# Company Filing Inventories — Category Frequencies + Daily Sum Series

> Company Filing Inventories — Category Frequencies + 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 2026-10-16).

Analyzes company filing inventory data (available_filings, expected_filings) to produce two reports: category frequency distributions and daily sum time series, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-17-102?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-category-frequencies-daily-sum-series-2f6d6a62
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Jk-KDrltEihxa3GZtRVXb

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-category-frequencies-daily-sum-series-2f6d6a62 -d '<json body>'
```

Example prompt: I have a list of up to 200 company filing inventory records with dates, company groups, and both available_filings and expected_filings counts — can you run the category frequency and daily sum series reports on the available_filings field for me?

## When to prefer this

Choose this endpoint when you have up to 200 rows of company filing inventory records and need both a category frequency distribution and a daily sum time series in a single paid call ($0.01 USDC). It is ideal for offline/batch analytical summarization of filing data without requiring external data sources or live lookups. Prefer it over generic analytics tools when your data is already structured with company_group and date fields matching the schema.

## Known failure modes

- Missing required fields (row_id, date, company_group) cause validation errors
- More than 200 rows submitted exceeds the row limit and may be rejected
- Dates not matching YYYY-MM-DD pattern fail schema validation
- Null values in the selected metric field may be excluded from sums
- Invalid field enum value other than 'available_filings' or 'expected_filings' causes rejection
- Payment of 0.01 USDC not provided causes x402 payment-required error

## How this service works

Company filing inventories — Category frequencies + Daily sum series: Category frequencies + 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 derived from the supplied filing inventory rows: (1) a category frequency table showing how often each company_group appears or contributes to the selected metric, and (2) a daily sum time series aggregating the chosen field (available_filings or expected_filings) by date. Both reports are computed locally from the submitted 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-category-frequencies-daily-sum-series-2f6d6a62/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)