# Vendor Evaluation — Exact Row Deduplication + Explicit Missing-Value Fill

> Vendor Evaluation — Exact Row Deduplication + Explicit Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-28).

Deduplicates exact duplicate rows and fills missing values in vendor evaluation records containing supplied_score and maximum_score fields, producing two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-10-054?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-28
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/vendor-evaluation-exact-row-deduplication-explicit-missing-value-fill-bc1adc54
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_0XdcNf7nD3mzT1JgOfk8v

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-explicit-missing-value-fill-bc1adc54 -d '<json body>'
```

Example prompt: I have a list of vendor evaluation rows with supplied_score and maximum_score — can you deduplicate exact duplicate rows and fill any missing supplied_score values using the median, for up to 200 rows?

## When to prefer this

Choose this endpoint when you have vendor evaluation data with supplied_score and maximum_score fields and need both deduplication and missing-value imputation in a single call. It is purpose-built for vendor scoring datasets (up to 200 rows) and returns two distinct reports at a low flat cost. Prefer this over generic data cleaning tools when your data matches the vendor evaluation schema and you want deterministic, local processing with no external data dependencies.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, company_group, date, supplied_score, maximum_score) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Score values outside allowed numeric range — rejection
- Invalid fill method or field enum value — schema error

## How this service works

Vendor evaluation — Exact row deduplication + Explicit missing-value fill: Exact row deduplication + Explicit missing-value fill 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: one covering exact row deduplication results (identifying and removing fully duplicate rows) and one covering explicit missing-value fill results (replacing null supplied_score or maximum_score values using the chosen method: zero, mean, or median). Both reports are generated from the supplied data using local analytical engines 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/vendor-evaluation-exact-row-deduplication-explicit-missing-value-fill-bc1adc54/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)