# Supplier Qualification — Numeric Interval Filter + Explicit Missing-Value Fill

> Supplier Qualification — Numeric Interval Filter + 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 2026-10-15).

Filters supplier qualification records by a numeric interval on checked_criteria or met_criteria and fills missing values using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-02-135?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/supplier-qualification-numeric-interval-filter-explicit-missing-value-aec47bda
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_GMHvRJgpp5-lAkW9Fh5VD

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 supplier-qualification-numeric-interval-filter-explicit-missing-value-aec47bda -d '<json body>'
```

Example prompt: Filter our supplier qualification records so only rows where checked_criteria is between 0 and 100 are kept, fill any missing checked_criteria values using the median method, and give me the two analytical reports — here are the rows: row-1 group-a 2026-10-01 checked=10 met=1, row-2 group-b 2026-10-02 checked=20 met=2.

## When to prefer this

Choose this endpoint when you have raw supplier qualification data with nullable numeric fields (checked_criteria or met_criteria) and need both range filtering and missing-value imputation in a single call, returning two bundled analytical reports. It is ideal for pre-processing small-to-medium supplier datasets (up to 200 rows) offline without external dependencies or live lookups. Prefer it over generic analytics tools when you want a fixed-cost ($0.01 USDC per call) deterministic data cleaning step within a procurement or vendor management workflow.

## Known failure modes

- Input array is empty or exceeds 200 rows — rejected by schema validation
- Invalid date format (not YYYY-MM-DD) causes row-level rejection
- Minimum value greater than maximum value may produce empty filtered result set
- Field value specified is not one of the allowed enum values (checked_criteria, met_criteria)
- Method value not in allowed enum (zero, mean, median) causes validation error
- row_id missing or blank triggers required-field validation failure
- Numeric values outside ±1,000,000,000,000 bounds rejected

## How this service works

Supplier qualification — Numeric interval filter + Explicit missing-value fill: Numeric interval filter + Explicit missing-value fill for supplied supplier qualification records (checked_criteria, met_criteria). 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 generated from the supplied rows after applying the numeric interval filter (keeping rows where the selected field falls within [minimum, maximum]) and filling any null values in the target field using the chosen method (zero, mean, or median). Reports cover up to 200 input rows and are computed locally without external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "company_group",
     "date",
     "checked_criteria",
     "met_criteria"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "met_criteria": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "company_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "checked_criteria": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "met_criteria": 1,
     "company_group": "group-a",
     "checked_criteria": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "met_criteria": 2,
     "company_group": "group-b",
     "checked_criteria": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "met_criteria": 3,
     "company_group": "group-a",
     "checked_criteria": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "met_criteria": 4,
     "company_group": "group-b",
     "checked_criteria": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "checked_criteria",
    "met_criteria"
   ],
   "type": "string",
   "default": "checked_criteria"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/supplier-qualification-numeric-interval-filter-explicit-missing-value-aec47bda/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)