# Company Record Completeness Analyzer — Audit, Normalisation & Histogram

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

Runs three analytical reports (record quality audit, string normalisation, equal-width histogram) on up to 200 company record completeness rows, measuring populated vs. required fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-01-202?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-analyzer-audit-normalisation-histogram-643b8006
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_YodbpQdkWiCOX1KP8woCt

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-audit-normalisation-histogram-643b8006 -d '<json body>'
```

Example prompt: Can you audit the completeness of my company records — I have 150 rows each with a row_id, company_group, date, populated_fields count, and required_fields count — and give me a quality audit, string normalisation report, and a 10-bin histogram on the populated_fields column?

## When to prefer this

Choose this endpoint when you need a quick, self-contained completeness audit on a batch of company records (up to 200 rows) without any external data lookups or predictions. It is ideal for data governance workflows, CRM hygiene checks, or pre-ingestion validation where you want three complementary analytical views — quality audit, normalisation, and histogram — in a single inexpensive call. Prefer alternatives if you need live data enrichment, predictive scoring, or record counts exceeding 200.

## Known failure modes

- More than 200 rows submitted — request rejected
- Missing required row fields (row_id, company_group, date, populated_fields, required_fields) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema rejection
- bins value outside 1–30 range — validation error
- field enum value not 'populated_fields' or 'required_fields' — rejection
- Null numeric values in required_fields or populated_fields may affect histogram accuracy

## How this service works

Company record completeness — Record quality audit + String normalisation + Equal-width histogram: Record quality audit + String normalisation + Equal-width histogram 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

Returns three independent analytical reports: (1) a record quality audit flagging completeness issues across the supplied rows, (2) a string normalisation report cleaning and standardising text fields such as company_group, and (3) an equal-width histogram bucketing the chosen numeric field (populated_fields or required_fields) into the specified number of bins. All analysis is performed locally on the supplied data 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",
     "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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-record-completeness-analyzer-audit-normalisation-histogram-643b8006/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)