# Supplier Qualification — Exact Row Deduplication + Explicit Missing-Value Fill

> Supplier Qualification — 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 2026-10-15).

Deduplicates exact rows and fills missing values in supplier qualification records (checked_criteria, met_criteria) for up to 200 rows, returning 2 analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-02-054?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/supplier-qualification-exact-row-deduplication-explicit-missing-value-46d9c877
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_EYwBFPfxe_Mn2GEH6djmx

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 supplier-qualification-exact-row-deduplication-explicit-missing-value-46d9c877 -d '<json body>'
```

Example prompt: Can you clean this supplier qualification dataset — remove any exact duplicate rows and fill missing checked_criteria values using the median method? I have about 50 rows with company_group, date, checked_criteria, and met_criteria fields.

## When to prefer this

Choose this endpoint when you have a tabular supplier qualification dataset (up to 200 rows) with potential exact duplicates and/or null numeric values in checked_criteria or met_criteria, and you need a fast, offline data cleaning step before downstream analysis. It is ideal for procurement pipelines that need deterministic deduplication and imputation without any external lookup, ML prediction, or live data access. Not suitable for fuzzy deduplication, large datasets over 200 rows, or enrichment from external supplier databases.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, company_group, date) on any row — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Invalid method enum value (not zero/mean/median) — rejected
- Invalid field enum value (not checked_criteria/met_criteria) — rejected
- Empty rows array — minItems violation

## How this service works

Supplier qualification — Exact row deduplication + Explicit missing-value fill: Exact row deduplication + Explicit missing-value fill for supplied supplier qualification records (checked_criteria, met_criteria). 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 2 independent reports covering: (1) exact row deduplication results showing which rows were removed as duplicates, and (2) a missing-value fill report showing which cells in checked_criteria or met_criteria were null and what values were imputed using the chosen method (zero, mean, or median). No external data is fetched; all analysis is performed on the supplied rows.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "company_group",
     "date",
     "checked_criteria",
     "met_criteria"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "met_criteria": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "company_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "checked_criteria": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "met_criteria": 1,
     "company_group": "group-a",
     "checked_criteria": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "met_criteria": 2,
     "company_group": "group-b",
     "checked_criteria": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "met_criteria": 3,
     "company_group": "group-a",
     "checked_criteria": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "met_criteria": 4,
     "company_group": "group-b",
     "checked_criteria": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "checked_criteria",
    "met_criteria"
   ],
   "type": "string",
   "default": "checked_criteria"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/supplier-qualification-exact-row-deduplication-explicit-missing-value-46d9c877/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)