# Company Headcount Observations — Exact Row Deduplication + Adjacent Row Changes

> Company Headcount Observations — Exact Row Deduplication + 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).

Deduplicates exact rows and detects adjacent row changes in company headcount observation data (headcount, open_roles) for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-12-046?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-adjacent-row-7b2435d4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_J_gPw3YWnLaP6UXfHz7G4

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-adjacent-row-7b2435d4 -d '<json body>'
```

Example prompt: I have a set of company headcount observations with dates, company groups, headcount numbers, and open roles — can you run exact row deduplication and detect adjacent row changes across these records, focusing on the headcount field? I'll send up to 200 rows.

## When to prefer this

Use this endpoint when you need to clean company headcount timeseries data by removing exact duplicate rows AND simultaneously identify where headcount or open_roles values changed between consecutive observations, all in a single $0.01 call covering up to 200 rows. Prefer this over generic deduplication tools when your data is specifically structured as company-grouped, date-stamped headcount observations.

## Known failure modes

- rows array exceeds 200 items — request rejected
- missing required fields (row_id, company_group, date, headcount, open_roles) — validation error
- invalid date format not matching YYYY-MM-DD — schema rejection
- empty rows array — minimum item constraint violated
- field enum value other than 'headcount' or 'open_roles' — validation error
- payment failure via x402 protocol — endpoint not served

## How this service works

Company headcount observations — Exact row deduplication + Adjacent row changes: Exact row deduplication + 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

Two analytical reports: (1) a deduplicated version of the input rows with exact duplicates identified/removed, and (2) a report of adjacent row changes showing where the selected field (headcount or open_roles) changed between consecutive rows within each company group, all processed locally without 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-headcount-observations-exact-row-deduplication-adjacent-row-7b2435d4/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)