# Supplier Qualification — Record Quality Audit + String Normalisation + Trailing Mean Series

> Supplier Qualification — Record Quality Audit + String Normalisation + Trailing Mean 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 three analytical reports on supplier qualification records: a record quality audit, string normalisation, and a trailing mean series calculation, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-02-199?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-string-normalisation-93a986f8
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_qhJdo3ivoYPfQVDKfgCQJ

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-string-normalisation-93a986f8 -d '<json body>'
```

Example prompt: Run a record quality audit, string normalisation, and trailing mean series with a window of 3 on my supplier qualification data — I have rows with company_group, date, checked_criteria, and met_criteria fields — and use checked_criteria as the numeric field for the mean series.

## When to prefer this

Choose this endpoint when you need to perform three types of offline analytics (quality audit, string normalisation, trailing mean) simultaneously on supplier qualification records in a single low-cost call, without needing live data lookup, prediction, or external integrations. Ideal for batch data hygiene and trend analysis on pre-collected supplier compliance datasets of up to 200 rows.

## Known failure modes

- Fewer than 1 or more than 200 rows submitted — request rejected
- Missing required fields (row_id, company_group, date, checked_criteria, met_criteria) in any row — validation error
- Date values not matching YYYY-MM-DD pattern — schema rejection
- Window value outside 2–200 range — validation error
- Numeric values outside allowed range (-1e12 to 1e12) — schema rejection
- Non-numeric or null values in selected numeric field may affect mean series output

## How this service works

Supplier qualification — Record quality audit + String normalisation + Trailing mean series: Record quality audit + String normalisation + Trailing mean series 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

Returns three independent reports derived from the supplied rows: (1) a record quality audit flagging completeness and formatting issues, (2) a string normalisation report cleaning company_group values, and (3) a trailing mean series for the selected numeric field (checked_criteria or met_criteria) over the specified window. No external data is fetched; all analysis is performed on the submitted 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/supplier-qualification-record-quality-audit-string-normalisation-93a986f8/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)