# Company Filing Inventories — Record Quality Audit + Base-100 Series

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

Runs two analytical reports on supplied company filing inventory records: a record quality audit and a base-100 index series, covering available_filings and expected_filings fields across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-17-012?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-record-quality-audit-base-100-series-f64f4fa0
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_J5N_W3dLks6ni2qvWxy_W

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-record-quality-audit-base-100-series-f64f4fa0 -d '<json body>'
```

Example prompt: Can you audit the quality of these company filing inventory records and also generate a base-100 index series for the available_filings field, starting from index 0? I have about 50 rows across two groups, Alpha Corp and Beta Corp, with dates from 2025-01-01 to 2025-02-19.

## When to prefer this

Choose this endpoint when you have a batch of company filing inventory records (up to 200 rows) and need both a data quality audit and a base-100 normalization in a single low-cost call. It is ideal for compliance teams, data stewards, or analysts who want to validate filing record completeness and benchmark filing volume trends without any live data lookups or external dependencies.

## Known failure modes

- Rows array empty or missing — validation error returned
- More than 200 rows submitted — request rejected with max items error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Field value outside allowed numeric range — rejection
- base_index out of bounds (>199 or negative) — validation error
- Null values in numeric fields may affect index calculations

## How this service works

Company filing inventories — Record quality audit + Base-100 series: Record quality audit + Base-100 series 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 record quality audit highlighting data issues, missing values, and anomalies across the supplied rows, and (2) a base-100 index series normalizing the selected field (available_filings or expected_filings) relative to the chosen base row — all computed locally from the supplied data with no 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"
  },
  "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-record-quality-audit-base-100-series-f64f4fa0/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)