# Company Filing Inventories — String Normalisation + Base-100 Series

> Company Filing Inventories — String Normalisation + Base-100 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).

Normalises string fields and computes Base-100 index series for up to 200 rows of company filing inventory data (available_filings, expected_filings) using local analytical engines.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-17-030?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-string-normalisation-base-100-series-021e194a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_k3QUVGkC27ZnvEUOH9DtO

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-string-normalisation-base-100-series-021e194a -d '<json body>'
```

Example prompt: Can you normalise and compute a Base-100 index series for my company filing inventory data? I have 4 rows: group-a on 2026-10-01 with available_filings=10 and expected_filings=1, group-b on 2026-10-02 with available_filings=20 and expected_filings=2, group-a on 2026-10-03 with available_filings=15 and expected_filings=3, and group-b on 2026-10-04 with available_filings=30 and expected_filings=4 — index off the first row and analyse the available_filings field.

## When to prefer this

Choose this endpoint when you have tabular company filing inventory data (available_filings, expected_filings) and need both string normalisation and a Base-100 index series computed in one call for up to 200 rows. It is ideal for offline or batch analytical workflows where no live data lookup, prediction, or external data enrichment is needed — just clean, indexed output from your supplied records. At $0.01 USDC for two reports, it is cost-effective for routine compliance or inventory benchmarking tasks.

## Known failure modes

- Fewer than 1 or more than 200 rows supplied — request rejected
- Missing required fields (row_id, company_group, date, available_filings, expected_filings) on any row — validation error
- base_index out of range (0–199) or exceeding the number of supplied rows — error
- Date strings not matching YYYY-MM-DD format — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — rejection
- All numeric values for selected field are null — Base-100 series cannot be computed

## How this service works

Company filing inventories — String normalisation + Base-100 series: String normalisation + Base-100 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

Two analytical reports: (1) normalised string output for the supplied company_group and date fields, and (2) a Base-100 index series for the selected numeric field (available_filings or expected_filings) anchored to the specified base_index row — all computed locally for up to 200 input rows 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"
  },
  "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-string-normalisation-base-100-series-021e194a/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)