# Supplier Qualification — Numeric Interval Filter + Two-Measure Correlation

> Supplier Qualification — Numeric Interval Filter + Two-Measure Correlation 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).

Filters supplier qualification rows by a numeric interval on a chosen field and computes a two-measure correlation between checked_criteria and met_criteria, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-02-131?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/supplier-qualification-numeric-interval-filter-two-measure-correlation-8a4aa7bb
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_3QoJtYYUiWGn2fKunnyWY

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-two-measure-correlation-8a4aa7bb -d '<json body>'
```

Example prompt: Filter my supplier qualification records where checked_criteria is between 5 and 50, then run a two-measure correlation report against met_criteria — I have about 80 rows across group-a and group-b from October 2026.

## When to prefer this

Choose this endpoint when you need both a numeric range filter and a two-measure correlation computed in a single paid call on supplier qualification data with checked_criteria and met_criteria fields. It is purpose-built for the supplier qualification domain and delivers two reports per $0.01 USDC call, making it cost-efficient for batch analytical workflows on up to 200 rows. Prefer it over generic statistics APIs when your data already uses the checked_criteria/met_criteria schema and you want correlation output without external model inference or predictions.

## Known failure modes

- Fewer than 1 row supplied — minItems violation returns validation error
- More than 200 rows supplied — maxItems violation returns validation error
- minimum greater than maximum — invalid interval returns error or empty filter result
- Non-numeric or null values in checked_criteria/met_criteria may reduce correlation sample size
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Missing required fields (row_id, company_group, date) cause row-level rejection

## How this service works

Supplier qualification — Numeric interval filter + Two-measure correlation: Numeric interval filter + Two-measure correlation 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 independent analytical reports covering: (1) rows filtered to the specified numeric interval on the chosen field, and (2) a Pearson or similar correlation computation between checked_criteria and met_criteria across the filtered dataset. Results are derived entirely 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",
     "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"
  },
  "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-two-measure-correlation-8a4aa7bb/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)