# Company Filing Inventories — Category Frequencies + Date by Category Pivot

> Company Filing Inventories — Category Frequencies + Date by Category Pivot 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).

Computes category frequencies and a date-by-category pivot table for company filing inventory data (available_filings, expected_filings) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-17-110?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-date-by-category-pivot-0e373b3f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_0Rp9FVepAapn-NuiZiE18

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-date-by-category-pivot-0e373b3f -d '<json body>'
```

Example prompt: I have a dataset of company filing records with dates and company groups — can you run category frequency counts and a date-by-category pivot on the available_filings field for these rows: row-1 (group-a, 2026-10-01, available=10, expected=1), row-2 (group-b, 2026-10-02, available=20, expected=2), row-3 (group-a, 2026-10-03, available=15, expected=3)?

## When to prefer this

Choose this endpoint when you have structured company filing inventory data (up to 200 rows) and need both a category frequency breakdown and a date-by-category pivot in a single call. It is ideal for offline/batch analytical tasks on pre-collected data — not for live lookups, predictions, or enrichment from external sources. Prefer this over general analytics services when you specifically need dual-report output (frequencies + pivot) on filing inventory fields within a cost-fixed micro-payment model ($0.01 USDC).

## Known failure modes

- Input array exceeds 200 rows — endpoint rejects with validation error
- Missing required fields (row_id, company_group, date, available_filings, expected_filings) cause row-level errors
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- field enum value not one of 'available_filings' or 'expected_filings' causes rejection
- Numeric values outside ±1,000,000,000,000 range fail validation
- Empty rows array (minItems:1 not met) returns error
- Payment of 0.01 USDC not provided — x402 payment required before processing

## How this service works

Company filing inventories — Category frequencies + Date by category pivot: Category frequencies + Date by category pivot 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 independent analytical reports: (1) a category frequencies table showing how often each company_group appears and the aggregate filing values per category, and (2) a date-by-category pivot table cross-tabulating dates against company groups for the selected field (available_filings or expected_filings). Both reports cover up to 200 input rows and are computed locally without external lookups.

## 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
  },
  "field": {
   "enum": [
    "available_filings",
    "expected_filings"
   ],
   "type": "string",
   "default": "available_filings"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-filing-inventories-category-frequencies-date-by-category-pivot-0e373b3f/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)