# Company Headcount Observations — Numeric Interval Filter + Keyed Dataset Comparison

> Company Headcount Observations — Numeric Interval Filter + 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 2026-10-19).

Applies a numeric interval filter and keyed dataset comparison to two supplied sets of company headcount observation records (up to 200 rows each).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-12-134?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-interval-filter-keyed-dataset-d7fea805
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_sp7mlsC799K8wDDG2IBQ7

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-interval-filter-keyed-dataset-d7fea805 -d '<json body>'
```

Example prompt: I have two sets of company headcount records — up to 200 rows each — with fields for headcount and open_roles by company group and date. Can you run a numeric interval filter on the headcount field and compare the two datasets using a keyed comparison to surface differences?

## When to prefer this

Choose this endpoint when you have two sets of company headcount or open roles observations (up to 200 rows each) and need both a numeric interval filter and a keyed cross-dataset comparison in a single paid call. It is purpose-built for workforce data with company_group and date dimensions, and bundles two analytical reports for $0.01 USDC — ideal for agents that need lightweight, deterministic analytics on supplied data without any external data fetching or prediction.

## Known failure modes

- Missing required fields (row_id, company_group, date, headcount, open_roles) causes validation error
- Exceeding 200 rows in either dataset results in rejection
- Invalid date format (non-YYYY-MM-DD) causes schema validation failure
- Numeric values outside the allowed range (-1e12 to 1e12) are rejected
- Supplying an invalid field enum value (not 'headcount' or 'open_roles') returns an error
- Empty rows array (minItems:1 not met) causes request failure

## How this service works

Company headcount observations — Numeric interval filter + Keyed dataset comparison: Numeric interval filter + 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 analytical reports: (1) rows from the primary dataset that fall within the specified numeric interval for the chosen field (headcount or open_roles), and (2) a keyed comparison between the primary and secondary datasets highlighting differences per row key. Both reports are computed locally from the supplied data 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}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "headcount": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "open_roles": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "company_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "headcount": 10,
     "open_roles": 1,
     "company_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "headcount": 20,
     "open_roles": 2,
     "company_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "headcount": 15,
     "open_roles": 3,
     "company_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "headcount": 30,
     "open_roles": 4,
     "company_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "headcount",
    "open_roles"
   ],
   "type": "string",
   "default": "headcount"
  },
  "other": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "company_group",
     "date",
     "headcount",
     "open_roles"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "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": 8
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-headcount-observations-numeric-interval-filter-keyed-dataset-d7fea805/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)