# Company Headcount Observations — Numeric Row Ordering + Numeric Interval Filter

> Company Headcount Observations — Numeric Row Ordering + Numeric Interval Filter 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).

Sorts company headcount observation rows numerically and filters them to a specified numeric range for headcount or open_roles fields, returning up to 2 analytical reports on up to 200 supplied rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-12-113?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-numeric-row-ordering-numeric-interval-879c005f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_XJg6kuYxaae7q1Ulr9tjb

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-numeric-row-ordering-numeric-interval-879c005f -d '<json body>'
```

Example prompt: I have a list of company headcount snapshots — can you sort them numerically by headcount and filter to only show rows where headcount is between 50 and 500? Here are up to 200 rows with row_id, company_group, date, headcount, and open_roles fields.

## When to prefer this

Choose this endpoint when you have pre-collected company headcount or open_roles data (up to 200 rows) that you want to sort numerically and/or filter to a specific value range. It is ideal for offline batch analysis of workforce snapshots without needing live data lookups or external integrations. Prefer this over general-purpose analytics when you specifically need both row ordering and interval filtering on headcount or open_roles fields in a single low-cost call.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format in rows (must match YYYY-MM-DD pattern)
- Missing required row fields (row_id, company_group, date, headcount, open_roles)
- Minimum value greater than maximum value producing an empty filtered result
- Field enum value not one of 'headcount' or 'open_roles' causing validation error
- Null numeric values causing ordering ambiguity in sorted output

## How this service works

Company headcount observations — Numeric row ordering + Numeric interval filter: Numeric row ordering + Numeric interval filter 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

The endpoint returns up to 2 analytical reports on the supplied rows: one showing rows sorted by the selected numeric field (headcount or open_roles) and one filtered to only rows where that field falls within the specified minimum–maximum interval. Processes up to 200 input rows using local analytical engines 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-headcount-observations-numeric-row-ordering-numeric-interval-879c005f/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)