# Supplier Qualification — Numeric Distribution + Explicit Missing-Value Fill

> Supplier Qualification — Numeric Distribution + 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).

Computes numeric distribution statistics and fills missing values (zero/mean/median) for supplier qualification fields (checked_criteria, met_criteria) across up to 200 rows, producing two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-02-085?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-numeric-distribution-explicit-missing-value-fill-d240febb
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_8SAQFVt9--1Qe55JN81wO

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-numeric-distribution-explicit-missing-value-fill-d240febb -d '<json body>'
```

Example prompt: I have 150 supplier qualification records with some null values in checked_criteria and met_criteria — can you analyze the numeric distribution of the met_criteria field and fill any missing values using the median method?

## When to prefer this

Choose this endpoint when you need lightweight, local statistical analysis of supplier qualification numeric fields — specifically distribution profiling and missing-value imputation — without needing live lookup, ML prediction, or external data enrichment. Ideal for pre-processing supplier data before ingestion into a pipeline, or for quick QA on small-to-medium datasets (up to 200 rows) at minimal cost ($0.01 USDC for 2 reports).

## Known failure modes

- Fewer than 1 row submitted — request rejected
- More than 200 rows submitted — exceeds maximum row limit
- Invalid date format (not YYYY-MM-DD) — validation error
- Field value outside allowed numeric range (±1,000,000,000,000) — schema error
- Unknown fill method specified outside zero/mean/median enum — rejected
- Missing required fields (row_id, company_group, date) — schema validation failure

## How this service works

Supplier qualification — Numeric distribution + Explicit missing-value fill: Numeric distribution + 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 two analytical reports: (1) a numeric distribution summary (e.g. min, max, mean, median, std dev, percentiles) for the selected field (checked_criteria or met_criteria), and (2) a version of the dataset with missing values explicitly filled using the chosen method (zero, mean, or median) — covering up to 200 supplier qualification 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-numeric-distribution-explicit-missing-value-fill-d240febb/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)