# Supplier Qualification Analytics — Category Frequencies + Numeric Interval Filter

> Supplier Qualification Analytics — Category Frequencies + Numeric Interval Filter 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).

Analyzes supplier qualification records by computing category-level frequency distributions and filtering numeric fields (checked_criteria, met_criteria) by a specified numeric interval, returning two local analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-02-101?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-analytics-category-frequencies-numeric-b0e27320
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_27UX8QULrw9CprDV4jVIa

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-analytics-category-frequencies-numeric-b0e27320 -d '<json body>'
```

Example prompt: I have 150 supplier qualification records with company_group, date, checked_criteria, and met_criteria columns — can you run a category frequency breakdown by company group and also filter the checked_criteria field to only show rows between 5 and 50, so I can see which groups dominate and how many fall in that range?

## When to prefer this

Choose this endpoint when you have up to 200 supplier qualification records and need both a categorical frequency breakdown by company group AND a numeric range filter on qualification criteria fields in a single call. It is ideal for procurement analytics, vendor audits, and compliance reviews where you supply your own data and need fast local computation without any external lookup or prediction. Prefer this over general-purpose analytics tools when you want a bundled two-report output at fixed low cost and your data fits the supplier qualification schema (row_id, company_group, date, checked_criteria, met_criteria).

## Known failure modes

- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds maximum limit
- Invalid date format (not YYYY-MM-DD) — schema validation error
- minimum greater than maximum — may return empty interval filter result
- Null values in checked_criteria or met_criteria — nulls may be excluded from numeric filter
- Missing required row fields (row_id, company_group, date) — request rejected
- Payment not included or insufficient — x402 payment required error

## How this service works

Supplier qualification — Category frequencies + Numeric interval filter: Category frequencies + Numeric interval filter 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

Returns two analytical reports: (1) a category frequency table showing how many qualification records exist per company_group value, and (2) a filtered dataset of rows where the selected numeric field (checked_criteria or met_criteria) falls within the specified minimum–maximum interval, with associated summary statistics. Both reports are computed locally from the supplied rows with no external data lookup.

## 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-analytics-category-frequencies-numeric-b0e27320/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)