# Supplier Qualification — Exact Row Deduplication + Category Frequencies

> Supplier Qualification — Exact Row Deduplication + Category Frequencies 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).

Deduplicates supplier qualification rows exactly and computes category-level frequency distributions for checked_criteria and met_criteria fields across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-02-041?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-exact-row-deduplication-category-frequencies-a13fc780
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_9pvTFLPWDLrRCayZnST3J

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-exact-row-deduplication-category-frequencies-a13fc780 -d '<json body>'
```

Example prompt: I have a list of up to 200 supplier qualification records with fields like company_group, date, checked_criteria, and met_criteria — can you deduplicate them exactly and give me a frequency breakdown by category for those criteria fields?

## When to prefer this

Choose this endpoint when you have up to 200 supplier qualification records and need both exact duplicate removal and category-level frequency analysis in a single $0.01 call. It is ideal for data cleaning and basic descriptive analytics on supplier qualification datasets without needing external data sources, predictions, or professional assessments. Prefer alternatives if you need fuzzy matching, more than 200 rows, or predictive scoring.

## Known failure modes

- Input array exceeds 200 rows — rejected with validation error
- Missing required fields (row_id, company_group, date, checked_criteria, met_criteria) — row-level validation failure
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — schema rejection
- Empty rows array — minItems:1 violation
- Payment not attached or insufficient USDC — x402 payment required error

## How this service works

Supplier qualification — Exact row deduplication + Category frequencies: Exact row deduplication + Category frequencies 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 deduplicated set of the input rows with duplicates identified and removed, and (2) a category frequency table showing how often each company_group, checked_criteria, and met_criteria value appears across the supplied records — all 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/supplier-qualification-exact-row-deduplication-category-frequencies-a13fc780/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)
