# Company Headcount Observations — Record Quality Audit + Exact Row Deduplication + Base-100 Series

> Company Headcount Observations — Record Quality Audit + Exact Row Deduplication + Base-100 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).

Runs three local analytical reports on company headcount data: a record quality audit, exact row deduplication, and a base-100 indexed series — all on user-supplied data, up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-12-218?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-98a2209f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_24tNo5OEodobMZnxXex7r

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-98a2209f -d '<json body>'
```

Example prompt: Can you audit the quality of these headcount records, remove any exact duplicate rows, and build a base-100 indexed series for the headcount field starting from index 0? Here are the rows: [{"row_id":"r1","company_group":"eng","date":"2024-01-01","headcount":500,"open_roles":20},{"row_id":"r2","company_group":"eng","date":"2024-02-01","headcount":510,"open_roles":18}].

## When to prefer this

Choose this endpoint when you have up to 200 rows of company headcount or open_roles time series data and need three bundled analytical reports — record quality audit, exact deduplication, and base-100 indexing — in a single low-cost call. Ideal for pre-analysis data hygiene workflows where you want to clean and normalize workforce data before downstream reporting. Not suitable if you need live headcount lookups, external data enrichment, or predictive modeling.

## Known failure modes

- Fewer than 1 or more than 200 rows submitted — rejected with validation error
- base_index out of range (0–199) or exceeds number of rows — error returned
- Rows missing required fields (row_id, company_group, date, headcount, open_roles) — schema validation failure
- date field not matching YYYY-MM-DD format — pattern validation error
- Invalid field enum value (must be 'headcount' or 'open_roles') — rejected
- Payment not included or insufficient (requires 0.01 USDC via x402) — payment error

## How this service works

Company headcount observations — Record quality audit + Exact row deduplication + Base-100 series: Record quality audit + Exact row deduplication + Base-100 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 reports: (1) a record quality audit identifying missing, null, or malformed values in the headcount and open_roles fields; (2) an exact row deduplication report listing identical rows; and (3) a base-100 indexed series for the selected field (headcount or open_roles) anchored at the specified base_index row — all computed locally on the supplied data.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-headcount-observations-record-quality-audit-exact-row-98a2209f/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)