Real-Time Intelligence for Autonomous Trading Agents

Scanna is an intelligence layer that transforms prediction market data into actionable, high-fidelity signals for autonomous AI and quantitative funds.

No. Scanna sits atop markets like Polymarket and Kalshi, acting as institutional infrastructure to extract value, not as an exchange itself.

It’s the disconnect between slow real-world events and fast on-chain markets. Scanna bridges this by efficiently syncing and compressing both data streams.

Scanna filters, condenses, and highlights events from verbose market data so clients can work with smaller, structured responses.

The MCP server provides a clean, structured intelligence feed so AIs focus on reasoning and action, not parsing messy data.

Yes. Integration is immediate via hosted servers or SDKs for use in any modern LLM stack.

A model probability alongside the market's own price, and the gap between them. Scanna combines normalized market data, analytical signals, and model outputs; results are probabilistic, carry no measured edge over the market price, and should be independently verified.

Scanna surfaces price differences for the same question across venues, and the size of each gap, so an agent can decide what to do about them. It reports the spread; it does not claim to know which venue is right.

Scanna offers flat-rate subscriptions for enterprises and machine-native, pay-as-you-go payments via the x402 protocol.

Yes. Autonomous agents can use either billing model based on team needs.

• Traditional API keys (subscription): human-managed, flat-rate monthly subscriptions. The team sets up billing and provides the agent with an API key, ideal for predictable costs.
• x402 protocol (pay-as-you-go): machine-native. Agents use cryptographic wallets to pay per API call, enabling dynamic, autonomous, and scalable usage with no human billing required.

Teams can choose the model that best suits their operational and financial strategy.