# Company Headcount Observations — Quality Audit, Deduplication & Daily Sum Series

> Company Headcount Observations — Quality Audit, Deduplication & 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).

Runs three analytical reports on company headcount data: a record quality audit, exact row deduplication, and a daily sum time series — all on up to 200 supplied rows without any external lookups.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-12-215?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-quality-audit-deduplication-daily-sum-89726cf2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Elik-4zA0PtKH0hI5IIi7

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-quality-audit-deduplication-daily-sum-89726cf2 -d '<json body>'
```

Example prompt: Can you audit the quality of my company headcount records, remove exact duplicates, and give me a daily sum series for the headcount field? Here are my rows: company_group 'Acme-Corp', dates from 2024-01-01 to 2024-01-10, with headcount and open_roles values for each day.

## When to prefer this

Choose this endpoint when you have a batch of up to 200 company headcount or open-roles observation rows and need three combined analytical outputs — quality audit, deduplication, and daily aggregation — in a single low-cost call ($0.01 USDC). It is ideal for pre-processing HR or workforce data before downstream analysis, when no live lookup or external enrichment is needed and all computation is self-contained on your supplied data.

## Known failure modes

- Input exceeds 200 rows — request rejected with row limit error
- Missing required fields (row_id, company_group, date, headcount, open_roles) on any row — validation error returned
- Malformed date strings not matching YYYY-MM-DD pattern — schema validation failure
- Empty rows array — minItems constraint violation
- Invalid field enum value (not 'headcount' or 'open_roles') — schema rejection

## How this service works

Company headcount observations — Record quality audit + Exact row deduplication + Daily sum series: Record quality audit + Exact row deduplication + Daily sum 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 reports: (1) a record quality audit flagging issues like nulls, out-of-range values, and malformed dates across the headcount and open_roles fields; (2) an exact row deduplication report identifying and removing duplicate entries by all key fields; and (3) a daily sum time series aggregating the selected field (headcount or open_roles) across all company groups by date — all computed locally on the supplied rows.

## 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-quality-audit-deduplication-daily-sum-89726cf2/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)