# Company Headcount Observations — Daily Sum Series + Explicit Missing-Value Fill

> Company Headcount Observations — Daily Sum Series + Explicit Missing-Value Fill 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).

Computes daily sum aggregations and fills missing values (zero, mean, or median) in company headcount and open-roles observation data across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-12-145?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-daily-sum-series-explicit-missing-297485e4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_1xFoO2XTYXvus3q4tWafO

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-daily-sum-series-explicit-missing-297485e4 -d '<json body>'
```

Example prompt: I have headcount and open_roles records for group-a and group-b across October 2026 — can you compute the daily sum series for headcount and fill any missing values using the median method? Here are up to 200 rows with row IDs, dates, and company groups.

## When to prefer this

Choose this endpoint when you have structured company headcount or open-roles time series data (up to 200 rows) that needs daily sum aggregation combined with missing-value imputation in a single call. It is ideal for HR analytics, workforce reporting, or data preparation pipelines where both aggregation and gap-filling are needed together without external data lookups or live HR system integrations.

## Known failure modes

- Input rows exceed 200-item limit — request rejected
- Date fields not matching YYYY-MM-DD pattern — validation error
- Missing required fields (row_id, company_group, date) — schema validation failure
- Numeric values outside allowed range (±1 trillion) — rejection
- All values null for a group/date combination — fill output may be empty or zero-based

## How this service works

Company headcount observations — Daily sum series + Explicit missing-value fill: Daily sum series + Explicit missing-value fill 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 analytical reports: (1) a daily sum series aggregating the specified field (headcount or open_roles) by date and company group, and (2) an explicit missing-value fill replacing nulls with the chosen strategy (zero, mean, or median). Results cover up to 200 input 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-headcount-observations-daily-sum-series-explicit-missing-297485e4/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)