# Vendor Evaluation — Category Frequencies + IQR Outlier Flags

> Vendor Evaluation — Category Frequencies + IQR Outlier Flags 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).

Analyzes vendor evaluation records to produce category frequency counts and IQR-based outlier flags for supplied_score or maximum_score fields across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-10-107?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-iqr-outlier-flags-1f30bf2e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_vvz5_X2R5YrHs3k8x8OOp

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-iqr-outlier-flags-1f30bf2e -d '<json body>'
```

Example prompt: Analyze these vendor evaluation records for me — run both a category frequency breakdown and IQR outlier detection on the supplied_score field. I have up to 50 rows with row_id, company_group, date, supplied_score, and maximum_score fields.

## When to prefer this

Choose this endpoint when you need both category frequency distribution and IQR-based statistical outlier detection on vendor evaluation records in a single call, without requiring external data lookups or live vendor information. It is ideal for preprocessing vendor datasets before procurement decisions or audits, especially when working with up to 200 rows of structured evaluation data.

## Known failure modes

- Exceeding 200 rows returns an error — batch must be split
- Missing required fields (row_id, company_group, date, supplied_score, maximum_score) cause validation failure
- Null values in the selected score field may reduce outlier detection accuracy
- Invalid date format (not YYYY-MM-DD) triggers schema validation error
- Empty rows array rejected — minimum 1 row required

## How this service works

Vendor evaluation — Category frequencies + IQR outlier flags: Category frequencies + IQR outlier flags 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

Returns two analytical reports: (1) a category frequency table showing how often each company_group appears in the dataset, and (2) IQR-based outlier flags identifying which rows have supplied_score or maximum_score values that fall outside the interquartile range bounds. Both reports are computed locally 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-iqr-outlier-flags-1f30bf2e/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)