# genpark-zero-interest-bnpl-instant-credit-scoring-skill

> genpark-zero-interest-bnpl-instant-credit-scoring-skill — alphaparkinc-genpark-zero-interest-bnpl-instant-credit-scoring-skill. Use this tool when you need to instantly underwrite and score customers for zero-interest Buy Now Pay Later (BNPL) transactions, solving fraud and credit risk assessment problems. It takes in customer data and returns instant credit scores, enabling swift and informed lending decisions. Ideal for e-commerce and fintech applications requiring real-time underwriting and fraud detection.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-zero-interest-bnpl-instant-credit-scoring-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-zero-interest-bnpl-instant-credit-scoring-skill

## Description

Zero-interest Buy Now Pay Later instant underwriting and fraud scoring engine (Addi style)

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/alphaparkinc/genpark-zero-interest-bnpl-instant-credit-scoring-skill)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "alphaparkinc-genpark-zero-interest-bnpl-instant-credit-scoring-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-zero-interest-bnpl-instant-credit-scoring-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-zero-interest-bnpl-instant-credit-scoring-skill/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt