# Company Record Completeness Analyzer — Quality Audit, Deduplication & Trailing Mean

> Company Record Completeness Analyzer — Quality Audit, Deduplication & Trailing Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).

Runs three local analytical reports on company record completeness data: a record quality audit, exact row deduplication, and a trailing mean time series, for up to 200 rows of populated_fields/required_fields data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-01-216?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/company-record-completeness-analyzer-quality-audit-deduplication-214a25c3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ILlrP3iptYG1VDtDRHj1F

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-analyzer-quality-audit-deduplication-214a25c3 -d '<json body>'
```

Example prompt: Can you run the three-report completeness analysis on my company records — quality audit, exact dedup, and trailing mean with a window of 3 — for these rows: group-a had 10 populated out of 15 required on 2026-10-01, group-b had 8 out of 12 on 2026-10-02, and group-a had 14 out of 15 on 2026-10-03? I want to analyze the populated_fields metric.

## When to prefer this

Choose this endpoint when you have company record completeness data (populated vs required fields) and need all three of: a data quality audit, exact duplicate detection, and a rolling mean trend — bundled in a single $0.01 call for up to 200 rows. It is purely local/analytical with no external data fetching, making it ideal for offline data governance workflows, pre-migration checks, or batch completeness audits where privacy and determinism matter.

## Known failure modes

- More than 200 rows supplied — request rejected or truncated
- Missing required fields (row_id, company_group, date, populated_fields, required_fields) cause validation errors
- Invalid date format (non YYYY-MM-DD) triggers schema rejection
- Window value outside 2–200 range causes parameter error
- Null numeric values for populated_fields or required_fields may affect trailing mean calculation
- Malformed JSON input returns 4xx error

## How this service works

Company record completeness — Record quality audit + Exact row deduplication + Trailing mean series: Record quality audit + Exact row deduplication + Trailing mean series for supplied company record completeness records (populated_fields, required_fields). 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

Three independent analytical reports returned together: (1) a record quality audit summarizing completeness metrics across supplied rows, (2) an exact row deduplication report flagging identical records, and (3) a trailing mean time series computed over the specified window for the selected field (populated_fields or required_fields), all derived from 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-record-completeness-analyzer-quality-audit-deduplication-214a25c3/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)