# Company Filing Inventories — Base-100 Series + Secondary-Measure Weighted Mean

> Company Filing Inventories — Base-100 Series + Secondary-Measure Weighted Mean 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).

Computes Base-100 index series and secondary-measure weighted mean analytics 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-17-166?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-secondary-measure-weighted-379d6c1c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_AdBfaYxqEZfKgBOQr03b0

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-secondary-measure-weighted-379d6c1c -d '<json body>'
```

Example prompt: I have filing inventory records for groups A and B across the last quarter — can you normalize available_filings to a base-100 index starting from the first row and also give me the weighted mean using expected_filings as the secondary measure?

## When to prefer this

Choose this endpoint when you have company filing inventory data (available_filings, expected_filings) already in hand and need both a base-100 normalized index series and a weighted mean computed locally without any external lookup, prediction, or live data. Ideal for offline or batch analytical workflows where you supply structured row data and want two complementary statistical reports in a single $0.01 call covering up to 200 rows.

## Known failure modes

- Missing required fields (row_id, date, company_group, available_filings, expected_filings) cause validation errors
- Providing more than 200 rows exceeds the maxItems limit and will be rejected
- Invalid date format (not YYYY-MM-DD) will fail pattern validation
- base_index referencing a non-existent row index may produce undefined results
- Null values in the selected measurement field may affect weighted mean computation
- Malformed numeric values outside ±1,000,000,000,000 will fail schema validation

## How this service works

Company filing inventories — Base-100 series + Secondary-measure weighted mean: Base-100 series + Secondary-measure weighted mean 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 Base-100 index series normalizing the selected field (available_filings or expected_filings) relative to the specified base row, and (2) a secondary-measure weighted mean computed across the supplied rows. Both reports use local analytical engines with no external data lookups. Output covers up to 200 input rows.

## 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"
  },
  "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-secondary-measure-weighted-379d6c1c/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)