Calibrated probabilistic foresight for AI agents, powered by live prediction-market signal.
Scored across 2 tools
The two tools have clearly distinct purposes: one for synthesizing a probability forecast from evidence, the other for discovering relevant markets. Their descriptions explicitly state when to use each, eliminating ambiguity.
Both tools follow the same 'polybridge_' prefix followed by a descriptive verb-noun pattern ('search' and 'forecast'), creating a predictable and consistent naming convention.
With only two tools, the set is minimal but appropriately scoped for discovery and forecasting. It could benefit from one or two additional tools (e.g., market detail lookup) but remains effective for its stated purpose.
The tools cover the core workflow of searching markets and generating forecasts, but lack direct access to individual market details or historical data, which would enhance completeness for a prediction market assistant.
Generate a read-only probability forecast for a clearly stated future event by searching relevant prediction markets and synthesizing evidence. Use when the user asks for a probability, outlook, or forecast; use polybridge_search when they only need market discovery. Does not place trades, provide financial advice, or access private/internal data.
Inputs: question (required), include_graph. Returns: error, metadata, question, reasoning, +9 more
Search public prediction markets for markets relevant to a natural-language topic or question. Use when you need candidate markets, market URLs, outcomes, statuses, and relevance scores. Do not use for a final probability forecast, market-history lookup, trading, or private/internal data. Scores are relevance scores, not probabilities.
Inputs: query (required), filters, dimensions, top_k_per_dimension. Returns: query, results, warnings, request_id, +2 more
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Calibrated world model for AI agents. 40 tools: world state, markets, trading. Kalshi + Polymarket.
Machine-payable prediction-market briefs and probability-change monitoring for AI agents.
Financial data for AI agents: crypto data, Polymarket odds, weather/oil calibration, trust scoring.
Live trading-pipeline intelligence for AI agents: signal scoring, calibration, recorded outcomes.
Add one secure layer between your agents and this server.
