Open-source examples
See where Gordon fits inside a real agent.
Curated GitHub projects with concrete recipes for adding governed service spend, per-agent budgets, approvals, and an audit trail.
Integration rule
Gordon governs paid agent actions. Projects keep their own strategy, runtime, market data, and execution logic.
Verified integrations are tested with Gordon. Supported projects show a compatible integration recipe.
Featured build
Running with Gordon today
Prediction Market Factory
Claude-hosted research and arbitrage agents that turn live Polymarket data into sourced probability notes and human-reviewed order tickets.
Research spend
VerifiedRun audit
VerifiedTrade approval
PlannedRepresentative output
24
markets
6
signals
3
tickets
Illustrative snapshot, not live telemetry.
Integration recipes
Other projects Gordon can govern
Polymarket Whale Watcher
AI-powered whale-trade surveillance with autonomous research and information-asymmetry scoring.
Sports Prediction Market Router
Aggregates live odds and liquidity across prediction markets and routes trades toward better execution.
Prediction Engine
A combined prediction-market oracle, paper-trading engine, and strategy backtesting toolkit.
Kalshi AI Trading Bot
A TypeScript Kalshi bot combining market data, weather forecasts, and model-assisted trade decisions.
Add Gordon to your project
Your bot, governed by Gordon.
Create an agent, add Gordon MCP to your Claude-hosted agent or Python/TypeScript code, set a spend policy, and you're auditable from day one.
→ One API key per agent — isolated spend and audit trail
→ Cap every paid call and every daily budget in the Console
→ Settlement receipts for successful paid x402 calls