# Registry Snapshots — Record Quality Audit + String Normalisation + Two-Measure Correlation

> Registry Snapshots — Record Quality Audit + String Normalisation + Two-Measure Correlation 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 analytical reports (record quality audit, string normalisation, and two-measure correlation) on registry snapshot data containing registered_entities and changed_entities fields, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-04-204?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/registry-snapshots-record-quality-audit-string-normalisation-two-b10eb44b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_urMTGBzdVkns3X6W13HtK

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 registry-snapshots-record-quality-audit-string-normalisation-two-b10eb44b -d '<json body>'
```

Example prompt: Can you audit the data quality, normalise the string fields, and run a correlation between registered_entities and changed_entities for my registry snapshot? I have rows for company groups like 'group-a' and 'group-b' from 2026-10-01 to 2026-10-04 — about 4 rows total.

## When to prefer this

Choose this endpoint when you need three bundled analytical reports — quality audit, string normalisation, and numeric correlation — on registry snapshot data in a single low-cost call. It is ideal for batch offline analysis of up to 200 rows of company registry data without needing live lookups, external data enrichment, or professional assessment. It is not appropriate for real-time lookups, predictions, or datasets exceeding 200 rows.

## Known failure modes

- Input array is empty or missing (minItems:1 violated)
- Input exceeds 200 rows (maxItems:200 violated)
- date field does not match YYYY-MM-DD format (pattern mismatch)
- row_id is blank or too long (minLength:1, maxLength:80)
- registered_entities or changed_entities values exceed allowed numeric range
- Payment of 0.01 USDC not received, resulting in 402 response
- Malformed JSON body causes 400 error

## How this service works

Registry snapshots — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation for supplied registry snapshots records (registered_entities, changed_entities). 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 covering: (1) a record quality audit identifying completeness, formatting, and consistency issues; (2) a string normalisation report for company_group and other string fields; and (3) a two-measure Pearson or similar correlation analysis between registered_entities and changed_entities across the supplied rows.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "company_group",
     "date",
     "registered_entities",
     "changed_entities"
    ],
    "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
     },
     "changed_entities": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "registered_entities": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "company_group": "group-a",
     "changed_entities": 1,
     "registered_entities": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "company_group": "group-b",
     "changed_entities": 2,
     "registered_entities": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "company_group": "group-a",
     "changed_entities": 3,
     "registered_entities": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "company_group": "group-b",
     "changed_entities": 4,
     "registered_entities": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/registry-snapshots-record-quality-audit-string-normalisation-two-b10eb44b/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)