# Vendor Evaluation — Exact Row Deduplication + Two-Measure Correlation

> Vendor Evaluation — Exact Row Deduplication + Two-Measure Correlation 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 rows and computes correlation between supplied_score and maximum_score across up to 200 records, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-10-050?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-two-measure-correlation-419397ca
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Pgj6lZ1UXT2Wq8qmQRlpG

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-two-measure-correlation-419397ca -d '<json body>'
```

Example prompt: I have vendor evaluation records for group-a and group-b from October 2026 — can you deduplicate the rows exactly and then compute the correlation between supplied_score and maximum_score across all of them? I have about 50 rows.

## When to prefer this

Choose this endpoint when you need to both clean vendor evaluation data by removing exact duplicate rows AND compute a two-measure correlation between supplied_score and maximum_score in a single low-cost call. It is ideal for procurement, audit, or vendor management workflows where data quality and metric alignment need to be verified together on datasets up to 200 rows. Prefer this over general-purpose statistics tools when you specifically work with the vendor evaluation schema (row_id, company_group, date, supplied_score, maximum_score).

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, supplied_score, maximum_score) causes rejection
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- All-null score columns may produce undefined correlation result
- Fewer than 2 unique rows after deduplication may prevent meaningful correlation computation
- Payment failure (x402) blocks the request before processing

## How this service works

Vendor evaluation — Exact row deduplication + Two-measure correlation: Exact row deduplication + Two-measure correlation 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 reports: (1) an exact row deduplication report showing which rows were duplicates and the cleaned dataset, and (2) a correlation report between supplied_score and maximum_score across all deduplicated records. No external lookups or predictions are included — all analysis runs on the submitted data locally.

## 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/vendor-evaluation-exact-row-deduplication-two-measure-correlation-419397ca/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)