# Company Filing Inventories — String Normalisation + Grouped Numeric Summary

> Company Filing Inventories — String Normalisation + Grouped Numeric Summary is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-20).

Normalises string fields and produces a grouped numeric summary 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-17-023?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-20
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/company-filing-inventories-string-normalisation-grouped-numeric-summary-caea7f3c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_XwhRrF-SptqN8QXg7X233

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-string-normalisation-grouped-numeric-summary-caea7f3c -d '<json body>'
```

Example prompt: I have a list of up to 200 company filing inventory rows with fields like company_group, date, available_filings, and expected_filings — can you normalise the string fields and give me a grouped numeric summary broken down by company group, focusing on available_filings?

## When to prefer this

Choose this endpoint when you have tabular company filing inventory data (up to 200 rows) that needs both string normalisation and grouped numeric aggregation in a single low-cost call ($0.01 USDC). It is ideal for offline batch analysis of available_filings or expected_filings grouped by company, with no need for live data lookups, external integrations, or predictions. Prefer alternatives if you need real-time filing data, more than 200 rows, or cross-entity correlation analysis.

## Known failure modes

- Exceeding 200 rows triggers a validation error
- Missing required fields (row_id, company_group, date, available_filings, expected_filings) cause row-level rejection
- Invalid date format (non-YYYY-MM-DD) fails pattern validation
- Numeric values outside ±1,000,000,000,000 are rejected
- Payment failure or insufficient USDC balance prevents processing
- Empty rows array is rejected (minItems: 1)

## How this service works

Company filing inventories — String normalisation + Grouped numeric summary: String normalisation + Grouped numeric summary 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 reports sharing local analytical engines: (1) a string normalisation report cleaning fields such as company_group across all supplied rows, and (2) a grouped numeric summary aggregating the selected numeric field (available_filings or expected_filings) by company_group, covering up to 200 rows with descriptive statistics per group.

## 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-string-normalisation-grouped-numeric-summary-caea7f3c/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)