# Company Headcount Observations — String Normalisation + Numeric Row Ordering

> Company Headcount Observations — String Normalisation + Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).

Normalises company group strings and orders rows numerically for up to 200 company headcount observation records across headcount and open_roles fields, returning 2 analytical reports per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-12-025?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/company-headcount-observations-string-normalisation-numeric-row-2505f0b8
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_a7yfNKbZzE1qs27FjKjkz

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-string-normalisation-numeric-row-2505f0b8 -d '<json body>'
```

Example prompt: Take these 4 company headcount observation rows — group-a on 2026-10-01 with 10 headcount and 1 open role, group-b on 2026-10-02 with 20 headcount and 2 open roles, group-a on 2026-10-03 with 15 headcount and 3 open roles, group-b on 2026-10-04 with 30 headcount and 4 open roles — and run string normalisation plus numeric row ordering on the headcount field, giving me both analytical reports.

## When to prefer this

Choose this endpoint when you have up to 200 company headcount observation records and need both string normalisation of company group labels and numeric ordering of headcount or open_roles values in a single low-cost call. It is purpose-built for workforce/HR observation data with the specific schema (row_id, company_group, date, headcount, open_roles) and delivers two independent reports simultaneously. Prefer this over general-purpose data transformation tools when you are working specifically with headcount or open_roles timeseries rows and want a lightweight, offline (no live lookup) analytical pass at $0.01 USDC.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, company_group, date, headcount, open_roles) on any row causes validation failure
- Date field not matching YYYY-MM-DD pattern causes rejection
- Payment of 0.01 USDC not provided — x402 payment required before processing
- Invalid field enum value (not 'headcount' or 'open_roles') causes error
- Empty rows array (minItems: 1 not met) causes rejection

## How this service works

Company headcount observations — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering 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 2 analytical reports: one applying string normalisation to the company_group field across all supplied rows, and one ordering rows numerically by the selected field (headcount or open_roles). Up to 200 rows processed per call. No external lookups or predictions are made — all processing uses local analytical engines.

## 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-string-normalisation-numeric-row-2505f0b8/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)