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Stock Analysis Agent with Corvic AI

This tutorial shows how to build a finance agent that gathers market data and produces grounded, explainable stock analysis on demand — every answer traceable back to its sources.

What You’ll Learn

  • Connecting live market data sources for an agent to reason over
  • Building a finance agent that gathers and analyzes stock data on demand
  • Producing grounded, explainable analysis with transparent reasoning
  • Reviewing the agent’s thought process and citations

How It Works

Gather Market Data

Connect the agent to market data so it can pull current prices, fundamentals, and related context when a question is asked.

Analyze On Demand

Ask the agent about a stock and it orchestrates the steps needed — retrieving data, running calculations, and synthesizing a response.

Explain the Answer

Every response includes a transparent reasoning chain and citations, so the analysis is grounded and auditable rather than a black box.

Live Data Connectors

Connect the agent to live market data.

Agents

Configure agents and inspect their reasoning.

API Secret Vault

Connect external market data APIs securely.

Spaces

Ground the agent in embeddings of your data.

Additional Resources