# Vendor Evaluation — Category Frequencies + Numeric Row Ordering

> Vendor Evaluation — Category Frequencies + 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 2026-10-23).

Computes category frequency counts and numeric row ordering for vendor evaluation records containing supplied_score and maximum_score fields, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-10-100?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/vendor-evaluation-category-frequencies-numeric-row-ordering-cbd69ba7
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ET0cu5W_LoRZi8_Mk6AcO

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-category-frequencies-numeric-row-ordering-cbd69ba7 -d '<json body>'
```

Example prompt: I have up to 200 vendor evaluation records with row IDs, company groups, dates, supplied scores, and maximum scores — can you run a category frequency count and numeric row ordering report on them using the supplied_score field?

## When to prefer this

Choose this endpoint when you need two specific analytical outputs — category frequency distribution and numeric row ordering — on vendor evaluation data with supplied and maximum score fields, without needing external data enrichment, predictions, or professional assessments. Ideal for batch processing up to 200 vendor records at low cost ($0.01 per call covering both reports).

## Known failure modes

- Missing required fields (row_id, company_group, date, supplied_score, maximum_score) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- Row arrays exceeding 200 items are rejected
- Null numeric values may affect ordering output
- Malformed JSON input returns a schema validation error
- Payment not provided or insufficient USDC causes 402 response

## How this service works

Vendor evaluation — Category frequencies + Numeric row ordering: Category frequencies + 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: (1) category frequency counts showing how often each company_group appears across the supplied rows, and (2) numeric row ordering ranking rows by the selected field (supplied_score or maximum_score). Results are derived entirely from the submitted 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-category-frequencies-numeric-row-ordering-cbd69ba7/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)