# Vendor Evaluation — Equal-Width Histogram + Explicit Missing-Value Fill

> Vendor Evaluation — Equal-Width Histogram + Explicit Missing-Value Fill 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).

Generates an equal-width histogram and fills missing values in vendor evaluation score data (up to 200 rows) using a chosen fill method.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-10-175?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-equal-width-histogram-explicit-missing-value-fill-22a5569c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_U8mJgM5DVFsmiDq_Y3GUJ

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-equal-width-histogram-explicit-missing-value-fill-22a5569c -d '<json body>'
```

Example prompt: I have 150 vendor evaluation records with supplied_score and maximum_score fields — some scores are missing. Can you fill missing supplied_score values using the median and then generate a 10-bin equal-width histogram across those rows?

## When to prefer this

Choose this endpoint when you need both a frequency distribution (histogram) and missing-value imputation for vendor evaluation score data in a single call, without requiring any external data lookup or live prediction. Ideal for offline procurement analytics, data cleaning pipelines, or audit reports on datasets up to 200 rows where scores may be partially missing.

## Known failure modes

- More than 200 rows supplied — request exceeds row limit
- Invalid date format not matching YYYY-MM-DD pattern
- Missing required fields row_id, supplied_score, or maximum_score in any row
- bins value outside 1–30 range
- Score values outside allowed numeric range
- Empty rows array

## How this service works

Vendor evaluation — Equal-width histogram + Explicit missing-value fill: Equal-width histogram + Explicit missing-value fill 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 reports: (1) an equal-width histogram showing bin boundaries and row counts for the chosen score field, and (2) a dataset with missing values in the target field explicitly filled using the selected method (zero, mean, or median). Both reports are computed locally from the supplied rows.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "bins": {
   "type": "integer",
   "default": 5,
   "maximum": 30,
   "minimum": 1
  },
  "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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/vendor-evaluation-equal-width-histogram-explicit-missing-value-fill-22a5569c/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)