# Company Record Completeness — Record Quality Audit + Missing-Value Fill

> Company Record Completeness — Record Quality Audit + Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).

Audits up to 200 company record completeness rows for quality issues and fills missing populated_fields or required_fields values using zero, mean, or median imputation.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-01-019?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/company-record-completeness-record-quality-audit-missing-value-fill-ee4d172b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Vym80zaG5cZcpZTrsO6sB

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-record-completeness-record-quality-audit-missing-value-fill-ee4d172b -d '<json body>'
```

Example prompt: Can you run a record quality audit and fill in any missing populated_fields values using median imputation on my company completeness dataset? I have rows for group-a and group-b from October 2026 with up to 200 entries.

## When to prefer this

Choose this endpoint when you have a local batch of up to 200 company record completeness rows and need both a quality audit and missing-value imputation in a single low-cost call ($0.01 USDC). It is ideal for data governance workflows, pre-load validation, and analytics prep where no live external data lookup is needed and the analysis can be performed entirely on the supplied data.

## Known failure modes

- Rows array is empty or exceeds 200 items — returns validation error
- row_id missing or blank — schema validation failure
- date field does not match YYYY-MM-DD pattern — rejected with pattern error
- populated_fields or required_fields outside allowed numeric range — validation error
- Invalid method enum value (not zero/mean/median) — rejected
- Invalid field enum value — rejected
- All values present with no nulls — imputation report notes nothing to fill

## How this service works

Company record completeness — Record quality audit + Explicit missing-value fill: Record quality audit + Explicit missing-value fill for supplied company record completeness records (populated_fields, required_fields). 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 independent reports: (1) a record quality audit identifying anomalies, nulls, and data issues across the submitted rows, and (2) an explicit missing-value fill report showing imputed values for the chosen field (populated_fields or required_fields) using the selected method (zero, mean, or median). All analysis is performed locally on the supplied 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",
     "populated_fields",
     "required_fields"
    ],
    "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
     },
     "required_fields": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "populated_fields": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "company_group": "group-a",
     "required_fields": 1,
     "populated_fields": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "company_group": "group-b",
     "required_fields": 2,
     "populated_fields": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "company_group": "group-a",
     "required_fields": 3,
     "populated_fields": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "company_group": "group-b",
     "required_fields": 4,
     "populated_fields": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "populated_fields",
    "required_fields"
   ],
   "type": "string",
   "default": "populated_fields"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-record-completeness-record-quality-audit-missing-value-fill-ee4d172b/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)