# Company Filing Inventories — Base-100 Series + Date by Category Pivot

> Company Filing Inventories — Base-100 Series + Date by Category Pivot 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).

Generates two analytical reports (Base-100 indexed time series and date-by-category pivot table) from supplied company filing inventory data (available_filings, expected_filings) for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-17-167?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-base-100-series-date-by-category-pivot-b8c478fc
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_XwE2ioBg_NnLYt8_B7JNV

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-base-100-series-date-by-category-pivot-b8c478fc -d '<json body>'
```

Example prompt: I have a dataset of company filing inventory records with available_filings and expected_filings for groups A and B across October 2026 — can you run the base-100 series and date-by-category pivot reports on it, indexed from row 0, using available_filings as the metric?

## When to prefer this

Choose this endpoint when you have already collected company filing inventory data (available_filings and/or expected_filings) and need two specific analytical views — a normalized base-100 time series and a date-by-category pivot — computed offline against your own supplied rows. Prefer it over general analytics tools when you need both reports in a single low-cost API call ($0.01 USDC for both), and when no live data lookup, prediction, or external enrichment is required. Best suited for up to 200 rows of structured filing inventory data grouped by company_group and date.

## Known failure modes

- Input rows array is empty or missing — validation error returned
- date field does not match YYYY-MM-DD pattern — schema validation failure
- base_index exceeds the number of supplied rows — index out of bounds error
- More than 200 rows supplied — request rejected due to maxItems constraint
- Null values in available_filings or expected_filings may cause gaps or skipped rows in output
- Invalid field enum value (not 'available_filings' or 'expected_filings') — schema validation error

## How this service works

Company filing inventories — Base-100 series + Date by category pivot: Base-100 series + Date by category pivot 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 Base-100 indexed time series showing how the selected filing metric (available_filings or expected_filings) has changed relative to the specified base row index, and (2) a date-by-category pivot table breaking down the metric by date and company_group. Both reports are computed locally from the supplied rows without any external data lookup.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-filing-inventories-base-100-series-date-by-category-pivot-b8c478fc/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)