# Company Filing Inventories — Record Quality Audit, String Normalisation & Category Frequencies

> Company Filing Inventories — Record Quality Audit, String Normalisation & Category Frequencies 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 (record quality audit, string normalisation, and category frequency analysis) on supplied company filing inventory data (available_filings, expected_filings) for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-17-195?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-string-normalisation-51d74480
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_dPTmvVzLmlP2hz7auj_oi

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-string-normalisation-51d74480 -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and category frequency analysis on my company filing inventory data? I have up to 50 rows with fields like row_id, company_group, date, available_filings, and expected_filings — here's the data.

## When to prefer this

Choose this endpoint when you have a batch of up to 200 company filing inventory records and need three simultaneous analytical views — data quality, string normalisation, and category frequencies — in a single cheap call ($0.01 USDC). It is ideal for pre-processing or auditing filing data pipelines before downstream analysis, without needing a live data connection or external service.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, company_group, date, available_filings, expected_filings) in any row causes validation failure
- Malformed date strings not matching YYYY-MM-DD pattern are flagged or rejected
- Numeric values outside the allowed range (-1e12 to 1e12) are rejected
- Empty input array (minItems: 1 not met) causes rejection
- Payment not included or insufficient USDC causes 402 response

## How this service works

Company filing inventories — Record quality audit + String normalisation + Category frequencies: Record quality audit + String normalisation + Category frequencies 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 flagging missing values, invalid dates, out-of-range numbers, and other data issues; (2) a string normalisation report identifying inconsistent or malformed string values in fields like company_group; and (3) a category frequency report showing the distribution and counts of values across categorical fields — all computed locally without any 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-string-normalisation-51d74480/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)