AI Agent Governance - Policy-Based Sandboxing
Policy-Based Sandboxing: Define what your AI agent can and cannot do using declarative policies - Action Interception: Catch and validate agent action…
- OpenAI
Advanced Agents ·Intermediate
An investor-grade earnings call companion that turns any YouTube earnings call into a playback-synced analyst workspace. Paste a call URL, watch the video, and let ADK agents surface the numbers, tone shifts, filing context, and market-moving surprises that are easy to miss in a live call.
GOOGLE_API_KEYLicense Apache-2.0 · content curated and maintained by Doutor AI.
An investor-grade earnings call companion that turns any YouTube earnings call into a playback-synced analyst workspace. Paste a call URL, watch the video, and let ADK agents surface the numbers, tone shifts, filing context, and market-moving surprises that are easy to miss in a live call.
This is built for the real earnings workflow: instead of reading a transcript after the fact, you can follow management commentary with an agentic research layer that keeps every insight tied to the quote that triggered it.

This agent lives in advanced_ai_agents/single_agent_apps/earnings_call_analyst_agent.
git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
cd advanced_ai_agents/single_agent_apps/earnings_call_analyst_agent
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
cp .env.example .env
For Vertex AI / Google Cloud auth:
GOOGLE_GENAI_USE_VERTEXAI=True
GOOGLE_CLOUD_PROJECT=your-google-cloud-project-id
GOOGLE_CLOUD_LOCATION=global
For Gemini API key auth:
GOOGLE_GENAI_USE_VERTEXAI=False
GOOGLE_API_KEY=your-google-api-key
PYTHONPATH=.. python -m uvicorn earnings_call_analyst_agent.live_demo.server:app --host 127.0.0.1 --port 4188
http://127.0.0.1:4188
Paste a YouTube earnings call URL. The app builds the research pack first, then reveals analyst cards as the video reaches each quote.
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