Receive a scored assessment of a trade idea including composite score, tier, and component breakdown to inform decision-making.
The agent takes a user's proposed trade idea, formats it into a POST request to the signal-evaluation endpoint, and submits it to the AlphaLabs engine. It then parses the response to extract the composite score, tier classification, and detailed component scores. The agent should verify that the API key is valid and that the user understands this is derived analytics, not financial advice, before presenting the results.
- Category: Data and analysis
- Effect: Read-only
- MCP servers: AlphaLabs Intelligence MCP (https://koskamo.com/explore/alphalabs-intelligence-mcp)
- Source: AlphaLabs Intelligence — derived market analytics for AI agents (https://api.pak-labs.com/)
- Source quote: "POST /v1/signal-evaluation $0.10/call POST your trade idea; the live AlphaLabs engine scores it: composite, tier, components, floors."
- Playbook page: https://koskamo.com/explore/use-cases/evaluate-trade-signal-viability
Prompt: Evaluate the following trade idea: [Insert Trade Idea Here]. Use the AlphaLabs Intelligence MCP to score this signal and provide the composite score, tier, and component breakdown.