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Cadenya

Cadenya

AI

A managed agent runtime that layers your tools, agents and objectives so teams can test agent behavior safely and iterate fast.

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Paid
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About Cadenya

Cadenya is a hosted agent runtime aimed at teams who want to ship agentic features without building and maintaining the orchestration layer themselves. You connect existing MCP servers, OpenAPI specs and endpoints through a single tool layer that agents can call, then define an agent, shape its abilities, and run objectives against it. The runtime is model-provider agnostic, so you can set a default model and run canary variations side by side to compare behaviors before promoting one. It handles the operational parts of an agent loop out of the box — context compaction, tool approvals, memory layers, webhook and SSE delivery of agent events, and embeddable widgets — and meters token usage live, with progressive tool discovery that keeps tool schemas out of the context window until an agent actually asks for them. Feedback and outcome scores on each objective are collected per variation so you can see how behaviors perform in production.

Screenshots

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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.

Use Cases

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.

Frequently asked questions about Cadenya

What is Cadenya?

A managed agent runtime that layers your tools, agents and objectives so teams can test agent behavior safely and iterate fast.

How does Cadenya work?

Cadenya works by combining 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. to help users with 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..

What are the main features of Cadenya?

Key features include 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..

Who is Cadenya for?

Cadenya is useful for anyone interested in 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..

How much does Cadenya cost?

Cadenya is a paid product. Check the official site for current pricing.

How do I get started with Cadenya?

Visit https://www.cadenya.com/ to sign up and explore Cadenya.

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