Building an auditable VC research agent with the Perplexity Agent API and LangGraph

An investment memo, crucial for venture fund decision-making, traditionally requires extensive research and writing, but a new agent streamlines this process by generating a first draft in about ninety seconds with an API cost of approximately $0.40. This agent employs a two-stage process where four research nodes—each focused on team, financials, product, and market—operate concurrently to gather evidence, which a synthesizer then compiles into a memo. The resulting document includes sections like Snapshot, Team, Financials, Product, Market, Risks, and Thesis, with each claim grounded in primary sources to ensure reliability. The system runs on the Perplexity Agent API and utilizes LangGraph and LangSmith for orchestration and evaluation, with every node's output traceable back to its source, ensuring transparency and accountability. Analysts can customize the memo format and adjust the agent's parameters to fit their firm's needs, while the choice of search provider is determined by evaluating cost, latency, and search accuracy, which can be tailored using custom metrics.

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