A research-grade tool that analyzes Solidity smart contracts for economic vulnerabilities such as unbounded minting, toxic fee mechanisms, liquidity traps, oracle manipulation, centralized control, and broken financial invariants. Focused on economic correctness, incentive risks, and DeFi system stability.

A research-grade framework for forecasting tokenomic gene evolution across market cycles. Analyzes historical gene frequencies, models behavioral drift, and predicts future gene expression using interpretable trend and moving-average forecasting. Designed for tokenomics research, risk analysis, and evolutionary cryptoeconomics.

Installable Hermes Agent profile for a security-first blockchain architect specializing in smart contracts, Solidity, Solana, DeFi, audits, governance, and tokenomics.

This project envisions the hedge fund of the future (2030 and beyond) — one that is AI-powered, decentralized, and fully autonomous. It merges multi-agent reinforcement learning, blockchain governance, and explainable AI into a self-governing, investor-trustworthy platform for next-generation asset management.

Analyzes the security and potential risks of Ethereum tokens using the GoPlus Token Security API and Rug Pull Detection API

A curated list of tools, frameworks, models, and resources for tokenomics.

MCP server for Solana ICO management supporting multiple simultaneous ICOs with configurable bonding curves (fixed, linear, exponential, sigmoid, custom). Order management, sell fees, rate limiting, JSON-driven ICO creation.

Agent-based economic simulation with 50 autonomous agents, limited resources, income/expense dynamics, and configurable policies (taxes, elasticity, regeneration rates). Outputs Gini coefficient and bankruptcy analysis.

MCP server implementing basic DEX operations for ICO tokens on Solana. Order creation, cancellation, execution, and order book retrieval via exposed MCP tools.

HTML-rendered research publications with KaTeX math rendering. Covers quantum biology, bonding curve tokenomics, waifu AI, quantum computing, and decentralized economics.

Sovereign Map is a production-grade, Byzantine-tolerant Federated Learning framework. Utilizing the Mohawk Protocol for streaming aggregation, it achieves a 224x memory reduction, enabling secure orchestration of 100M+ nodes via TPM 2.0 hardware-rooted trust. Features full-stack observability with Prometheus & Grafana, built-in tokenomics telemetry

PRSM: Protocol for Recursive Scientific Modeling

chart vesting schedules for token, equities, or shares. Built using Python (pandas, matplotlib and numpy).

Council-ready simulator for the Symbolic Coherence Exchange Protocol (SCEP): issuance/burn dynamics, adversary modeling, amortized circuit breakers, seeded phase maps, and clean CSV exports.

Token airdrop strategy simulation framework. Models tiered/lottery/uniform distributions, dynamic vesting (price-triggered, activity-based, linear), user archetypes (HODLers, speculators), gas fees, and whale detection.

Agent-based tokenomics simulation with autonomous trading agents interacting through configurable bonding curves (linear, exponential, sigmoid, multi-segment). Random search parameter optimization for volatility minimization.

A Python-based analyzer that generates actionable insights into governance health and tokenomics for DeFi protocols like Compound, Uniswap, and Aave.

Production-hardened Python blockchain node: L1 core, P2P, REST/JSON-RPC, explorer, PoS-style consensus, ABS tokenomics, Rust bridge profile.

Tidal Protocol research. Python simulations and research artifacts for consumer DeFi lending protocols on the Flow network

AstroCrown ACS simulation engine & NOVA governance logic — pure-floor (LCR=1.00) with fee-aware execution triggers.