# Supplier Qualification — String Normalisation + Numeric Interval Filter

> Supplier Qualification — String Normalisation + Numeric Interval Filter is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).

Normalises company group strings and filters supplier qualification records by a numeric interval across checked_criteria or met_criteria fields, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-02-026?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/supplier-qualification-string-normalisation-numeric-interval-filter-07843fa5
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_OheC24wi4GWgKnTKPpHCA

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-numeric-interval-filter-07843fa5 -d '<json body>'
```

Example prompt: Can you run string normalisation on the company_group field and filter the checked_criteria between 5 and 50 for these supplier qualification rows: row-1 group-a 2026-10-01 checked_criteria=10 met_criteria=1, row-2 group-b 2026-10-02 checked_criteria=20 met_criteria=2, row-3 group-a 2026-10-03 checked_criteria=15 met_criteria=3?

## When to prefer this

Choose this endpoint when you have up to 200 supplier qualification records and need both string normalisation of company group labels and a numeric range filter on checked_criteria or met_criteria in a single low-cost call. It is ideal for lightweight, offline data-cleaning and qualification-threshold analysis without any need for live lookup, external enrichment, or predictive scoring. Prefer alternatives if you need more than 200 rows, require external data sources, or need computation types other than string normalisation and interval filtering.

## Known failure modes

- Fewer than 1 or more than 200 rows submitted — request rejected
- date fields not matching YYYY-MM-DD pattern — validation error
- numeric values outside ±1,000,000,000,000 range — schema rejection
- field enum not one of checked_criteria or met_criteria — invalid input error
- minimum greater than maximum — may produce empty filter result with no error
- null numeric values in the selected field — rows may be excluded from interval filter silently

## How this service works

Supplier qualification — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter 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 analytical reports: (1) a string normalisation report on the company_group field across the submitted rows, and (2) a numeric interval filter report showing which rows have the selected field (checked_criteria or met_criteria) within the specified minimum–maximum range. No external lookups or predictions are made; all analysis is performed locally on the supplied 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/supplier-qualification-string-normalisation-numeric-interval-filter-07843fa5/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)