Kamon Index
Kamon Index is an identity and reputation API built for the Ninja API Forge.
Videos
Description
Kamon Index: Trust & Identity for Injective
Frontend for testing : https://kamon-client.vercel.app (debug disabled)
Overview
Kamon Index is a developer-first Trust Oracle that transforms raw Injective wallet activity and N1NJ4 signals into Sybil-resistant reputation scores. It helps dApps distinguish real users from bots via simple REST endpoints.
The Problem & Solution
The Problem: Injective projects struggle with fragmented on-chain data, bot spam, and the lack of a standardized wallet reputation system.
The Solution: A unified trust layer that analyzes wallet maturity, economic stake, activity, and governance participation to provide:
Trust Scores (0–100): Deterministic reputation rankings.
Risk Levels: LOW (65+), MEDIUM (35-64), and HIGH (<35).
Bot Probability: AI-driven intent classification.
Signed Attestations: Secure JWTs for on-chain/off-chain verification.
Key API Endpoints
Endpoint | Purpose | Key Data Returned |
| Full profile | Score, Risk Level, Bot %, Tags, JWT |
| Wallet A/B testing | Determines "Winner" based on activity/stake |
| Transparency | Raw signal breakdown (Developer Mode) |
| Status | API uptime check |
N1NJ4 Integration
Kamon Index uses N1NJ4 credentials as a primary identity anchor. Verified wallets receive:
Score Bonuses: Immediate boost to reputation.
Priority Access: Higher API rate limits.
Stronger Verification: Higher confidence for airdrops and voting.
Who It’s For
DAOs: Sybil-resistant voting and delegate reputation.
Social dApps: Anti-spam moderation and user ranking.
DeFi: Bot-filtering for incentives and copy-trading filters.
Developers: Plug-and-play infrastructure using Node.js, TypeScript, and Injective LCD.
Kamon Index replaces custom anti-sybil logic with a single, scalable API, turning raw blockchain data into actionable intelligence.
Progress During Hackathon
<h2>Hackathon Progress</h2><ul><li><p>Designed Kamon Index as a reusable trust & identity infrastructure layer for Injective</p></li><li><p>Researched Injective data sources and stabilized on LCD-based analytics</p></li><li><p>Built modular data collectors for wallet activity, balances, staking, and governance</p></li><li><p>Implemented explainable trust scoring engine (0–100) with risk classification</p></li><li><p>Integrated N1NJ4 identity signals into reputation model</p></li><li><p>Added JWT-based signed attestations for verifiable trust profiles</p></li><li><p>Developed wallet comparison endpoint for side-by-side reputation analysis</p></li><li><p>Implemented developer debug mode with gated access</p></li><li><p>Deployed backend to production environment (Render)</p></li><li><p>Built and deployed public demo frontend for judge testing</p></li><li><p>Wrote comprehensive technical documentation and API references</p></li><li><p>Performed end-to-end testing on real Injective wallets</p></li></ul>
Tech Stack
Fundraising Status
<p>NONE</p>