TruthLayer API - Bias-Correction Middleware for AI Applications
TruthLayer is a drop-in API that wraps any Large Language Model with multi-layered perspective correction. It acts as middleware between your application and the LLM, applying systematic bias detection and correction before responses reach your users. Reduce AI bias in production applications without changing your existing code.
How TruthLayer Works
TruthLayer intercepts LLM requests and applies a multi-stage correction pipeline: perspective weighting ensures no single viewpoint dominates, source diversification broadens the evidence base, vocabulary neutrality removes loaded language, and domain-specific profile adjustments calibrate corrections for your use case. The result is more balanced, fair, and comprehensive AI output.
7 Domain-Specific Correction Profiles
Standard Balance — Full multi-layered bias correction suitable for any AI application. Ensures balanced perspectives across topics.
Journalism & Media — Balanced reporting across the full political spectrum. Eliminates editorial lean and ensures diverse source representation.
Legal Analysis — Equal weight to prosecution and defense arguments. Balanced constitutional frameworks and jurisdictional perspectives.
Medical & Health — Patient autonomy emphasis, cost-consciousness, integrative perspectives alongside conventional medicine.
Education & Academic — Viewpoint diversity and intellectual pluralism. Presents multiple scholarly perspectives without ideological gatekeeping.
Policy Analysis — Genuinely balanced analysis across the political spectrum. Equal treatment of progressive, conservative, libertarian, and centrist viewpoints.
Corporate Communications — Neutral language that respects diverse stakeholder viewpoints. Avoids inadvertent bias in business communications.
Supported Models
TruthLayer supports all major LLM providers: OpenAI (GPT-4o, GPT-5), Google (Gemini 2.5 Flash, Gemini 2.5 Pro), Anthropic (Claude Sonnet 4, Claude Opus), xAI (Grok-2), and DeepSeek. Use the same API interface regardless of the underlying model.
Use Cases
News aggregation platforms seeking balanced coverage, educational technology requiring viewpoint diversity, legal research tools needing balanced analysis, healthcare applications requiring patient-centered perspectives, corporate communications platforms avoiding inadvertent bias, and any AI application where fairness and balance matter.
Pricing Overview
Free tier: 50K tokens/month. Creator: $29/month for 500K tokens. Professional: $99/month for 2M tokens. Business: $349/month for 10M tokens. All plans include all 7 correction profiles.