# Supplier Qualification Grouped Numeric Summary with Missing-Value Fill

> Supplier Qualification Grouped Numeric Summary with 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 2026-10-23).

Computes grouped numeric summaries and fills missing values for supplier qualification records (checked_criteria, met_criteria) across company groups, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-02-099?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/supplier-qualification-grouped-numeric-summary-with-missing-value-fill-539fadba
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_9TOMJORDSzfbc-S2-9JeH

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-grouped-numeric-summary-with-missing-value-fill-539fadba -d '<json body>'
```

Example prompt: Can you run a grouped numeric summary and fill missing values using median for the met_criteria field across these supplier qualification records grouped by company — I have about 80 rows with row_id, date, company_group, checked_criteria, and met_criteria?

## When to prefer this

Choose this endpoint when you have supplier qualification tabular data (up to 200 rows) and need both grouped descriptive statistics by company group and explicit imputation of missing numeric values in a single paid call. It is ideal for procurement analytics, vendor audits, or qualification reporting pipelines where you already have the data locally and need offline analytical summaries without any live lookup, prediction, or external data enrichment.

## Known failure modes

- Exceeds 200-row limit — request rejected
- Missing required fields (row_id, company_group, date, checked_criteria, met_criteria) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Invalid method enum value — rejected
- Invalid field enum value — rejected
- Empty rows array — rejected
- Numeric values outside allowed range — schema error

## How this service works

Supplier qualification — Grouped numeric summary + Explicit missing-value fill: Grouped numeric summary + 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

Two analytical reports: (1) a grouped numeric summary showing statistics (e.g. count, sum, mean, min, max) for the selected field broken down by company_group, and (2) the dataset with missing values explicitly filled using the chosen method (zero, mean, or median) for up to 200 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-grouped-numeric-summary-with-missing-value-fill-539fadba/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)