# Vendor Evaluation — Category Frequencies + Adjacent Row Changes

> Vendor Evaluation — Category Frequencies + Adjacent Row Changes 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 by computing category frequencies and adjacent row changes for supplied_score or maximum_score fields across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-10-104?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-adjacent-row-changes-0f309d00
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_1w8GhCIOZywhoLBt1RrxT

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-adjacent-row-changes-0f309d00 -d '<json body>'
```

Example prompt: Can you run a category frequency and adjacent row changes analysis on these vendor evaluation records using the supplied_score field? Here are the rows: row-1, group-a, 2026-10-01, score 10 of max 100; row-2, group-b, 2026-10-02, score 20 of max 100; row-3, group-a, 2026-10-03, score 15 of max 100.

## When to prefer this

Choose this endpoint when you need a quick, cheap ($0.01 USDC) dual-report analysis on vendor evaluation data — specifically category frequency counts and adjacent row score changes — without needing external data lookups, predictions, or professional assessments. Ideal for batch analysis of up to 200 vendor records where both frequency distribution and temporal score deltas are needed in one call.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, company_group, date, supplied_score, maximum_score) cause schema validation failure
- Invalid date format (not YYYY-MM-DD) is rejected
- Scores outside the allowed numeric range are rejected
- Empty rows array is not accepted (minItems: 1)

## How this service works

Vendor evaluation — Category frequencies + Adjacent row changes: Category frequencies + Adjacent row changes 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 category frequency report showing how often each score category appears across the submitted rows, and (2) an adjacent row changes report showing the difference between consecutive rows' score values, for the selected field (supplied_score or maximum_score). Both reports are computed locally from the supplied data 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-adjacent-row-changes-0f309d00/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)