
Direct probability forecasting with community comparison, defined resolution criteria and scored records.
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Compare tools that help an agent retrieve information, investigate events or produce forecasts. Some also support execution; establish that scope before choosing a framework or assistant.
An assistant’s answer, a forecast and an order are different outputs. Read which capabilities the product documents and which services or models it depends on. Optional execution should be assessed separately from research usefulness.
Use MCP servers to compare assistant-facing data tools, forecasting resources for prediction methods and AI trading bots for documented action workflows. An explanation or confidence score needs supporting sources.

Direct probability forecasting with community comparison, defined resolution criteria and scored records.

Research markets conversationally, use supported order workflows and schedule wallet tasks with explicit access choices.

A conversational agent for market lookup, dollar/share sizing and position management across supported surfaces.

Usage-priced web and social retrieval for forecasting agents, documented through a Numinous integration case study.

AI forecast research with public reasoning, revision histories, resolved scorecards and paid API tools.

Request forecasts and market evidence from an agent while tracking separately metered API usage.

Embed bounded trade requests, recurring monitoring and integration assessments through typed agent services.

A Kalshi-first research assistant with backtests, scheduled alerts and Polymarket comparisons; users execute orders themselves.

Develop prediction-market rules with explicit costs, risk limits, historical replay and a paper stage.

A live AI forecasting benchmark with resolved-event scores, comparable-event standings and inspectable research traces.

Developer infrastructure for fetching external data, applying verifiable logic and delivering structured oracle results.

Install or create agent trading skills, start in simulation and inspect decisions under account-level limits.