# Supplier Qualification — String Normalisation + Category Frequencies

> Supplier Qualification — String Normalisation + Category Frequencies 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).

Analyzes up to 200 supplier qualification records to produce two local reports: string normalization of text fields and category frequency counts for checked_criteria and met_criteria.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-02-024?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-string-normalisation-category-frequencies-d4af1f6b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_-a_sqKaPgJHZZMvsPbCTX

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-string-normalisation-category-frequencies-d4af1f6b -d '<json body>'
```

Example prompt: Can you run string normalization and category frequency analysis on my supplier qualification records? I have 4 rows: row-1 for group-a on 2026-10-01 with 10 checked_criteria and 1 met, row-2 for group-b on 2026-10-02 with 20 checked and 2 met, row-3 for group-a on 2026-10-03 with 15 checked and 3 met, row-4 for group-b on 2026-10-04 with 30 checked and 4 met.

## When to prefer this

Choose this endpoint when you have up to 200 supplier qualification records and need fast, local string normalization combined with category frequency analysis in a single low-cost call ($0.01 USDC). It is ideal for procurement teams wanting batch analytical reports without any external data lookups, ML predictions, or professional assessments. Prefer it over generic analytics tools when your data fits the specific supplier qualification schema (checked_criteria, met_criteria, company_group, date).

## Known failure modes

- Submitting more than 200 rows returns an error — batch must be split
- Missing required fields (row_id, company_group, date, checked_criteria, met_criteria) cause validation failure
- Date values not matching YYYY-MM-DD pattern are rejected
- Numeric criteria values outside ±1,000,000,000,000 are rejected
- Empty rows array is not accepted (minItems: 1)
- Payment of 0.01 USDC must be provided via x402 protocol or request is rejected

## How this service works

Supplier qualification — String normalisation + Category frequencies: String normalisation + Category frequencies 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 per call: (1) a string normalization report covering text fields such as company_group across all submitted rows, and (2) a category frequency report showing how often each value range or category appears in checked_criteria and met_criteria. Results are derived entirely from the submitted data with no external lookups or predictions.

## 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/supplier-qualification-string-normalisation-category-frequencies-d4af1f6b/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)