# Company Filing Inventories — Category Frequencies + Two-Measure Correlation

> Company Filing Inventories — Category Frequencies + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).

Analyzes company filing inventory data to produce category frequency distributions and a two-measure correlation report for available vs. expected filings.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-17-108?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/company-filing-inventories-category-frequencies-two-measure-correlation-2ddccecb
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_uBPKDZCK8Y5UKciXGt74q

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-filing-inventories-category-frequencies-two-measure-correlation-2ddccecb -d '<json body>'
```

Example prompt: I have up to 200 rows of company filing inventory records with fields for row_id, company_group, date, available_filings, and expected_filings — can you run a category frequency breakdown by company group and a correlation analysis between available_filings and expected_filings on this dataset?

## When to prefer this

Choose this endpoint when you have up to 200 rows of company filing inventory records and need both a categorical frequency breakdown by company group and a statistical correlation between available_filings and expected_filings in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical passes on pre-collected filing data rather than real-time lookups. Prefer alternatives if you need predictions, live data enrichment, or more than two measures analyzed simultaneously.

## Known failure modes

- Fewer than 1 row submitted — request rejected
- More than 200 rows submitted — exceeds limit, request rejected
- Missing required fields (row_id, company_group, date, available_filings, expected_filings) — validation error
- Malformed date format (not YYYY-MM-DD) — schema validation failure
- Numeric values outside allowed range — rejected by schema
- All available_filings or expected_filings are null — correlation cannot be computed
- Payment not included or insufficient — x402 payment required error

## How this service works

Company filing inventories — Category frequencies + Two-measure correlation: Category frequencies + Two-measure correlation for supplied company filing inventories records (available_filings, expected_filings). 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) a category frequency table showing how often each company_group value appears in the submitted rows, and (2) a two-measure correlation report quantifying the statistical relationship between available_filings and expected_filings across all submitted records. No external data is fetched; analysis runs entirely on the supplied rows (up to 200).

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-filing-inventories-category-frequencies-two-measure-correlation-2ddccecb/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)