# Company Headcount Observations — Exact Row Deduplication + Daily Sum Series

> Company Headcount Observations — Exact Row 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).

Deduplicates exact duplicate rows and generates a daily sum time series for company headcount and open roles data (up to 200 rows, 2 reports per call).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-12-044?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-exact-row-deduplication-daily-sum-series-7501935e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_oVjo69ynY76mf9PCH1o79

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-exact-row-deduplication-daily-sum-series-7501935e -d '<json body>'
```

Example prompt: I have a dataset of company headcount observations with columns row_id, company_group, date, headcount, and open_roles — can you deduplicate the exact duplicate rows and give me a daily sum series for headcount across all these records?

## When to prefer this

Choose this endpoint when you need both exact duplicate row removal and a daily aggregated time series for company headcount or open roles data in a single API call. It is ideal for HR data cleaning pipelines, pre-reporting deduplication, and quick staffing trend summaries without requiring a full analytics stack. Best suited for datasets up to 200 rows where local, offline analytical processing is acceptable and no external data enrichment is needed.

## Known failure modes

- Missing required fields (row_id, company_group, date, headcount, open_roles) cause validation errors
- Date values not matching YYYY-MM-DD pattern are rejected
- Submitting more than 200 rows exceeds the maxItems limit
- Empty rows array (minItems: 1 not satisfied) returns an error
- Null values in headcount or open_roles may affect sum calculations
- Invalid field enum value (must be 'headcount' or 'open_roles') causes rejection
- Payment failure or insufficient USDC balance prevents processing

## How this service works

Company headcount observations — Exact row deduplication + Daily sum series: Exact row deduplication + 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 analytical reports: (1) an exact row deduplication report identifying and removing duplicate records from the supplied headcount observations, and (2) a daily sum time series aggregating either headcount or open_roles by date across company groups — both derived entirely from the submitted 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
  },
  "field": {
   "enum": [
    "headcount",
    "open_roles"
   ],
   "type": "string",
   "default": "headcount"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-headcount-observations-exact-row-deduplication-daily-sum-series-7501935e/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)