# Company Headcount Observations — Exact Row Deduplication + Base-100 Series

> Company Headcount Observations — Exact Row Deduplication + Base-100 Series 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).

Deduplicates exact rows and generates a Base-100 index series from supplied company headcount and open_roles observation data (up to 200 rows).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-12-047?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-exact-row-deduplication-base-100-series-acda88d5
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_3Set9lGsI30iI1gOYb4lL

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-exact-row-deduplication-base-100-series-acda88d5 -d '<json body>'
```

Example prompt: I have a dataset of company headcount observations across two groups — here are 150 rows with date, headcount, and open_roles fields — please deduplicate exact duplicate rows and generate a Base-100 index series using the first row as the base, focusing on headcount.

## When to prefer this

Use this endpoint when you have up to 200 rows of company headcount or open_roles time-series data that you need to clean (deduplicate) and normalize into a Base-100 index for trend comparison. It is ideal for local, offline-style analytical processing without any external lookups, predictions, or side effects. Prefer this over general-purpose analytics tools when you want both deduplication and Base-100 indexing delivered together in a single low-cost call against your own supplied dataset.

## Known failure modes

- Input rows array is empty or exceeds 200 items — validation error returned
- base_index references a row position that does not exist in the deduplicated dataset
- date field does not match required YYYY-MM-DD format — schema validation failure
- headcount or open_roles values are null for all rows, making Base-100 series undefined
- company_group or row_id fields exceed 80-character limit — rejected by schema
- field enum value is not 'headcount' or 'open_roles' — schema validation failure

## How this service works

Company headcount observations — Exact row deduplication + Base-100 series: Exact row deduplication + Base-100 series 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 reports: (1) a deduplicated version of the input rows with exact duplicate records removed, and (2) a Base-100 index series for the specified field (headcount or open_roles) per company group, where each value is scaled relative to the chosen base index row. Both reports are computed locally using analytical engines with no external data 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-headcount-observations-exact-row-deduplication-base-100-series-acda88d5/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)