# Company Headcount Observations — Trailing Mean Series + Adjacent Row Changes

> Company Headcount Observations — Trailing Mean Series + Adjacent Row Changes 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 adjacent row-to-row delta changes for supplied company headcount or open-roles time-series data, returning two analytical reports in one call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-12-146?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-adjacent-row-28db4c52
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_TA5YsEwJ2X9idPrf_BQv0

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-adjacent-row-28db4c52 -d '<json body>'
```

Example prompt: I have headcount and open roles data for two company groups across the last 6 months — can you run a trailing mean series and adjacent row changes analysis on the headcount field using a window of 3, for up to 200 rows?

## When to prefer this

Choose this endpoint when you already have company headcount or open-roles observations as structured rows and need both a smoothed trailing mean trend and period-over-period delta changes computed together in a single call, without requiring any external data lookup or prediction. Ideal for HR analytics pipelines, workforce planning dashboards, or acquisition impact analysis where local computation on supplied data is sufficient and cost efficiency matters (two reports for $0.01 USDC).

## Known failure modes

- Fewer than 2 rows supplied — minimum 1 row required but trailing mean needs at least window-size rows to produce meaningful output
- Window size exceeds number of rows — trailing mean series will have insufficient data for early rows
- Invalid date format — dates must match YYYY-MM-DD pattern
- Row count exceeds 200 — request will be rejected
- Missing required fields (row_id, company_group, date, headcount, open_roles) — validation error
- Payment of 0.01 USDC not attached or declined — 402 response

## How this service works

Company headcount observations — Trailing mean series + Adjacent row changes: Trailing mean series + Adjacent row changes 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) a trailing mean series showing the rolling average of the chosen field (headcount or open_roles) over the specified window size for each company group, and (2) an adjacent row changes series showing the value delta between consecutive observations — both computed locally on the supplied data, up to 200 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"
  },
  "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-adjacent-row-28db4c52/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)