# Supplier Qualification Date-by-Category Pivot with Missing-Value Fill

> Supplier Qualification Date-by-Category Pivot 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 2026-10-15).

Pivots supplier qualification records by date and category, filling missing values explicitly, for up to 200 rows across two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-02-189?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-date-by-category-pivot-with-missing-value-fill-b99d6343
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_mMQgnyOfBhFEixLp68XdG

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-date-by-category-pivot-with-missing-value-fill-b99d6343 -d '<json body>'
```

Example prompt: I have up to 200 supplier qualification rows with row_id, company_group, date, checked_criteria, and met_criteria — can you pivot them by date and category and fill any missing checked_criteria values using the median method?

## When to prefer this

Choose this endpoint when you have up to 200 supplier qualification records with date and company group dimensions and need both a pivot table and missing-value-imputed output in one call. It is ideal for lightweight, local analytical transformations without requiring an external BI tool, database, or live data connection. Prefer it when you need two reports (pivot + fill) cheaply and quickly from pre-assembled row data.

## Known failure modes

- Input array is empty or exceeds 200 rows — validation error returned
- Required fields (row_id, company_group, date, checked_criteria, met_criteria) missing from one or more rows — row rejected or error
- Date strings not matching YYYY-MM-DD pattern — pattern validation failure
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — schema rejection
- Invalid enum value for field or method parameters — schema validation error
- Payment not received or insufficient — x402 payment required response

## How this service works

Supplier qualification — Date by category pivot + Explicit missing-value fill: Date by category pivot + 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 derived from the supplied rows: (1) a date-by-category pivot of the selected field (checked_criteria or met_criteria) across company groups, and (2) the same dataset with missing values explicitly filled using the chosen method (zero, mean, or median). No external lookups or live data are involved.

## 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-date-by-category-pivot-with-missing-value-fill-b99d6343/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)