# Vendor Evaluation String Normalisation and Numeric Row Ordering

> Vendor Evaluation String Normalisation and Numeric Row Ordering 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).

Normalises string fields and orders rows numerically for up to 200 vendor evaluation records containing supplied_score and maximum_score values, producing 2 analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-10-025?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/vendor-evaluation-string-normalisation-and-numeric-row-ordering-5f190959
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_7sWMWva15nh6R-KPEEtSm

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 vendor-evaluation-string-normalisation-and-numeric-row-ordering-5f190959 -d '<json body>'
```

Example prompt: I have 4 vendor evaluation records for group-a and group-b dated 2026-10-01 through 2026-10-04 with supplied_score values of 10, 20, 15, 30 and maximum_score values of 1, 2, 3, 4 — can you normalize the string fields and sort them by supplied_score, giving me 2 analytical reports?

## When to prefer this

Choose this endpoint when you have up to 200 vendor or supplier evaluation rows with numeric scores and need both string normalization and numeric ranking in a single low-cost call. It is ideal for procurement or vendor management workflows where you want structured analytical reports without any external data lookup or prediction. At $0.01 USDC for two reports, it is cost-effective for lightweight data cleaning and sorting tasks on structured tabular vendor data.

## Known failure modes

- More than 200 rows submitted — request rejected due to maxItems limit
- Missing required fields (row_id, supplied_score, or maximum_score) — validation error
- Invalid date format not matching YYYY-MM-DD pattern — schema validation failure
- Null numeric values in score fields may affect ordering output
- Invalid field enum value (must be 'supplied_score' or 'maximum_score') — rejected

## How this service works

Vendor evaluation — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied vendor evaluation records (supplied_score, maximum_score). 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 covering the submitted vendor evaluation rows: one applying string normalization to text fields (row_id, company_group, date) and one ordering rows numerically by the specified score field (supplied_score or maximum_score). Results are computed locally from the supplied data with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "company_group",
     "date",
     "supplied_score",
     "maximum_score"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "company_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "maximum_score": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "supplied_score": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "company_group": "group-a",
     "maximum_score": 1,
     "supplied_score": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "company_group": "group-b",
     "maximum_score": 2,
     "supplied_score": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "company_group": "group-a",
     "maximum_score": 3,
     "supplied_score": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "company_group": "group-b",
     "maximum_score": 4,
     "supplied_score": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "supplied_score",
    "maximum_score"
   ],
   "type": "string",
   "default": "supplied_score"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/vendor-evaluation-string-normalisation-and-numeric-row-ordering-5f190959/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)