TrustedRouter vs xPrivo: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of TrustedRouter and xPrivo — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

TrustedRouter

Lore Hex Corp

Paid

OpenAI-compatible gateway to 600+ models across 90+ providers, routed through an attested enclave that logs no prompt or output content.

One OpenAI-Compatible Endpoint: Point an existing OpenAI SDK client at api.trustedrouter.com/v1 and reach 600+ models across 90+ providers and three clouds without rewriting call sites.
Attested No-Log Prompt Path: Requests cross a gateway running in a Trusted Execution Environment that publishes no prompt or output logs, with the image digest matchable to a public source commit before production traffic moves.
Routing Promise Aliases: Named models like trustedrouter/auto, /zdr, /e2e, /eu and /synth make failover, zero-retention, confidential compute, EU residency and multi-model answers explicit at request time.
Provider Failover and Regional Routing: Automatic rollover to healthy providers keeps one upstream outage from becoming an application outage, with region-constrained routes available.
Bring Your Own Key: BYOK preserves existing committed-spend discounts and enterprise rate limits while still gaining the attested prompt path and unified API.
Per-Model Published Pricing: Input, cached-input, output and provider-specific prices are listed per model, with a flat 5.5% markup and no monthly plan.
Agent-Ready Discovery: Agents can read llms.txt or connect through the provided MCP server instead of scraping documentation.
Open Source Codebase and SDKs: The gateway is fully open source with JS/TS, Python and Go clients, so privacy and attestation claims can be independently audited.

Regulated Data Processing: Running legal, medical or financial documents through LLMs where a no-retention, inspectable prompt path is a client requirement.
OpenRouter Migration: Moving an existing multi-model application to a cheaper gateway with one base_url change and no client rewrite.
Cost Optimization Across Models: Routing routine traffic to open models like Qwen, GLM, DeepSeek, Gemma, Kimi or MiniMax while keeping frontier models available for hard requests.
EU Data Residency: Constraining inference to European providers for workloads governed by EU rules.
Production Reliability Engineering: Using provider failover so a single vendor outage does not take down a customer-facing AI feature.
Enterprise Spend Consolidation: Unifying several provider contracts behind one API and one key while keeping negotiated BYOK discounts.

Freemium

Privacy-first, open-source anonymous AI chat assistant that can be used hosted or run locally with no tracking.

Anonymous Usage: Enables conversations without account creation so users can interact with the assistant without providing identity-linked information.
No Tracking & Data Protection: Designed to avoid telemetry and tracking, with a focus on keeping user inputs private and not logged by default.
Open-Source Codebase: Publicly available source code for inspection, modification, and self-hosting, enabling transparency and auditability.
Local / Self-Hosted Deployment: Ready-to-run locally so organizations or individuals can host their own instance and retain full control over data and infrastructure.
Hosted Web Option: Provides a hosted website instance for users who prefer not to self-host while maintaining core privacy promises.
Freemium Model with PRO Tier: Core functionality is free and open-source while a paid PRO subscription is available for users seeking premium or hosted conveniences.
Anonymous usage without account creation
Open-source codebase (can be inspected and self-hosted)
Option to run locally for enhanced privacy
Hosted web interface available for convenience
Privacy-first design with no tracking and data protection
Free core offering with optional paid PRO tier
No public API or integration details disclosed in provided content

Private Personal Assistant: Individuals who want conversational AI for personal research or drafting without creating accounts or exposing queries to third parties.
Self-Hosted Enterprise Chatbot: Teams that require an internal assistant but must keep all data on-premises or within a private cloud for compliance.
Journalist & Researcher Workflows: Professionals researching sensitive topics who need anonymity and assurance that queries are not tracked or logged.
Educational Deployments: Schools or instructors deploying chat assistants locally for classroom use where student data must remain private.
Open-Source Development & Customization: Developers who want to fork or extend a transparent chat assistant to integrate custom LLM backends or business logic.
Privacy-Focused Public Access: Operators offering a public chat endpoint that respects user anonymity and avoids collecting personal data.
Private one-on-one conversational assistant without account or tracking
Local/self-hosted deployments for sensitive or regulated data
Users seeking an open-source alternative to commercial chatbots
Developers or researchers wanting to run or inspect assistant code locally
Individuals or teams requiring a simple hosted chat option with privacy guarantees