# Company Filing Inventories — Numeric Interval Filter + Daily Sum Series

> Company Filing Inventories — Numeric Interval Filter + 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).

Filters company filing inventory records by a numeric interval and computes daily sum series for available_filings or expected_filings across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-17-125?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-interval-filter-daily-sum-series-63e4bb0a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_MAIR__JAAUy-82TpSF18k

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-interval-filter-daily-sum-series-63e4bb0a -d '<json body>'
```

Example prompt: I have a dataset of company filing records with available_filings and expected_filings columns. Can you filter the rows where available_filings falls between 5 and 50, and also give me a daily sum series for available_filings across all my company groups?

## When to prefer this

Choose this endpoint when you have up to 200 company filing inventory records in hand and need both a numeric range filter and a daily sum aggregation in a single low-cost call ($0.01 USDC for both reports). Ideal for compliance analysts, operations teams, or agents that batch-process filing inventory snapshots and need lightweight local analytics without external data lookups or live database connections.

## Known failure modes

- Empty or malformed rows array returns an error
- date fields not matching YYYY-MM-DD pattern cause validation failure
- minimum greater than maximum produces empty interval filter result
- null values in numeric fields may be excluded from aggregations
- exceeding 200 rows returns a validation error
- invalid field enum value (not available_filings or expected_filings) causes rejection

## How this service works

Company filing inventories — Numeric interval filter + Daily sum series: Numeric interval filter + 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 reports: (1) rows from the supplied dataset whose selected field (available_filings or expected_filings) falls within the specified [minimum, maximum] numeric interval, and (2) a daily sum time series of the selected field aggregated by date — all computed locally against the supplied data, up to 200 rows.

## 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-filing-inventories-numeric-interval-filter-daily-sum-series-63e4bb0a/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)