# Company Headcount Observations — Record Quality Audit & Keyed Dataset Comparison

> Company Headcount Observations — Record Quality Audit & Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).

Runs two analytical reports on submitted company headcount data: a record quality audit and a keyed comparison between two datasets (primary vs. reference), covering up to 200 rows per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-12-018?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/company-headcount-observations-record-quality-audit-keyed-dataset-cdeb8c7f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_XD8K_g5gUP1cbcQgRq4Wt

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-record-quality-audit-keyed-dataset-cdeb8c7f -d '<json body>'
```

Example prompt: Can you audit the quality of my company headcount records and compare them against a reference dataset? I have two sets of rows — each with row_id, company_group, date, headcount, and open_roles — up to 200 rows each, and I want both a record quality report and a side-by-side comparison showing where the numbers differ.

## When to prefer this

Choose this endpoint when you need both a data quality audit and a dataset comparison in a single call for company headcount observations specifically (headcount + open_roles fields). It is ideal for pre-load validation pipelines, reconciliation between two data sources, or version-diffing headcount snapshots. It does not perform live lookups, external enrichment, or predictions — use it purely for offline analytical checks on data you already have. The $0.01 flat rate covers both reports for up to 200 rows, making it cost-effective for batch validation tasks.

## Known failure modes

- More than 200 rows supplied — request rejected at schema validation
- Missing required fields (row_id, company_group, date, headcount, or open_roles) — row fails validation
- Date field does not match YYYY-MM-DD pattern — schema rejection
- row_id exceeds 80 characters — schema rejection
- Empty rows array — schema rejection (minItems: 1)
- Non-numeric values in headcount or open_roles fields — schema type error

## How this service works

Company headcount observations — Record quality audit + Keyed dataset comparison: Record quality audit + Keyed dataset comparison 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 independent analytical reports: (1) a record quality audit covering field completeness, format validity, null checks, and value range issues across up to 200 input rows; and (2) a keyed dataset comparison that matches rows by row_id between the primary and reference datasets, reporting field-level deltas for headcount and open_roles per company_group and date.

## 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}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "headcount": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "open_roles": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "company_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "headcount": 10,
     "open_roles": 1,
     "company_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "headcount": 20,
     "open_roles": 2,
     "company_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "headcount": 15,
     "open_roles": 3,
     "company_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "headcount": 30,
     "open_roles": 4,
     "company_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "other": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "company_group",
     "date",
     "headcount",
     "open_roles"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "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"
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-headcount-observations-record-quality-audit-keyed-dataset-cdeb8c7f/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)