# Vendor Evaluation — Grouped Numeric Summary + Date by Category Pivot

> Vendor Evaluation — Grouped Numeric Summary + 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 two analytical reports over vendor evaluation rows: a grouped numeric summary and a date-by-category pivot for supplied_score and maximum_score fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-10-097?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-grouped-numeric-summary-date-by-category-pivot-0c8c55c8
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_3TwrCV_TZ317ODeEOZ9ne

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-grouped-numeric-summary-date-by-category-pivot-0c8c55c8 -d '<json body>'
```

Example prompt: Can you run both a grouped numeric summary and a date-by-category pivot on these vendor evaluation records — I have up to 50 rows with row_id, company_group, date, supplied_score, and maximum_score fields — and use supplied_score as the main field to analyze?

## When to prefer this

Choose this endpoint when you have vendor evaluation data with numeric scores and want two complementary analytical views — a grouped aggregate summary and a date-by-category pivot — in a single paid call. It is best suited for batch analytics on up to 200 pre-collected rows without needing live lookups, external data enrichment, or predictive modeling. Prefer it over general-purpose analytics tools when you want a lightweight, cost-effective ($0.01 USDC for both reports) local computation over your own supplied data.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected
- Missing required row fields (row_id, company_group, date, supplied_score, maximum_score) cause validation errors
- Date values not matching YYYY-MM-DD pattern will fail schema validation
- Null numeric values may affect aggregate calculations
- Providing zero rows (empty array) violates minItems:1 constraint

## How this service works

Vendor evaluation — Grouped numeric summary + Date by category pivot: Grouped numeric summary + 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 analytical reports derived from the supplied vendor evaluation rows: (1) a grouped numeric summary showing aggregate statistics (e.g. count, sum, mean, min, max) for supplied_score or maximum_score broken down by company_group, and (2) a date-by-category pivot table showing how the chosen numeric field distributes across date and company_group combinations. Up to 200 rows processed per call.

## 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-grouped-numeric-summary-date-by-category-pivot-0c8c55c8/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)