# Company Filing Inventories — Record Quality Audit, Exact Row Deduplication & IQR Outlier Flags

> Company Filing Inventories — Record Quality Audit, Exact Row Deduplication & IQR Outlier Flags 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 three analytical reports on company filing inventory data: a record quality audit, exact row deduplication, and IQR-based outlier flagging — all locally, on up to 200 supplied rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-17-220?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-ed39a304
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_S1ift5T_dhQgBlr7s1O4g

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-ed39a304 -d '<json body>'
```

Example prompt: Can you run a full data quality check on my company filing inventory data — audit record quality, find any duplicate rows, and flag IQR outliers in the available_filings column? I have about 50 rows with fields: row_id, company_group, date, available_filings, and expected_filings.

## When to prefer this

Choose this endpoint when you need three data quality checks in one call — record auditing, deduplication, and IQR outlier detection — on company filing inventory data (available_filings, expected_filings) with up to 200 rows. It is best suited for batch data quality validation prior to loading, reporting, or analysis, where no live lookup, external enrichment, or predictive modeling is needed. It is cost-effective at $0.01 USDC for all three 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
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — rejected
- Insufficient rows for IQR computation — outlier report may be empty or skipped
- Payment not provided or insufficient — x402 payment required error

## How this service works

Company filing inventories — Record quality audit + Exact row deduplication + IQR outlier flags: Record quality audit + Exact row deduplication + IQR outlier flags for supplied company filing inventories records (available_filings, expected_filings). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Three independent analytical reports: (1) a record quality audit highlighting missing, malformed, or incomplete fields across the supplied rows; (2) an exact row deduplication report identifying repeated records; and (3) IQR-based outlier flags on the selected numeric field (available_filings or expected_filings), all computed 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
  },
  "field": {
   "enum": [
    "available_filings",
    "expected_filings"
   ],
   "type": "string",
   "default": "available_filings"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-filing-inventories-record-quality-audit-exact-row-ed39a304/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)