Cadenya vs TrustedRouter: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Cadenya and TrustedRouter — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Cadenya
Cadenya
A managed agent runtime that layers your tools, agents and objectives so teams can test agent behavior safely and iterate fast.
Key features
- Unified Tool Layer: Connect MCP servers, OpenAPI specs and existing endpoints once, and expose them to every agent through a single managed interface.
- Model-Agnostic Variations: Set a default model and run canary variations on other providers side by side to compare behaviors before promoting a change.
- Progressive Tool Discovery: Tool schemas stay out of the context window until an agent asks for them, with configurable max tools per search, search hints and a rerank threshold, so every request gets smaller.
- Live Token Metering: Track cost as it accrues across loops, active variations, memory entries and widgets, so usage is visible rather than discovered on the invoice.
- Webhooks and SSE Streaming: Push agent events — assistant messages, tool results, approval requests, sub-agent spawns, compaction, timeouts — into your own apps in real time.
- Memory Layers: Attach stored documents such as playbooks and policy sets to an agent so its guidance persists across objectives.
- Outcome Feedback Scoring: Collect scored comments on each objective, attributed to the variation and model that produced it, to see which behaviors actually work.
- Embeddable Widgets: Drop an agent experience into any frontend as a widget rather than building the conversational surface yourself.
Best for
- Operational Exception Handling: Run an agent that detects stalled shipments or orders and reroutes them through your dispatch API within policy.
- Safe Model Migration: Evaluate a new frontier model as a canary variation against live objectives before switching the default.
- Wrapping Existing APIs: Turn internal OpenAPI endpoints into agent-callable tools without rewriting the services behind them.
- Embedding Agent Chat in a Product: Ship a conversational agent surface into an existing frontend using widgets instead of building it in-house.
- Cost Control at Scale: Use progressive discovery and live metering to keep context size and per-loop cost down as agent traffic grows.
- Agent Quality Review: Compare scored feedback across variations to understand which prompt or model changes improved real outcomes.
TrustedRouter
Lore Hex Corp
OpenAI-compatible gateway to 600+ models across 90+ providers, routed through an attested enclave that logs no prompt or output content.
Key features
- 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.
Best for
- 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.