# Supplier Qualification Data Quality Audit (Record Quality + String Normalisation + IQR Outlier Flags)

> Supplier Qualification Data Quality Audit (Record Quality + String Normalisation + IQR Outlier Flags) 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 on supplied supplier qualification records: a record quality audit, string normalisation, and IQR-based outlier detection for checked_criteria and met_criteria fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-02-203?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/supplier-qualification-data-quality-audit-record-quality-string-f51b3dca
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_pLXOgMqMHQPQBwoAo-GM9

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 supplier-qualification-data-quality-audit-record-quality-string-f51b3dca -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and IQR outlier check on these supplier qualification rows? I have up to 50 rows with fields row_id, company_group, date, checked_criteria, and met_criteria — I want to audit the checked_criteria field for outliers and data quality issues.

## When to prefer this

Choose this endpoint when you need a bundled, cost-efficient data quality pass on supplier qualification records specifically — covering string normalisation, completeness auditing, and numeric outlier detection in one call. Prefer it over building custom scripts when you have up to 200 rows with checked_criteria and met_criteria fields and want three complementary quality reports for $0.01 USDC. Not suitable if you need live external lookups, predictive scoring, or records exceeding 200 rows.

## Known failure modes

- More than 200 rows submitted — request rejected due to row limit
- Missing required fields (row_id, company_group, date, checked_criteria, met_criteria) on any row — validation error
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- Invalid field enum value (not 'checked_criteria' or 'met_criteria') — rejected
- Empty rows array — rejected due to minItems:1 constraint
- Numeric values outside allowed range (-1e12 to 1e12) — schema rejection

## How this service works

Supplier qualification — Record quality audit + String normalisation + IQR outlier flags: Record quality audit + String normalisation + IQR outlier flags for supplied supplier qualification records (checked_criteria, met_criteria). 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 missing, malformed, or inconsistent records; (2) string normalisation results for text fields like company_group; and (3) IQR-based outlier flags on the selected numeric field (checked_criteria or met_criteria), all applied to the supplied rows (up to 200).

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/supplier-qualification-data-quality-audit-record-quality-string-f51b3dca/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)