# Vendor Evaluation — Category Frequencies + Two-Measure Correlation

> Vendor Evaluation — Category Frequencies + Two-Measure Correlation 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).

Analyzes vendor evaluation records to produce category frequency counts and a Pearson/Spearman correlation between supplied_score and maximum_score, returning two independent statistical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-10-108?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/vendor-evaluation-category-frequencies-two-measure-correlation-523d57e9
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_IXKMYc62KPhuzOFlLRSkA

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 vendor-evaluation-category-frequencies-two-measure-correlation-523d57e9 -d '<json body>'
```

Example prompt: I have 150 vendor evaluation records with company groups, dates, supplied scores, and maximum scores — can you run a category frequency breakdown and a correlation analysis between the two score fields and give me both reports?

## When to prefer this

Choose this endpoint when you have vendor evaluation tabular data with categorical groupings and two numeric score measures, and you need both a frequency distribution by category and a correlation statistic between the two measures in a single low-cost call. Prefer it over general-purpose analytics tools when you want a bundled, pay-per-use statistical micro-service with no infrastructure setup, handling up to 200 rows at $0.01 per call.

## Known failure modes

- Fewer than 1 row or more than 200 rows submitted — rejected with validation error
- Missing required fields (row_id, company_group, date, supplied_score, maximum_score) on any row — error returned
- Date strings not matching YYYY-MM-DD format — pattern validation failure
- Null values in both score columns for all rows may degrade or invalidate correlation computation
- Payment of 0.01 USDC not completed — 402 Payment Required response

## How this service works

Vendor evaluation — Category frequencies + Two-measure correlation: Category frequencies + Two-measure correlation for supplied vendor evaluation records (supplied_score, maximum_score). 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 category frequency table showing how often each company_group value appears in the input rows, and (2) a two-measure correlation report quantifying the statistical relationship between supplied_score and maximum_score across all provided rows. Both reports are computed locally with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/vendor-evaluation-category-frequencies-two-measure-correlation-523d57e9/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)
