# Company Filing Inventories — Record Quality Audit + String Normalisation + Base-100 Series

> Company Filing Inventories — Record Quality Audit + String Normalisation + Base-100 Series 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 base-100 index series) 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-17-201?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-d2baabfc
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_cjguPmfcFgLx62DuRnbHr

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-d2baabfc -d '<json body>'
```

Example prompt: Can you run the record quality audit, string normalisation, and base-100 index series on my company filing inventory data? I have 4 rows — group-a on 2026-10-01 with available_filings=10 and expected_filings=1, group-b on 2026-10-02 with available_filings=20 and expected_filings=2, and so on — and I want to index on the available_filings field starting from row 0.

## When to prefer this

Choose this endpoint when you need all three analytical reports — quality audit, string normalisation, and base-100 indexing — on company filing inventory data in a single low-cost call. It is ideal for batch offline analysis of up to 200 filing records without any need for live data lookups or external data enrichment. Best suited when you already have the filing data and want structured quality and normalisation insights quickly and cheaply.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, company_group, date, available_filings, expected_filings) causes a schema validation failure
- Invalid date format (not YYYY-MM-DD) is rejected by pattern validation
- base_index out of range (0–199) causes an error
- Null values in numeric fields may affect base-100 series calculation
- Payment failure (insufficient USDC) blocks execution

## How this service works

Company filing inventories — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + Base-100 series 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

Returns three independent analytical reports: (1) a record quality audit flagging data issues across the supplied rows, (2) a string normalisation report cleaning up company_group and other string fields, and (3) a base-100 index series for the chosen numeric field (available_filings or expected_filings) anchored to the specified base_index row. All analysis is performed 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-filing-inventories-record-quality-audit-string-normalisation-d2baabfc/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)