# Supplier Qualification Data Quality Suite: Record Audit + String Normalisation + Date-Category Pivot

> Supplier Qualification Data Quality Suite: Record Audit + String Normalisation + Date-Category Pivot 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 independent analytical reports on supplier qualification rows: a record quality audit, string normalisation, and a date-by-category pivot for checked_criteria or met_criteria fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-02-206?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-suite-record-audit-string-0d812f7f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_qNSSr8LwWzTOOY9CR_I7J

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-suite-record-audit-string-0d812f7f -d '<json body>'
```

Example prompt: Can you run the three-report supplier qualification audit on these rows — record quality audit, string normalisation, and date-by-category pivot — for the checked_criteria field? I have up to 50 supplier rows with row_id, company_group, date, checked_criteria, and met_criteria.

## When to prefer this

Choose this endpoint when you need three complementary data quality and analytical reports on supplier qualification data in a single low-cost call. Ideal when you have up to 200 rows of supplier records with criteria counts grouped by company and date, and want auditing, normalisation, and pivot analysis together without making separate API calls. Prefer it over single-report alternatives when you need the combined output for compliance, onboarding validation, or procurement analytics workflows.

## Known failure modes

- Rows array is empty or missing — minimum 1 row required
- More than 200 rows submitted — hard limit enforced
- date field does not match YYYY-MM-DD pattern — row rejected
- row_id missing or empty — required field
- checked_criteria or met_criteria values outside allowed numeric range
- Invalid field enum value — must be 'checked_criteria' or 'met_criteria'
- Payment of 0.01 USDC not confirmed — request rejected

## How this service works

Supplier qualification — Record quality audit + String normalisation + Date by category pivot: Record quality audit + String normalisation + Date by category pivot 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 structured analytical reports delivered together: (1) a record quality audit flagging completeness and consistency issues, (2) a string normalisation report standardising text fields in company_group and related strings, and (3) a date-by-category pivot summarising the selected numeric field (checked_criteria or met_criteria) broken down by company_group and date. All computed locally from the supplied rows with no external lookups.

## 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-suite-record-audit-string-0d812f7f/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)