# Company Headcount Observations — Trailing Mean Series + IQR Outlier Flags

> Company Headcount Observations — Trailing Mean Series + IQR Outlier Flags 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 a trailing moving-average series and IQR-based outlier flags for company headcount or open-roles time-series data (up to 200 rows, 2 reports per call).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-12-149?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-trailing-mean-series-iqr-outlier-flags-faf15167
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_wFlcC5jYd-0gfMjGy8owT

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-trailing-mean-series-iqr-outlier-flags-faf15167 -d '<json body>'
```

Example prompt: Analyze this set of headcount observations for our company groups — compute a trailing mean series with a window of 4 and flag any IQR outliers in the headcount field: [row-1, group-a, 2024-01-01, headcount=120, open_roles=5], [row-2, group-a, 2024-02-01, headcount=125, open_roles=8], [row-3, group-a, 2024-03-01, headcount=300, open_roles=3], [row-4, group-a, 2024-04-01, headcount=130, open_roles=6].

## When to prefer this

Choose this endpoint when you have up to 200 rows of company headcount or open-roles time-series observations and need both a smoothed trailing mean series and IQR-based outlier detection in a single cheap call ($0.01 USDC). Ideal for HR analytics pipelines, data quality checks before reporting, or detecting anomalous workforce events — particularly when you need two statistical views simultaneously without building your own analytics stack.

## Known failure modes

- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds limit
- Invalid date format (must be YYYY-MM-DD) — validation error
- Missing required fields (row_id, company_group, date, headcount, open_roles) — schema error
- Window size less than 2 or greater than 200 — rejected
- Payment of 0.01 USDC not completed — 402 response

## How this service works

Company headcount observations — Trailing mean series + IQR outlier flags: Trailing mean series + IQR outlier flags 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 for up to 200 supplied rows: (1) a trailing mean series for the selected field (headcount or open_roles) computed over the specified rolling window, and (2) IQR-based outlier flags identifying which observations fall outside the interquartile range boundaries — all computed locally from supplied 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-headcount-observations-trailing-mean-series-iqr-outlier-flags-faf15167/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)