# Company Filing Inventories — Record Quality Audit & Adjacent Row Changes

> Company Filing Inventories — Record Quality Audit & Adjacent Row Changes 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 two local analytical reports on company filing inventory data: a record quality audit and adjacent row change detection, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-17-011?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-adjacent-row-changes-8c6846ab
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_2HCizEFD0lOm01DJE6SbW

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-adjacent-row-changes-8c6846ab -d '<json body>'
```

Example prompt: Can you run a record quality audit and adjacent row change report on my company filing inventory data? I have rows for group-a and group-b from 2026-10-01 to 2026-10-04 with available_filings values of 10, 20, 15, and 30 — analyze the available_filings field.

## When to prefer this

Choose this endpoint when you need offline, privacy-preserving analytical reports on tabular company filing inventory data — specifically a quality audit and adjacent row change detection — without any external data lookup or live enrichment. Ideal for pre-processing datasets before downstream analysis, validating filing counts across company groups and dates, or spotting anomalies in sequential filing records. Best when your dataset fits within 200 rows and you want two distinct analytical perspectives for a flat $0.01 USDC fee.

## Known failure modes

- Fewer than 1 or more than 200 rows provided — rejected with validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, company_group, date, available_filings, expected_filings) — request rejected
- Field enum value not one of 'available_filings' or 'expected_filings' — validation error
- Payment not included or insufficient — x402 payment required response
- Null numeric values may reduce report completeness but are allowed within range

## How this service works

Company filing inventories — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes 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 analytical reports: (1) a record quality audit identifying missing values, format issues, outliers, or inconsistencies in the specified field across supplied rows; and (2) an adjacent row changes report showing row-over-row deltas for the selected field (available_filings or expected_filings), all computed locally without 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-record-quality-audit-adjacent-row-changes-8c6846ab/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)