
Build prediction-market agents with market research, multiple paper modes, historical replay and supported live-venue integrations.
- Language Python
- Access CLI
Find your toolkit
Explore frameworks and tools for prediction-market agents, from retrieval and forecasts to optional execution.
Inspect model dependencies, source citations, spending limits and the boundary between research and order placement.

Build prediction-market agents with market research, multiple paper modes, historical replay and supported live-venue integrations.

Create or adapt automated DeFi strategies, including documented Polymarket endgame workflows, through an agent platform and developer tools.

Check an AI agent’s proposed market, outcome, price and size against the original instruction before allowing an on-chain transaction to settle.

Run a self-hosted conversational trading terminal with Polymarket discovery, strategy tools, messaging integrations and configurable account access.

Build scheduled market-scanning and execution rules visually or with AI, then manage their runs, exposure limits and logs.

Compare seven specialist agents’ forecasts, inspect their evidence and disagreement, and build a persistent record for a custom forecasting identity.

Integrate prediction-market execution, order-book matching and market-making infrastructure through a shared API and WebSocket layer.

Research markets and manage supported trading workflows through chat, with a coding assistant for alerts, scheduled tasks and custom scripts.

Give OpenClaw market discovery, wallet commands, position tracking and an LLM-assisted search for covering market pairs.

Run a managed crypto-market trading agent from Telegram, with account exposure limits, position monitoring and a subscription based on open-position value.

Use a token-gated sports-analysis terminal or participate in a separate automated directional vault with published fees and withdrawal timing.

Explore Polymarket’s open-source Python framework for combining market data, retrieved research, LLM prompts and agent execution.