# Vendor Evaluation — Category Frequencies + Date by Category Pivot

> Vendor Evaluation — Category Frequencies + 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).

Computes category frequency counts and a date-by-category pivot table for vendor evaluation records with supplied_score and maximum_score fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-10-110?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-date-by-category-pivot-0cea4b0d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_2rtYroit6Wael6U7wp-a0

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-date-by-category-pivot-0cea4b0d -d '<json body>'
```

Example prompt: Can you analyze my vendor evaluation data and give me two reports — one showing how often each company group appears (category frequencies) and one pivoting scores by date and company group? Here are up to 200 rows with row_id, company_group, date, supplied_score, and maximum_score fields, and I want to analyze the supplied_score column.

## When to prefer this

Choose this endpoint when you need two quick analytical reports — category frequency counts and a date-by-category pivot — on vendor evaluation data with scored records, without requiring any external data enrichment, predictions, or professional assessments. It is ideal for procurement analysts wanting fast, local computation on up to 200 rows at very low cost ($0.01 USDC for both reports).

## Known failure modes

- Missing required fields (row_id, company_group, date, supplied_score, maximum_score) cause validation errors
- Date fields not matching YYYY-MM-DD pattern are rejected
- Exceeding 200 rows results in rejection
- Null or out-of-range numeric values may affect aggregation outputs
- Empty rows array is not accepted (minItems: 1)

## How this service works

Vendor evaluation — Category frequencies + Date by category pivot: Category frequencies + 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

Two independent analytical reports: (1) a category frequency table showing how many records exist per company_group, and (2) a date-by-category pivot table showing the specified numeric field (supplied_score or maximum_score) broken down by date and company_group. Both reports are computed locally from the 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",
     "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-category-frequencies-date-by-category-pivot-0cea4b0d/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)