# Vendor Evaluation — IQR Outlier Flags + Secondary-Measure Weighted Mean

> Vendor Evaluation — IQR Outlier Flags + Secondary-Measure Weighted Mean 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).

Runs two statistical reports on vendor evaluation records: IQR-based outlier detection and secondary-measure weighted mean calculation, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-10-177?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-iqr-outlier-flags-secondary-measure-weighted-mean-28782e3a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_JZhypmVPEFxRkSqQfcDNx

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-iqr-outlier-flags-secondary-measure-weighted-mean-28782e3a -d '<json body>'
```

Example prompt: Can you run IQR outlier detection and a secondary-measure weighted mean on these vendor evaluation records — I have up to 50 rows with supplied_score and maximum_score fields, grouped by company, and I want both reports back from a single call?

## When to prefer this

Choose this endpoint when you need both IQR outlier detection and a weighted mean computed together on vendor evaluation data in a single call, without requiring any external data sources or live predictions. Ideal for offline batch scoring of up to 200 vendor records where you have supplied_score and maximum_score available and want statistical flagging plus a weighted summary in one low-cost operation.

## Known failure modes

- Fewer than 1 row submitted — minimum row count not met
- More than 200 rows submitted — exceeds maximum batch size
- Missing required fields (row_id, supplied_score, maximum_score) in any row
- Date field does not match YYYY-MM-DD pattern — validation error
- Null values in score fields may affect IQR and weighted mean calculations
- Invalid field enum value (must be 'supplied_score' or 'maximum_score')

## How this service works

Vendor evaluation — IQR outlier flags + Secondary-measure weighted mean: IQR outlier flags + Secondary-measure weighted mean 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 statistical reports delivered together: (1) IQR outlier flags indicating which rows fall outside the interquartile range for the selected field, and (2) a secondary-measure weighted mean computed using the supplied_score and maximum_score fields. Both reports are based purely on 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-iqr-outlier-flags-secondary-measure-weighted-mean-28782e3a/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)