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Specialized Market Data Aggregation with Firebender AI

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Linked challenge: Multimodal Prediction Market Agent

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Linked challenge

Multimodal Prediction Market Agent

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Integrate Firebender AI as a specialized agentic service to handle real-time, high-volume market data aggregation and preliminary pattern detection. Your Google ADK agent should delegate this complex task to Firebender AI via an API call, receiving a processed, summarized view of market dynamics. Describe the interface between your ADK agent and the Firebender AI service, focusing on input/output schemas.

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Linked challenge

Multimodal Prediction Market Agent

This challenge focuses on building a highly sophisticated agent for analyzing real-time prediction markets. Leveraging Google's Agent Development Kit (ADK) with its strong multimodal capabilities, developers will create an agent that aggregates diverse data sources—market data, news feeds, social media sentiment, and expert opinions—to forecast event outcomes and identify potential arbitrage opportunities. This goes beyond simple data analysis to synthesize complex information for strategic decision-making. The system will use Claude Opus 4.5 for nuanced textual analysis and advanced strategy generation, interpreting qualitative market signals. Grok 4 Heavy will be integrated for high-performance, real-time complex pattern recognition and scenario simulation, enabling rapid assessment of market dynamics. Firebender AI will serve as a specialized service, offering advanced market data aggregation and pattern recognition as a tool that the Google ADK agent orchestrates. The agent will interact with a simulated Prediction Market API to fetch real-time contract data and execute simulated trades. This challenge emphasizes multimodal data fusion, multi-LLM orchestration, and the integration of specialized agentic services to create a powerful, real-time market intelligence system capable of providing actionable insights to 'pro gamblers' and financial strategists.

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