TruthStack FAQs

Question 1

What types of interaction data does TruthStack provide?

Accepted Answer

TruthStack delivers comprehensive data including risk levels (Critical, High, Moderate, Low), FAERS adverse event signals, CYP pathway conflicts, detailed compound profiles, human-readable explanations of interaction mechanisms, and raw evidence for provenance.

Question 2

Can TruthStack handle misspelled supplement names or brand names?

Accepted Answer

Yes, TruthStack features fuzzy search capabilities for over 584 compound aliases, allowing it to accurately identify supplements even with misspellings, abbreviations, or common brand names like 'KSM-66' or 'mag gly'.

Question 3

How does TruthStack improve AI agent reliability for health advice?

Accepted Answer

Instead of relying on LLM training data, TruthStack supplies AI agents with real-time, cited risk assessments from sources like FDA FAERS, drug labels, and research. This ensures deterministic, verifiable safety information on supplement-medication interactions.

Question 4

How can developers integrate TruthStack into their AI applications?

Accepted Answer

TruthStack integrates seamlessly via the Model Context Protocol (MCP) for AI frameworks like Claude Desktop, offers a Python SDK for LangChain, and provides a direct REST API for custom integrations, making it flexible for various AI agent architectures.

Question 5

What is TruthStack?

Accepted Answer

TruthStack is a specialized tool that provides AI agents with structured, evidence-based intelligence on supplement-drug interactions. It offers deterministic risk assessments to prevent AI hallucinations and ensure accurate health advice.

TruthStack

TruthStack

主要功能

使用案例

主要功能

使用案例