# Company Filing Inventories — Numeric Row Ordering + Daily Sum Series

> Company Filing Inventories — Numeric Row Ordering + Daily Sum 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).

Computes numeric row ordering and daily sum series for up to 200 rows of company filing inventory data (available_filings, expected_filings), returning 2 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-17-114?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-daily-sum-series-76cafad3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Xhprps4yYjRI1GmZrgF2r

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-daily-sum-series-76cafad3 -d '<json body>'
```

Example prompt: I have a list of up to 50 company filing inventory rows — each with a date, company group, available_filings, and expected_filings — can you run both a numeric row ordering and a daily sum series report on the available_filings field?

## When to prefer this

Choose this endpoint when you need two quick analytical passes — numeric ranking and daily aggregation — on company filing inventory data you already have on hand, without needing external data lookups or predictions. It is ideal for compliance teams, analysts, or agents processing up to 200 rows of filing records who want both row-level ordering and a time-series sum in a single low-cost call ($0.01 USDC).

## Known failure modes

- Input array exceeds 200 rows — request will be rejected
- Missing required row fields (row_id, date, available_filings, expected_filings) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- Null values in numeric fields may affect sum aggregation results
- Field enum value not matching 'available_filings' or 'expected_filings' — invalid input error

## How this service works

Company filing inventories — Numeric row ordering + Daily sum series: Numeric row ordering + Daily sum series 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 for the supplied rows: (1) a numeric row ordering that ranks each input row by the selected field value, and (2) a daily sum series that aggregates the selected field (available_filings or expected_filings) by date. Up to 200 rows processed per call using local analytical engines 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-daily-sum-series-76cafad3/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)