# Company Filing Inventories — Trailing Mean Series + Adjacent Row Changes

> Company Filing Inventories — Trailing Mean Series + 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).

Computes trailing moving-average series and adjacent-row delta changes for company filing inventory data (available_filings, expected_filings) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-17-146?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-trailing-mean-series-adjacent-row-changes-b67c4ce4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Foic5d81plaElodJUZjn2

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-trailing-mean-series-adjacent-row-changes-b67c4ce4 -d '<json body>'
```

Example prompt: Run trailing mean and adjacent row change reports on my company filing inventory data — I have rows with company_group, date, available_filings, and expected_filings fields, using a window of 5 and analyzing the available_filings field.

## When to prefer this

Choose this endpoint when you have pre-collected company filing inventory data (available_filings, expected_filings) in tabular row format and need both a rolling/trailing mean time series and row-to-row change detection in a single low-cost call. Ideal for offline or batch analytical workflows where no live data lookup or external enrichment is needed, and when your dataset fits within 200 rows. Prefer this over generic analytics tools when you want a bundled two-report output (trailing mean + adjacent changes) at a fixed micro-cost of $0.01 USDC.

## Known failure modes

- Fewer than 1 row submitted returns validation error
- More than 200 rows submitted exceeds limit
- Invalid date format (non YYYY-MM-DD) causes schema rejection
- Window size larger than number of rows may produce sparse or null trailing mean values
- Missing required fields (row_id, date, available_filings, expected_filings) cause request rejection
- Non-numeric values in filing fields when nulls not intended may cause computation errors

## How this service works

Company filing inventories — Trailing mean series + Adjacent row changes: Trailing mean series + 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 sharing the same input rows: (1) a trailing mean series showing the rolling average of the selected field over the specified window size per row, and (2) adjacent row changes showing the delta between consecutive rows for the selected field — both reports covering up to 200 input rows of company filing inventory data.

## 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-filing-inventories-trailing-mean-series-adjacent-row-changes-b67c4ce4/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)