# Vendor Evaluation — Numeric Row Ordering + Daily Sum Series

> Vendor Evaluation — Numeric Row Ordering + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).

Computes numeric row ordering and daily sum time series for vendor evaluation records with supplied_score and maximum_score fields, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-10-114?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/vendor-evaluation-numeric-row-ordering-daily-sum-series-b7774780
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_8DNHM-tJ_E44ewy6nvAZg

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-numeric-row-ordering-daily-sum-series-b7774780 -d '<json body>'
```

Example prompt: I have 4 vendor evaluation records for group-a and group-b from October 2026 with supplied_score and maximum_score values — can you rank them numerically by supplied_score and also give me a daily sum series across those dates?

## When to prefer this

Use this endpoint when you need both a ranked ordering of vendor evaluation rows and a date-based aggregated sum series in a single API call at low cost ($0.01 USDC for both reports). It is ideal for procurement analytics pipelines, supplier scorecards, or audit workflows where you supply your own data and need fast local computation without any external lookups or live data dependencies. Prefer this over general BI tools when you want a lightweight, pay-per-use analytical step in an automated agent workflow.

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, date, supplied_score, maximum_score) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Null values in score fields may affect sum and ranking results
- Invalid field enum value (not supplied_score or maximum_score) — validation error

## How this service works

Vendor evaluation — Numeric row ordering + Daily sum series: Numeric row ordering + Daily sum 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

Two analytical reports: (1) a numeric row ordering that ranks each input row by the selected field (supplied_score or maximum_score), and (2) a daily sum series that aggregates the selected field by date across all rows. No external data is fetched; all computation is performed on the supplied input rows.

## 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-numeric-row-ordering-daily-sum-series-b7774780/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)