Polymarket Multi Source Estimatorv1.1.4

A solo quant or small trading firm runs this skill as a scheduled automaton every 5 minutes, scanning Polymarket markets and trading on LLM-detected mispricings. It combines free data sources (RSS, GDELT, FiveThirtyEight) with premium API keys to generate higher-conviction trade signals. Revenue comes from systematic edge capture on prediction market inefficiencies.

A sports analytics group uses the skill's Odds API and Kalshi/Manifold cross-platform price feeds to detect divergences between bookmaker consensus and prediction market prices on sports events. The LLM estimates true probabilities from aggregated sports context and triggers trades when divergence exceeds threshold. Useful for betting syndicates and DFS operators.

An investment firm or risk consultancy deploys the skill with GDELT, Congress.gov, and RSS feeds to track geopolitical events and legislation, then trades prediction markets as a hedge or alpha source. The estimator's context-enriched prompts help quantify risks that traditional models miss. Supports portfolio hedging for macro funds.

A developer or researcher uses the skill as a remixable template to experiment with multi-source LLM probability estimation, swapping the LLM endpoint (Ollama, vLLM) and adding custom data sources. They publish findings on LLM forecasting accuracy versus market prices. Valuable for academic study of AI-driven market efficiency.

A Discord/Telegram community operator customizes the skill to generate daily prediction market picks and alerts for their members, using the dry-run mode for signal generation and live mode for verified trades. The template architecture lets them integrate niche data sources relevant to their audience. Monetized via subscriptions or premium channels.

Charge traders and analysts a monthly subscription for access to the bot's signals, dashboard, and trade logs. The skill runs as a managed service with the provider handling API keys and infrastructure. Users get alerts or automated execution on their own accounts.

Run the skill on behalf of investors who fund a trading account, splitting profits from prediction market trades. The operator handles configuration, risk management, and reporting while clients provide capital. Requires transparency and possibly regulatory compliance depending on jurisdiction.

License the remixable skill template to fintechs, research firms, or betting operators who want to embed multi-source LLM estimation into their own products. Provide setup, customization, and support as a one-time fee plus maintenance contract.