# Supplier Qualification Two-Measure Correlation with Missing-Value Fill

> Supplier Qualification Two-Measure Correlation 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 2026-11-02).

Computes correlation between checked_criteria and met_criteria for supplier qualification records and fills missing values using a chosen method (zero, mean, or median)

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-02-184?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/supplier-qualification-two-measure-correlation-with-missing-value-fill-22d86fa7
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_gZOWrVZ_EGBsV7MFjDA_2

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-two-measure-correlation-with-missing-value-fill-22d86fa7 -d '<json body>'
```

Example prompt: I have up to 200 rows of supplier qualification data with checked_criteria and met_criteria fields — can you run a two-measure correlation on them and fill any missing values using the median method?

## When to prefer this

Choose this endpoint when you have tabular supplier qualification records (up to 200 rows) with checked_criteria and met_criteria numeric fields and need both a correlation analysis and missing-value imputation in a single paid call. It is ideal for lightweight batch statistical analysis without requiring an external analytics platform, and suits procurement or compliance workflows where you want to assess how strongly criteria-checking predicts criteria-meeting while also cleaning incomplete data.

## Known failure modes

- Fewer than 1 row provided — validation error
- More than 200 rows submitted — exceeds limit error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, company_group, date) — schema error
- All values in a field are null — correlation computation may be undefined
- Numeric values outside allowed range (-1T to 1T) — validation rejection
- Invalid method enum value not in zero/mean/median — schema error

## How this service works

Supplier qualification — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + 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 independent analytical reports: (1) a correlation report showing the statistical relationship between checked_criteria and met_criteria across the supplied rows, and (2) a missing-value fill report showing how null values in the specified field were replaced using the chosen method (zero, mean, or median). Both reports are computed locally on up to 200 supplied rows with no external lookups.

## 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-two-measure-correlation-with-missing-value-fill-22d86fa7/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)