# Company Filing Inventories — Record Quality Audit + String Normalisation + Equal-Width Histogram

> Company Filing Inventories — Record Quality Audit + String Normalisation + Equal-Width Histogram 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).

Runs three local analytical reports (record quality audit, string normalisation, and equal-width histogram) on supplied company filing inventory data covering available_filings and expected_filings fields, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-17-202?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-record-quality-audit-string-normalisation-22ef614b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Vkk7JHho6BjFc1sdYUQFa

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-record-quality-audit-string-normalisation-22ef614b -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and equal-width histogram (5 bins) on my company filing inventory data — here are 4 rows with available_filings and expected_filings for groups A and B across October 2026, using the available_filings field for the histogram?

## When to prefer this

Choose this endpoint when you need to simultaneously profile, audit, and understand the distribution of company filing inventory data (available_filings / expected_filings) in a single low-cost call. It is ideal for batch data quality workflows on up to 200 rows where no live external data, predictions, or professional assessments are needed. It bundles three distinct analytical reports for $0.01 USDC, making it more efficient than calling separate quality, normalisation, and histogram endpoints independently.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Bins value outside 1–30 range causes a schema rejection
- Rows missing required fields (row_id, date, available_filings, expected_filings) fail validation
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- Numeric values outside ±1,000,000,000,000 fail schema validation

## How this service works

Company filing inventories — Record quality audit + String normalisation + Equal-width histogram: Record quality audit + String normalisation + Equal-width histogram for supplied company filing inventories records (available_filings, expected_filings). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Returns three independent analytical reports: (1) a record quality audit flagging nulls, out-of-range values, and structural issues per row; (2) a string normalisation report identifying and correcting inconsistencies in company_group and date fields; and (3) an equal-width histogram breaking the selected numeric field (available_filings or expected_filings) into the specified number of bins with counts per bin. All processing is local with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "bins": {
   "type": "integer",
   "default": 5,
   "maximum": 30,
   "minimum": 1
  },
  "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-record-quality-audit-string-normalisation-22ef614b/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)