# Vendor Evaluation — Daily Sum Series + Adjacent Row Changes

> Vendor Evaluation — Daily Sum Series + 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).

Computes two analytical reports on vendor evaluation data: a daily sum time series and adjacent row change detection, for up to 200 rows of supplied_score or maximum_score values.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-10-137?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-daily-sum-series-adjacent-row-changes-a978549f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_V9aKqt6aEeWekS2w_YjPZ

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-daily-sum-series-adjacent-row-changes-a978549f -d '<json body>'
```

Example prompt: Can you run daily sum series and adjacent row change reports on my vendor evaluation data? I have records for group-a and group-b from 2026-10-01 through 2026-10-04 with supplied_score values of 10, 20, 15, 30 and maximum_scores of 1, 2, 3, 4 — analyze the supplied_score field.

## When to prefer this

Choose this endpoint when you have structured vendor evaluation tabular data (up to 200 rows) and need both a time-aggregated daily sum and a row-by-row change detection report in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical workflows where no live external data, predictions, or professional assessments are needed — just pure local computation on your supplied records.

## Known failure modes

- Missing required fields (row_id, date, company_group, supplied_score, maximum_score) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- More than 200 rows submitted exceeds the maxItems limit and is rejected
- Null numeric values may affect aggregation totals if not handled
- Invalid field enum value (not supplied_score or maximum_score) causes rejection
- Empty rows array (minItems:1 violated) returns an error

## How this service works

Vendor evaluation — Daily sum series + Adjacent row changes: Daily sum series + 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

Two independent analytical reports: (1) a daily sum series aggregating the selected field (supplied_score or maximum_score) by date, and (2) an adjacent row change report showing value differences between consecutive records — all computed locally from the supplied data, with no external lookups or predictions.

## 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-daily-sum-series-adjacent-row-changes-a978549f/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)