# Supplier Qualification — String Normalisation + Base-100 Series

> Supplier Qualification — String Normalisation + 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 2026-11-02).

Normalises supplier qualification strings and computes Base-100 index series for checked_criteria and met_criteria fields across up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-02-030?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/supplier-qualification-string-normalisation-base-100-series-6f184722
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_aM1RO27QzxaqgByGYJ9QD

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-base-100-series-6f184722 -d '<json body>'
```

Example prompt: Can you run a Base-100 series and string normalisation on my supplier qualification records — I have 4 rows for group-a and group-b from October 2026, and I want to index on the checked_criteria field starting from row index 0?

## When to prefer this

Choose this endpoint when you need both string normalisation and a Base-100 index series on supplier qualification records (checked_criteria / met_criteria) in a single low-cost call. It is ideal for offline or batch analytical reporting on pre-collected supplier data where no live lookup, external enrichment, or professional assessment is needed. At $0.01 USDC for two reports covering up to 200 rows, it is cost-effective for routine procurement analytics pipelines.

## Known failure modes

- Fewer than 1 or more than 200 rows submitted — validation error
- Missing required fields (row_id, company_group, date, checked_criteria, met_criteria) — schema rejection
- Date field not matching YYYY-MM-DD pattern — format error
- base_index value out of range 0–199 — parameter error
- Numeric values outside allowed range (±1,000,000,000,000) — validation failure

## How this service works

Supplier qualification — String normalisation + Base-100 series: String normalisation + 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

Two analytical reports per call: (1) string-normalised versions of the supplied checked_criteria and met_criteria fields, and (2) a Base-100 index series for the selected field across all supplied rows, computed locally with no external lookups or predictions. Results cover up to 200 input 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/supplier-qualification-string-normalisation-base-100-series-6f184722/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)