# Supplier Qualification — Record Quality Audit + Adjacent Row Changes

> Supplier Qualification — Record Quality Audit + Adjacent Row Changes 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 supplier qualification rows: a record quality audit and adjacent row change detection for checked_criteria or met_criteria fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-02-011?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-adjacent-row-changes-1b1e5600
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_gXx3pxxPk5Mrujh08UgTp

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-adjacent-row-changes-1b1e5600 -d '<json body>'
```

Example prompt: Can you run a record quality audit and adjacent row change report on these supplier qualification rows — I have checked_criteria and met_criteria values across group-a and group-b from October 2026, up to 50 rows — and use checked_criteria as the field to analyze?

## When to prefer this

Choose this endpoint when you need fast, offline-style analytical reports on batches of supplier qualification records (up to 200 rows) without requiring external data enrichment, live lookups, or professional assessment. Ideal for procurement teams that want to validate data quality and spot row-to-row changes in checked_criteria or met_criteria before further processing. Prefer alternatives if you need real-time supplier data, predictive scoring, or more than 200 rows processed at once.

## Known failure modes

- Submitting more than 200 rows returns a validation error
- Missing required row fields (row_id, company_group, date, checked_criteria, met_criteria) cause schema validation failure
- Invalid date format (non YYYY-MM-DD) triggers pattern validation error
- Null values in the selected numeric field may limit change-detection accuracy
- Empty rows array returns an error due to minItems:1 constraint

## How this service works

Supplier qualification — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes 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 independent analytical reports: (1) a record quality audit covering completeness, validity, and consistency of the supplied qualification rows; (2) an adjacent row changes report showing delta values between consecutive rows for the selected field (checked_criteria or met_criteria). Results are computed locally with no external lookups. Up to 200 rows processed per call.

## 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-adjacent-row-changes-1b1e5600/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)