# Company Filing Inventories — Record Quality Audit + IQR Outlier Flags

> Company Filing Inventories — Record Quality Audit + 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 a record quality audit and IQR-based outlier detection on up to 200 rows of company filing inventory data (available_filings, expected_filings), returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-17-014?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-iqr-outlier-flags-93503932
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Llsy1w5-Cuh_SiCtBi10M

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-iqr-outlier-flags-93503932 -d '<json body>'
```

Example prompt: Can you audit the quality of these company filing records and flag any IQR outliers in the available_filings field? I have up to 50 rows with fields like row_id, company_group, date, available_filings, and expected_filings.

## 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 general record quality audit and IQR-based statistical outlier detection in a single call. It is ideal for pre-processing or data cleaning pipelines where you want to identify dirty or anomalous filing records without any external lookups or live data. Prefer this over generic data validation tools when your data specifically involves available_filings and expected_filings fields organized by company group and date.

## Known failure modes

- Fewer than 1 row or more than 200 rows submitted — request rejected
- Missing required fields (row_id, company_group, date, available_filings, expected_filings) on any row — validation error
- Invalid date format (non YYYY-MM-DD) — schema validation failure
- Field selector not one of 'available_filings' or 'expected_filings' — enum validation error
- All values null for selected field — IQR computation may be undefined or return no flags
- Payment not received or insufficient — 402 payment required error

## How this service works

Company filing inventories — Record quality audit + IQR outlier flags: Record quality audit + IQR outlier flags 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 independent reports: (1) a record quality audit identifying data issues such as nulls, format errors, or invalid values across the supplied rows, and (2) IQR outlier flags identifying which rows contain statistically anomalous values for the selected field (available_filings or expected_filings). No live lookup or external data is used — all analysis is performed locally on the supplied data.

## 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-iqr-outlier-flags-93503932/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)