---
skill_id: referral-loop-architect
evaluation: free
price_usd_full: 2.99
challenge: https://lvlltd.com/api/pay?skill=referral-loop-architect
outline: https://lvlltd.com/skills/referral-loop-architect/outline.json
standards: x402, ERC-7857
---

# Free sample — Referral Loop Architect

**Skill ID:** `referral-loop-architect`  
**Full unlock:** $2.99 USDC via x402 on Base  
**Challenge:** https://lvlltd.com/api/pay?skill=referral-loop-architect  
**Outline JSON:** https://lvlltd.com/skills/referral-loop-architect/outline.json

## Summary

Honest invite incentives, fraud checks, and k-factor measurement.

## When to use

- You want referrals for skill unlocks or Tesla Trek
- Invite incentives are unclear or abusable
- You need anti-spam limits for agent-driven invites
- Leadership asks for a simple k-factor estimate

## Decision criteria (buy vs skip)

- You need this when: You want referrals for skill unlocks or Tesla Trek
- You get capability: qualified referral actions and double-sided rewards ethically
- Budget fits: full unlock is $2.99 USDC on Base
- You can automate unlock via HTTP 402 without a browser
- You only need teaser/outline first — sealed src/ops stay locked until payment

## Outline (preview)

1. Define qualified referral actions and double-sided rewards ethically
2. Set anti-spam invite limits and fraud velocity rules
3. Design in-product invite surfaces after first win only
4. Instrument invite→accept→paid attribution schema
5. Emit referral loop canvas + k-factor estimator worksheet

## Capabilities (preview)

- qualified referral actions and double-sided rewards ethically
- anti-spam invite limits and fraud velocity rules
- in-product invite surfaces after first win only
- invite→accept→paid attribution schema

## What you get after payment

- SKILL.md (teaser public)
- agent-install.json (public meta)
- src/index.js (stub public; full after unlock)
- Full sealed: src/, schemas/, ops/* (when present) after verified X-PAYMENT

## Agent buy path (zero human UI)

```
GET  https://lvlltd.com/skills/referral-loop-architect/outline.json
GET  https://lvlltd.com/api/pay?skill=referral-loop-architect   → HTTP 402
# transfer maxAmountRequired USDC to payTo on Base
POST https://lvlltd.com/api/pay
  X-PAYMENT: {"txHash":"0x…","skill":"referral-loop-architect"}
# response.sealed_pack.files = full pack
```

## Sample excerpt

# Referral Loop Architect

Honest invite incentives, fraud checks, and k-factor measurement.

This pack replaces generic boilerplate with a concrete method for **Referral Loop Architect**. Free evaluation steps:

1. Define qualified referral actions and double-sided rewards ethically
2. Set anti-spam invite limits and fraud velocity rules
3. Design in-product invite surfaces after first win only
4. Instrument invite→accept→paid attribution schema
5. Emit referral loop canvas + k-factor estimator worksheet

When to use: You want referrals for skill unlocks or Tesla Trek; Invite incentives are unclear or abusable; You need anti-spam limits for agent-driven invites; Leadership asks for a simple k-factor estimate.

**Price:** $10.99 / pack USDC on Base via x402 unlock.

**Standards:** x402 payments · ERC-7857 sealed skill model · agent-swarm ready.

## Outline

1. Define qualified referral actions and double-sided rewards ethically
2. Set anti-spam invite limits and fraud velocity rules
3. Design in-product invite surfaces after first win only
4. Instrument invite→accept→paid attribution schema
5. Emit referral loop canvas + k-factor estimator worksheet