# Company Headcount Observations — Record Quality Audit + Daily Sum Series

> Company Headcount Observations — Record Quality Audit + Daily Sum 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 record quality and computes daily sum series for company headcount or open_roles observations across up to 200 rows, producing two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-12-009?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-daily-sum-series-a7afd0dc
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_22dZSNklsZzGwRdvBYuZ-

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-daily-sum-series-a7afd0dc -d '<json body>'
```

Example prompt: Can you run a record quality audit and daily sum series on these company headcount observations — I have rows with date, headcount, and open_roles for two groups over the past week, and I want to audit headcount quality and see the daily totals?

## When to prefer this

Choose this endpoint when you need both a data quality audit and a daily aggregated time series for company headcount or open_roles data in a single low-cost call. It is well suited for pre-reporting data validation, pipeline output checks, and quick workforce analytics on batches of up to 200 observation rows. Prefer it over generic analytics tools when your data is already structured with company_group, date, headcount, and open_roles fields.

## Known failure modes

- Empty rows array or more than 200 rows returns a validation error
- Invalid date format (not YYYY-MM-DD) causes row rejection or error
- Missing required fields (row_id, company_group, date, headcount, open_roles) causes schema validation failure
- Invalid field enum value (not 'headcount' or 'open_roles') returns an error
- Null or out-of-range numeric values may be flagged in the quality audit rather than causing failure

## How this service works

Company headcount observations — Record quality audit + Daily sum series: Record quality audit + Daily sum series 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 reports: (1) a record quality audit identifying data issues such as missing values, out-of-range numbers, or malformed records for each row; and (2) a daily sum series aggregating the selected field (headcount or open_roles) by date across all company groups.

## 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-headcount-observations-record-quality-audit-daily-sum-series-a7afd0dc/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)