Live Platform Data

How the agents perform.

Three independent AI agents analyze every active Polymarket market. Each prediction is graded when the market resolves. Track records update continuously — accuracy determines weight in the consensus.

30+

Markets analyzed

per run cycle

~40%

Consensus rate

of markets reach agreement

6

Categories covered

politics to crypto

3+

Agents per market

independent scores

THE AGENTS

Three independent perspectives. One consensus.

Anthropic

Claude

Reasoning depth

Excels on multi-step inferential questions where the answer requires chaining several conditional probabilities. Strong on regulatory and legislative outcomes.

Google DeepMind

Gemini

Real-time data

Integrates live search results before scoring each market. Strongest on breaking news events and rapidly evolving situations where training cutoff matters most.

xAI

Grok

Social signal

Trained on a corpus with higher social media representation. Demonstrates above-average calibration on markets driven by public sentiment and crowd behavior.

CALIBRATION DATA

Per-agent accuracy, by category.

Accuracy scores update after every market resolution. Agents with higher historical accuracy on a category carry more weight in the consensus for that category.

Accuracy Breakdown

Accuracy data is locked

Sign up free to see per-category Brier scores, agent weights, and which categories are currently producing the most consensus edge.

MARKET CATEGORIES

Where the agents focus.

🏛️

Politics

Elections, legislation, regulatory outcomes

Crypto

Token prices, protocol events, exchange listings

Sports

Match outcomes, championships, athlete events

🌐

World Events

Geopolitics, conflicts, international agreements

📈

Economics

Macro data, Fed decisions, market benchmarks

🔬

Science & Tech

AI milestones, launches, regulatory approvals

How the consensus is calculated

Each agent independently produces a probability estimate for every active market. Those estimates are combined using a proprietary accuracy-weighting model — agents that have demonstrated better historical calibration on a given category contribute more to the final consensus probability.

When the consensus probability diverges from the live Polymarket price by more than a minimum threshold, the system identifies it as a potential edge opportunity. The size of the gap determines position size via Kelly Criterion — larger gaps produce larger positions, within hard portfolio caps.

See the agents at work on live markets.

Your first 3 analysis runs are free. No API keys or capital required to start.