# Vendor Evaluation — Exact Row Deduplication + IQR Outlier Flags

> Vendor Evaluation — Exact Row Deduplication + 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).

Deduplicates vendor evaluation records by exact row matching and flags statistical outliers using IQR analysis on supplied_score or maximum_score fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-10-049?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-exact-row-deduplication-iqr-outlier-flags-f69f0a16
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_QxBpE6LFOIqvd6rFwnmEG

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-exact-row-deduplication-iqr-outlier-flags-f69f0a16 -d '<json body>'
```

Example prompt: Can you deduplicate this vendor evaluation dataset and flag any IQR outliers in the supplied_score column? I have up to 150 rows with fields: row_id, company_group, date, supplied_score, and maximum_score.

## When to prefer this

Choose this endpoint when you need both exact row deduplication and IQR-based outlier detection on vendor evaluation records (supplied_score, maximum_score) in a single low-cost call. Ideal for batch data quality checks on datasets up to 200 rows before reporting or further analysis. Not suitable if you need live data lookup, predictions, external enrichment, or more than 200 rows processed at once.

## Known failure modes

- Input exceeds 200 rows — request rejected
- Missing required fields (row_id, date, supplied_score, maximum_score) causes validation error
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Too few rows to compute meaningful IQR statistics (e.g. 1-3 rows)
- Null values in selected numeric field may reduce IQR analysis coverage

## How this service works

Vendor evaluation — Exact row deduplication + IQR outlier flags: Exact row deduplication + 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 independent analytical reports: (1) an exact row deduplication report identifying and removing duplicate vendor evaluation records, and (2) an IQR outlier flagging report marking rows whose selected numeric field (supplied_score or maximum_score) falls outside the interquartile range bounds. Up to 200 input rows are supported per call.

## 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-exact-row-deduplication-iqr-outlier-flags-f69f0a16/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)