Unified tool layer
Connect MCP servers, OpenAPI specs, and existing endpoints without rewriting the underlying APIs.
Cadenya
Freemium
Cadenya is an agent runtime for developers building, testing, and improving AI agents on existing APIs. Connect tools, models, objectives, webhooks, feedback, and embeddable widgets in one platform.
What is Cadenya?
Cadenya is an agent runtime that layers tools, agents, and objectives over APIs a team already operates. Developers can connect MCP servers, OpenAPI specifications, and existing HTTP endpoints through a shared tool layer, then define agents and the objectives they should complete.
The platform is designed for iterative agent development. Teams can create agent variations, change model configurations, manage tool discovery, monitor token usage, inspect objective trails, and compare feedback on outcomes. Webhooks, server-sent events, approval events, and frontend Widgets connect agent activity to applications.
What can Cadenya do?
Agent variations and model testing
Create variations with different model configurations and compare how they perform against objectives.
Progressive tool discovery
Keep full tool schemas out of the initial context until an agent requests them, with controls for search limits, hints, and reranking.
Objective trails and feedback
Review tool calls, webhook deliveries, token usage, and user feedback associated with an objective.
Real-time event delivery
Send agent events to applications through webhooks and SSE, including assistant messages, tool results, approvals, sub-agent events, and timeouts.
Widgets and approval gates
Add agentic experiences such as conversations to an existing frontend and pause approval-gated tools until a person or system authorizes the call.
Use Cases
“API-based agent prototypes”
Developers can connect an existing service API, select a model, define an objective, and test an agent without first rebuilding queues, retries, or tool plumbing.
“Model and behavior evaluation”
Product or engineering teams can run multiple agent variations against objectives, then use outcome feedback and execution trails to compare approaches.
“Operational exception handling”
An agent can use connected operational tools, such as shipment or dispatch endpoints, to respond to exceptions, update information, and escalate cases where needed.
“Embedded agent experiences”
Teams can use Widgets to add agentic functions, including conversations, to a frontend rather than building the entire interaction layer themselves.
“Event-driven applications”
Applications that need immediate downstream reactions can consume webhook or SSE events from an agent’s execution loop.
Frequently Asked Questions
What is Cadenya?
Cadenya is an agent runtime that adds tools, agents, and objectives on top of APIs a developer already runs.
Do existing APIs need to be rewritten?
No. Cadenya says MCP servers, OpenAPI specs, and existing endpoints can be connected through its tool layer.
How does Cadenya report agent activity?
Objectives retain a trail that can include tool calls, webhook deliveries, token usage, and feedback. Webhooks and SSE can push events to connected applications.
Can a tool call require approval?
Yes. Approval-gated tools pause the agent and emit a tool_approval_requested event before the tool runs.
Does Cadenya provide model inference?
New accounts include introductory inference credits through a preconfigured OpenRouter setup. After those credits are used, the site says users must provide their own LLM provider credentials.
Quick Facts
- Category
- Developer Tool
- Product type
- Agent runtime
- Primary users
- Developers and product teams building AI agents
- Core workflow
- Connect APIs, define an agent, shape its abilities, and run objectives
- Real-time interfaces
- Webhooks and SSE
- Frontend capability
- Widgets for adding agentic features to frontends
Cadenya Traffic Analysis
Traffic data is for reference only.
- Domain Rating
- 1
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