# Company Filing Inventories — Base-100 Series + Explicit Missing-Value Fill

> Company Filing Inventories — Base-100 Series + 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).

Transforms supplied company filing inventory data (available_filings, expected_filings) into a Base-100 index series and fills any missing values using a chosen fill method (zero, mean, or median).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-17-169?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-base-100-series-explicit-missing-value-fill-ddbab2f9
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_znLcj6xIoh156eE1vkn6v

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-base-100-series-explicit-missing-value-fill-ddbab2f9 -d '<json body>'
```

Example prompt: I have a table of company filing inventory records with some missing values — can you index the available_filings column to Base-100 starting from row 0 and fill in the blanks using median imputation? Here are up to 50 rows across groups A and B with dates from 2026-10.

## When to prefer this

Choose this endpoint when you have pre-collected company filing inventory data (available_filings and/or expected_filings) that contains missing values and needs to be normalized to a common baseline for comparison. It is ideal for offline batch analytical work on up to 200 rows where you want both Base-100 indexing and null imputation in a single call. Prefer this over raw data lookups or prediction services — it performs no live data fetching, forecasting, or external actions.

## Known failure modes

- More than 200 rows submitted — request rejected at maxItems limit
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- base_index out of range (0–199) — validation error
- Null or missing row_id — required field error
- Numeric values outside ±1,000,000,000,000 — schema rejection
- No rows provided (minItems:1 violated) — empty input error

## How this service works

Company filing inventories — Base-100 series + Explicit missing-value fill: Base-100 series + 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 containing: (1) a Base-100 indexed time series for the selected filing measure (available_filings or expected_filings), normalized relative to the specified base row; and (2) the same data with explicit missing-value fills applied using the chosen method (zero, mean, or median). Up to 200 rows processed per call.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-filing-inventories-base-100-series-explicit-missing-value-fill-ddbab2f9/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)