# Vendor Evaluation — Grouped Numeric Summary + Base-100 Series

> Vendor Evaluation — Grouped Numeric Summary + Base-100 Series 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 a grouped numeric summary and a Base-100 indexed time series from uploaded vendor evaluation score records (supplied_score, maximum_score), returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-10-092?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-base-100-series-c6496fb8
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_C-05Xzt-dhBQ14_cDwtSj

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-base-100-series-c6496fb8 -d '<json body>'
```

Example prompt: I have vendor evaluation records with supplied_score and maximum_score for two groups — group-a and group-b — across dates in October 2026. Can you give me a grouped numeric summary and a Base-100 series indexed from row 0, analyzing the supplied_score field, for all 4 rows?

## When to prefer this

Use this endpoint when you have tabular vendor evaluation data with supplied_score and maximum_score fields and need both a grouped statistical summary and a Base-100 normalized time series in a single low-cost call. Prefer it over general analytics tools when you want deterministic, no-external-lookup computation on up to 200 rows for $0.01 USDC, especially in procurement or vendor management workflows where group-level benchmarking and trend indexing are both required simultaneously.

## Known failure modes

- Fewer than 1 or more than 200 rows supplied — request rejected
- Missing required row fields (row_id, company_group, date, supplied_score, maximum_score) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- base_index out of range (>=number of rows) — index error
- All score values null for a group — summary may return nulls or empty stats
- Payment of 0.01 USDC not completed — 402 Payment Required response

## How this service works

Vendor evaluation — Grouped numeric summary + Base-100 series: Grouped numeric summary + Base-100 series 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 analytical reports: (1) a grouped numeric summary showing aggregated statistics (e.g. count, mean, min, max) for each company_group, and (2) a Base-100 indexed time series for the selected field relative to the specified base_index row. Both reports are computed locally from the supplied rows with no external data access.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/vendor-evaluation-grouped-numeric-summary-base-100-series-c6496fb8/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)