# Company Filing Inventories — Adjacent Row Changes & Two-Measure Correlation

> Company Filing Inventories — Adjacent Row Changes & Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).

Analyzes company filing inventory data by computing adjacent row changes and correlating two filing measures (available_filings and expected_filings) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-17-158?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/company-filing-inventories-adjacent-row-changes-two-measure-correlation-11a5b194
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Ye5cUndprP_wIzpUEcaso

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-adjacent-row-changes-two-measure-correlation-11a5b194 -d '<json body>'
```

Example prompt: Can you analyze my company filing inventory data — I have rows with available_filings and expected_filings by date and company group — and give me both the adjacent row changes and the correlation between those two measures for available_filings? Here are my rows: [{"row_id":"r1","company_group":"alpha","date":"2024-01-01","available_filings":50,"expected_filings":60},{"row_id":"r2","company_group":"alpha","date":"2024-01-02","available_filings":55,"expected_filings":58}].

## When to prefer this

Choose this endpoint when you have structured company filing inventory tabular data and need both row-over-row delta analysis and a statistical correlation between available and expected filings in a single low-cost call. Ideal for compliance teams, analysts, or agents processing regulatory filing records without needing live data lookup or external predictions. Best suited for datasets up to 200 rows where local analytical computation suffices.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, company_group, available_filings, expected_filings) causes rejection
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Null values for both measures may degrade correlation computation
- Submitting fewer than 2 rows may produce undefined adjacent change output
- Payment failure via x402 protocol blocks the request

## How this service works

Company filing inventories — Adjacent row changes + Two-measure correlation: Adjacent row changes + Two-measure correlation 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) an adjacent row changes report showing how the selected filing measure (available_filings or expected_filings) shifts between consecutive rows, and (2) a two-measure correlation report quantifying the statistical relationship between available_filings and expected_filings across the supplied dataset. Results are computed 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-filing-inventories-adjacent-row-changes-two-measure-correlation-11a5b194/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)