# Customer Segment Observations — Record Quality Audit + String Normalisation + Duplicate Key Report

> Customer Segment Observations — Record Quality Audit + String Normalisation + Duplicate Key Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).

Runs three local analytical reports on customer segment observation records: a record quality audit, string normalisation, and a duplicate key report — all without any external lookups or live data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-16-192?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/customer-segment-observations-record-quality-audit-string-50e0f865
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_6CKUFVCo5rwS7mDpW7O7g

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 customer-segment-observations-record-quality-audit-string-50e0f865 -d '<json body>'
```

Example prompt: Can you audit this set of customer segment rows for data quality issues, normalise the company_group strings, and flag any duplicate row IDs? Here are up to 200 rows with fields: row_id, company_group, date, account_count, and revenue_amount.

## When to prefer this

Choose this endpoint when you need a low-cost ($0.01 USDC), self-contained data quality pass on up to 200 customer segment observation records covering three reports at once: quality audit, string normalisation, and duplicate detection. Ideal for pre-pipeline validation or spot-checks on CRM-style data where no live lookup, ML prediction, or external enrichment is needed.

## Known failure modes

- Exceeding 200 rows results in rejection or truncation
- Missing required fields (row_id, company_group, date, account_count, revenue_amount) causes validation errors
- Malformed date strings not matching YYYY-MM-DD pattern may cause row-level errors
- Numeric values outside ±1,000,000,000,000 bounds will be rejected
- Empty row array returns an error

## How this service works

Customer segment observations — Record quality audit + String normalisation + Duplicate key report: Record quality audit + String normalisation + Duplicate key report for supplied customer segment observations records (account_count, revenue_amount). 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 reports: (1) a record quality audit flagging missing, null, or out-of-range values in account_count and revenue_amount fields; (2) a string normalisation report showing standardised versions of company_group and other string fields; (3) a duplicate key report identifying rows sharing the same row_id or key combination. All reports are computed locally with no external data access.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "company_group",
     "date",
     "account_count",
     "revenue_amount"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "account_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "company_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "revenue_amount": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "account_count": 10,
     "company_group": "group-a",
     "revenue_amount": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "account_count": 20,
     "company_group": "group-b",
     "revenue_amount": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "account_count": 15,
     "company_group": "group-a",
     "revenue_amount": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "account_count": 30,
     "company_group": "group-b",
     "revenue_amount": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/customer-segment-observations-record-quality-audit-string-50e0f865/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)