# Supplier Qualification Record Quality Audit + Base-100 Series

> Supplier Qualification Record Quality Audit + Base-100 Series 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 analytical reports on supplier qualification records: a record quality audit and a Base-100 indexed series for checked_criteria or met_criteria values across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-02-012?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-base-100-series-965fde94
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_MPzwMX6d0KdqEA3GdIohF

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-base-100-series-965fde94 -d '<json body>'
```

Example prompt: Can you run a record quality audit and Base-100 series on my supplier qualification data? I have rows for group-a and group-b from October 2026, with checked_criteria and met_criteria values — use checked_criteria as the field and row index 0 as the base.

## When to prefer this

Choose this endpoint when you need a dual-report analytical pass on supplier qualification records — specifically a data quality audit combined with a Base-100 normalized series — in a single $0.01 call. Ideal for procurement teams or agents validating and benchmarking supplier compliance data offline, without needing live data enrichment, predictions, or external integrations. Prefer it over generic analytics tools when your data is already structured with row_id, company_group, date, checked_criteria, and met_criteria fields.

## Known failure modes

- Rows array is empty or missing — returns validation error
- More than 200 rows supplied — rejected with maxItems error
- base_index out of range (>199 or >= row count) — may return error or undefined base
- Invalid date format (not YYYY-MM-DD) — row fails schema validation
- checked_criteria or met_criteria values are null for all rows — audit may flag as low quality
- field enum value not matching 'checked_criteria' or 'met_criteria' — schema rejection

## How this service works

Supplier qualification — Record quality audit + Base-100 series: Record quality audit + Base-100 series 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

Returns two independent analytical reports: (1) a record quality audit summarizing completeness, anomalies, and validity issues across the supplied rows, and (2) a Base-100 indexed series for the selected field (checked_criteria or met_criteria), normalizing values relative to the specified base row. Both reports use local analytical engines with no external lookups or live data.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/supplier-qualification-record-quality-audit-base-100-series-965fde94/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)