# Vendor Evaluation — Two-Measure Correlation + Date by Category Pivot

> Vendor Evaluation — Two-Measure Correlation + Date by Category Pivot 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 up to 200 vendor evaluation records by computing correlation between supplied_score and maximum_score, plus a date-by-category pivot summary.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-10-182?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-two-measure-correlation-date-by-category-pivot-55c074c8
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_B98FdZ2sxp6Bnz-U6GNpo

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-two-measure-correlation-date-by-category-pivot-55c074c8 -d '<json body>'
```

Example prompt: I have up to 200 vendor evaluation records with supplied_score and maximum_score fields — can you run a two-measure correlation between those scores and also pivot the data by date and company_group category so I can see both analyses at once?

## When to prefer this

Choose this endpoint when you need both a correlation analysis and a date-by-category pivot on vendor evaluation data in a single low-cost call. It is ideal for procurement analysts who want to assess the relationship between supplied and maximum scores while also exploring how scores distribute across vendor groups over time, without needing live data lookups or external enrichment.

## Known failure modes

- Submitting more than 200 rows returns an error — trim to the 200-row limit
- Missing required fields (row_id, company_group, date, supplied_score, maximum_score) cause validation failure
- Date values not matching YYYY-MM-DD format are rejected by schema validation
- Null numeric values for both measures in all rows may produce degenerate correlation output
- Sending fewer than 1 row triggers a minItems validation error

## How this service works

Vendor evaluation — Two-measure correlation + Date by category pivot: Two-measure correlation + Date by category pivot 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 two-measure correlation report quantifying the statistical relationship between supplied_score and maximum_score across submitted rows, and (2) a date-by-category pivot table summarizing scores grouped by date and company_group, all computed locally on the supplied data without any 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
  },
  "field": {
   "enum": [
    "supplied_score",
    "maximum_score"
   ],
   "type": "string",
   "default": "supplied_score"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/vendor-evaluation-two-measure-correlation-date-by-category-pivot-55c074c8/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)