# Company Filing Inventories — Numeric Row Ordering + Adjacent Row Changes

> Company Filing Inventories — Numeric Row Ordering + 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).

Analyzes company filing inventory records by ranking rows numerically and computing adjacent row changes for available_filings or expected_filings fields, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-17-116?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-numeric-row-ordering-adjacent-row-changes-516418e8
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_swA8P7pJUx1r2-DoFL6dU

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-numeric-row-ordering-adjacent-row-changes-516418e8 -d '<json body>'
```

Example prompt: Rank these company filing inventory rows numerically by available_filings and show me the changes between adjacent rows — I have 4 entries for group-a and group-b from 2026-10-01 to 2026-10-04 with available_filings values of 10, 20, 15, and 30.

## When to prefer this

Choose this endpoint when you have company filing inventory tabular data (up to 200 rows) and need both a numeric ranking and a sequential row-change analysis in a single low-cost call ($0.01 USDC for both reports). It is ideal for compliance teams, auditors, or analysts who want to identify ordering and trend changes in filing counts without sending data to an external prediction or lookup service — all computation is local and deterministic.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, company_group, date, available_filings, expected_filings) cause validation errors
- Invalid date format (must match YYYY-MM-DD pattern) causes schema validation failure
- Null values in the selected field may produce undefined or skipped deltas in adjacent row changes
- Invalid field selector (must be 'available_filings' or 'expected_filings') causes enum validation error
- Payment failure (insufficient USDC balance) blocks request processing

## How this service works

Company filing inventories — Numeric row ordering + Adjacent row changes: Numeric row ordering + 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 analytical reports: (1) a numeric row ordering of the submitted records ranked by the selected field (available_filings or expected_filings), and (2) an adjacent row changes report showing the delta between consecutive rows for the selected field. Both reports are computed locally from the supplied data 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-numeric-row-ordering-adjacent-row-changes-516418e8/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)