# Company Filing Inventories Data Quality Audit Suite

> Company Filing Inventories Data Quality Audit Suite 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 local analytical reports on company filing inventory records: record quality audit, exact row deduplication, and adjacent row change detection.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-17-217?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-data-quality-audit-suite-0686f31b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_X6SKT6VrraByHTXN97QB2

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-data-quality-audit-suite-0686f31b -d '<json body>'
```

Example prompt: Can you audit my company filing inventory data for quality issues, exact duplicates, and adjacent row changes? I have rows with fields like company_group, date, available_filings, and expected_filings — I want all three reports focusing on the available_filings field.

## When to prefer this

Choose this endpoint when you need three complementary data quality checks on company filing inventory records in a single low-cost call ($0.01 USDC). Ideal for pre-processing pipelines where you want to catch quality issues, duplicates, and sequential anomalies together before downstream analysis. Best suited for datasets up to 200 rows with the specific available_filings/expected_filings schema. Not suitable when you need live data lookups, predictions, or professional assessments.

## Known failure modes

- More than 200 rows submitted — request rejected due to row limit
- Missing required fields (row_id, company_group, date, available_filings, or expected_filings) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — rejected
- Empty rows array — minimum 1 item required
- Payment not included or insufficient — x402 payment required error

## How this service works

Company filing inventories — Record quality audit + Exact row deduplication + Adjacent row changes: Record quality audit + Exact row deduplication + Adjacent row changes 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 returned together: (1) a record quality audit flagging nulls, formatting issues, and anomalies; (2) an exact row deduplication report identifying identical records; and (3) an adjacent row changes report showing how values shift between consecutive rows — 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
  },
  "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-data-quality-audit-suite-0686f31b/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)