# Supplier Qualification — Record Quality Audit + Date by Category Pivot

> Supplier Qualification — Record Quality Audit + Date by 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 two local analytical reports on supplied supplier qualification records: a record quality audit and a date-by-category pivot for checked_criteria or met_criteria fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-02-017?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-record-quality-audit-date-by-category-pivot-8d76bdc4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_awkCp-Rw3PCFgVoA3F8N1

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-record-quality-audit-date-by-category-pivot-8d76bdc4 -d '<json body>'
```

Example prompt: Run a record quality audit and date-by-category pivot on my supplier qualification records — I'll send up to 50 rows with row_id, company_group, date, checked_criteria, and met_criteria, and I want to analyze the met_criteria field.

## When to prefer this

Choose this endpoint when you have supplier qualification records with checked_criteria and met_criteria numeric fields and need both a data quality audit and a date-by-category pivot in a single low-cost call. It is ideal for procurement analysts who want to validate data completeness and summarize performance across vendor groups over time without any external data lookups or live predictions. At $0.01 USDC for two reports on up to 200 rows, it is highly cost-effective for batch offline analysis of qualification data.

## Known failure modes

- Fewer than 1 or more than 200 rows submitted — returns validation error
- Missing required fields (row_id, company_group, date, checked_criteria, met_criteria) on any row — returns schema validation error
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — validation error
- Invalid field selector (not 'checked_criteria' or 'met_criteria') — enum validation error
- Payment not provided or insufficient — x402 payment required error

## How this service works

Supplier qualification — Record quality audit + Date by category pivot: Record quality audit + Date by category pivot for supplied supplier qualification records (checked_criteria, met_criteria). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.

## Output

Two analytical reports based on the supplied data: (1) a record quality audit flagging data completeness, nulls, and anomalies in the qualification records; (2) a pivot table showing the selected numeric field (checked_criteria or met_criteria) broken down by date and company_group category. Results are computed locally with no external lookups, covering up to 200 rows.

## 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-record-quality-audit-date-by-category-pivot-8d76bdc4/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)