tokenomics

The Open Runtime for AI Agents

Find the ghost tokens. Fix them. Survive compaction. Avoid context quality decay.

A free, open-source book that explains how crypto actually works. 15 chapters covering Bitcoin, Ethereum, Solana, DeFi, MEV, market structure, custody, stablecoins, governance, quantum resistance, and prediction markets.

Cut AI context cost without trusting the compressor. Every reduction is reversible, byte-exact recoverable, and carries an auditable receipt. Local-first, works through proxy, MCP, SDK, or agent wrapper.

Hands-on code, labs, and reference material by Omar Santos for building, securing, and operating AI agents in cybersecurity.

A curated list on AI token economics: what tokens cost, where they get wasted, and how to cut the bill. Tools, benchmarks, papers, and copy-paste configs for the token economy of LLMs and coding agents.

Open-source, local-first AI coding agent usage and cost dashboard for Claude Code, Codex, Cursor, OpenCode, Kiro, and Pi.

Elata Protocol is the smart contract suite for Elata's app ecosystem

Context window optimization for AI coding agents. Sandboxes tool output (98% reduction), persists session memory via SQLite + FTS5, and enforces routing across 17 platforms through MCP + hooks. Works with Claude Code, Gemini CLI, VS Code Copilot, OpenCode, Codex CLI.

CLI and AI agent skills for the Tokenomist crypto data API: token unlocks, vesting, emissions, allocations, fundraising, burns and buybacks.

AI-Powered Crypto Analysis Dashboard!

A deep technical article exploring how AI, feature engineering, and static smart-contract analysis uncover rugpull risks before humans detect them. Covers Solidity pattern mining, mint abuse detection, blacklist/fee manipulation signals, ML-inspired scoring models, and how to quantify ERC-20 token scam probability.

Toolkit based on cadCAD for performing automated routine tests and future predictions for a GEB deployment

This repository contains the Autonolas tokenomics part of the autonolas-v1 protocol.

A comprehensive guide to designing economically safe ERC-20 tokens using formal invariants and strict permission boundaries. Covers supply caps, fee ceilings, liquidity guarantees, transfer safety, oracle integrity, upgrade control, and economic threat modeling. Focused on real-world DeFi security and robust token design.

A deep research study introducing the concept of Economic DNA Repair for smart contracts, designing self-correcting tokenomics that detect anomalies, repair unstable parameters, rebalance incentives, and restore economic equilibrium. Explores adaptive rewards, automated governance, liquidity healing, and resilience in decentralized systems.

Use any AI model, locally or in the cloud, while tracking on-device token usage and collecting token telemetry data.

A deep technical exploration of how malicious smart-contract developers weaponize fee logic in ERC-20 tokens. Covers dynamic tax flipping, hidden sell traps, fee obfuscation, whitelist-based bypasses, liquidity-drain funnels, attack timelines, forensic analysis, mathematical modeling, and ML-powered detection strategies for tax abuse.

Agent-based economic and tokenomics simulation in Python with declarative scenarios, deterministic lineage, Monte Carlo runs, and reproducible artifacts.

A deep research study introducing the Gene Drift Hypothesis: a framework explaining how tokenomics mutate across market cycles. Analyzes evolutionary forces, selective pressures, behavioral traits, and economic genes that rise, fall, or mutate through bull/bear phases, shaping token species over time.