# Company Filing Inventories — String Normalisation + IQR Outlier Flags

> Company Filing Inventories — String Normalisation + 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 string normalisation and IQR-based outlier detection on up to 200 rows of company filing inventory data (available_filings, expected_filings), returning two analytical reports per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-17-032?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-string-normalisation-iqr-outlier-flags-c081b7f9
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_jKUrz2Z5nyVFBjRCkWbYd

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-string-normalisation-iqr-outlier-flags-c081b7f9 -d '<json body>'
```

Example prompt: Can you run string normalisation and IQR outlier detection on my company filing inventory data? I have 4 rows with company groups like 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, and I want to analyse the available_filings field.

## When to prefer this

Choose this endpoint when you need both string normalisation and IQR outlier detection on company filing inventory data (available_filings or expected_filings) in a single cheap call ($0.01 USDC for two reports). It is ideal for data quality pipelines processing up to 200 filing records at a time without requiring live data lookups or external integrations. Prefer it over generic analytics tools when working specifically with company_group-keyed filing inventory structures.

## Known failure modes

- Fewer than 1 row supplied — returns validation error
- More than 200 rows submitted — rejected with row limit error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, company_group, date) — rejected
- Numeric values outside allowed range (±1,000,000,000,000) — schema error
- Invalid field enum value — rejected with allowed values listed

## How this service works

Company filing inventories — String normalisation + IQR outlier flags: String normalisation + 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

Two analytical reports: (1) a string normalisation report showing standardised company_group values and normalisation changes applied; (2) an IQR outlier flagging report identifying which rows have available_filings or expected_filings values that fall outside the interquartile range bounds, with outlier flag indicators per row.

## 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-string-normalisation-iqr-outlier-flags-c081b7f9/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)