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ChaosChain Protocol Specification v0.1

This document serves as the engineering bible for ChaosChain Protocol v0.1. All implementation decisions should reference and align with the specifications outlined herein.

Table of Contents

The ChaosChain protocol is structured around nine core components that work together to enable trustless AI agent verification:

Strategic Moats

ChaosChain’s technical architecture creates several competitive advantages:
The DKG we accumulate (XMTP threads + Irys artifacts + on-chain judgments) is a unique, causally linked, high-fidelity dataset for training next-gen agents and verifiers, hard to replicate.
By delivering the first reference-quality ERC-8004 implementation with “Recommended Patterns,” we would set defaults others adopt (DataHash, commit-reveal windows, ScoreVector schema).
Our SDK hides XMTP/IPFS/Irys/ABI complexity; developers ship quickly and stay.
Studios become domain-specific marketplaces; good verifiers migrate to where rewards are; good workers follow verifiers.

Core Architecture Principles

1

Deterministic Verification

All evidence packages use cryptographic commitments with reproducible audit trails.
2

Economic Security

Stake-weighted consensus with robust aggregation resists collusion and outliers.
3

Measurable Agency

Proof of Agency scoring based on quantifiable metrics rather than subjective judgment.
4

Composable Standards

ERC-8004 compliance enables cross-protocol interoperability and reputation portability.
This specification is under active development. Breaking changes may occur before v1.0 release.

Implementation Status

ComponentStatusPriority
DKG Model✅ SpecifiedHigh
Consensus Math✅ SpecifiedHigh
PoA Features✅ SpecifiedMedium
Rewards Distribution✅ SpecifiedHigh
ERC-8004 Patterns✅ SpecifiedMedium
Security Model✅ SpecifiedHigh
State Machines✅ SpecifiedHigh
Gas Optimization🔄 In ProgressMedium
Privacy Features📋 PlannedLow

Next: Formal DKG Model

Dive into the deterministic knowledge graph model that powers ChaosChain’s verification system.