# Company Filing Inventories — Numeric Row Ordering + Explicit Missing-Value Fill

> Company Filing Inventories — Numeric Row Ordering + Explicit Missing-Value Fill 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).

Sorts company filing inventory rows numerically and fills missing values in available_filings or expected_filings using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-17-124?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-numeric-row-ordering-explicit-missing-59693d7f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_KESq7JRycOx07kx2QrYhz

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-numeric-row-ordering-explicit-missing-59693d7f -d '<json body>'
```

Example prompt: I have a dataset of up to 50 company filing inventory rows with some missing available_filings values — can you sort them numerically by row and fill the missing values using median imputation, then give me two reports on the result?

## When to prefer this

Choose this endpoint when you have tabular company filing inventory data (available_filings, expected_filings) that needs numeric row ordering and statistical missing-value imputation (zero, mean, or median) in a single call, without needing live data lookup, prediction, or external enrichment. It is especially useful for preprocessing filing datasets before audits, compliance checks, or downstream analysis, and is cost-effective at $0.01 for two reports covering up to 200 rows.

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Invalid date format (not YYYY-MM-DD) causing row rejection
- Missing required fields (row_id, company_group, date) causing schema validation failure
- All values for target field are null — mean/median imputation returns undefined or zero
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) rejected
- Payment of 0.01 USDC not fulfilled — 402 Payment Required response

## How this service works

Company filing inventories — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + Explicit missing-value fill 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

Two analytical reports covering the submitted filing inventory rows: one presenting numerically ordered row output and one with explicit missing-value fills applied to the chosen field (available_filings or expected_filings) using the selected imputation method (zero, mean, or median). No live data lookups or external sources are used; processing is done on the supplied rows only.

## 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-filing-inventories-numeric-row-ordering-explicit-missing-59693d7f/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)