookups, predictions, or external data enrichment.

## Known failure modes

- Rows array exceeds 200 items — request rejected
- Missing required fields (row_id, company_group, date, headcount, or open_roles) cause validation errors
- Invalid date format (not YYYY-MM-DD) results in pattern mismatch error
- Window size outside 2–200 range causes schema validation failure
- Empty rows array (minItems: 1 not met) returns error
- Numeric values outside allowed range cause validation failure

## How this service works

Company headcount observations — Record quality audit + Exact row deduplication + Trailing mean series: Record quality audit + Exact row deduplication + Trailing mean series 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 highlighting issues such as nulls, invalid values, and malformed dates across the headcount and open_roles fields; (2) an exact row deduplication report identifying and removing fully identical rows; and (3) a trailing mean time series computed over the specified field (headcount or open_roles) using the given window size, grouped by company_group and ordered by date.

## 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-headcount-observations-record-quality-audit-exact-row-351bf0fb/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)