# Company Filing Inventories — Record Quality Audit + Exact Row Deduplication

> Company Filing Inventories — Record Quality Audit + Exact Row Deduplication 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).

Audits up to 200 company filing inventory rows for record quality issues and identifies exact duplicate rows across available_filings and expected_filings fields, returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-17-002?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-exact-row-deduplication-ddcbf7c4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_vickZLk4E098atbeLSRIx

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-exact-row-deduplication-ddcbf7c4 -d '<json body>'
```

Example prompt: Can you audit these company filing inventory records for quality issues and exact duplicates? I have up to 50 rows with fields like row_id, company_group, date, available_filings, and expected_filings — I need both the record quality audit report and the deduplication report.

## When to prefer this

Choose this endpoint when you need to perform both a data quality audit and exact row deduplication on company filing inventory data (available_filings, expected_filings) in a single low-cost call. It is ideal for batch validation of up to 200 rows with no need for live lookups, external APIs, or professional assessment — purely local analytical processing. It is cost-effective at $0.01 USDC for both reports simultaneously.

## Known failure modes

- More than 200 rows submitted — request rejected due to row limit
- Missing required fields (row_id, date, company_group, available_filings, expected_filings) — validation error
- Malformed date strings not matching YYYY-MM-DD pattern — schema validation failure
- Numeric values outside allowed range (-1T to +1T) — rejected
- Empty rows array — rejected due to minItems:1 constraint

## How this service works

Company filing inventories — Record quality audit + Exact row deduplication: Record quality audit + Exact row deduplication 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 independent analytical reports: (1) a record quality audit identifying issues such as null values, out-of-range numbers, malformed dates, or invalid fields within the supplied rows; and (2) an exact row deduplication report identifying rows that are perfectly identical across all fields. Both reports are generated locally 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-filing-inventories-record-quality-audit-exact-row-deduplication-ddcbf7c4/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)