Cadenya vs Arcade
Detailed side-by-side comparison to help you choose the right tool
Cadenya
🔴DeveloperAI Agent Infrastructure
A hosted runtime for composing tools, agents, models, memory, objectives, and embeddable agent experiences.
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Starting Price
$20/monthArcade
🔴DeveloperAI Agent Infrastructure
An MCP-compatible actions runtime that lets AI agents securely authenticate users, call business tools, and enforce governance outside the model.
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Starting Price
$0/monthFeature Comparison
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Cadenya - Pros & Cons
Pros
- ✓Published entry price and itemized usage rates support cost modeling
- ✓Connects MCP servers, OpenAPI specifications, and endpoints through one layer
- ✓Variations support controlled model and behavior experiments
- ✓Progressive discovery can keep unused tool schemas out of prompts
Cons
- ✗Billing spans loops, variations, memory entries, and widgets
- ✗Hosted execution creates portability and availability dependencies
- ✗Pro capabilities such as SSO have no public price
- ✗Retries, permissions, retention, and audit exports need validation
Arcade - Pros & Cons
Pros
- ✓Delegated per-user authorization limits an agent to the user and action scope instead of relying on a broadly privileged shared service account.
- ✓More than 8,000 permission-aware tools can remove substantial integration and OAuth work from an agent project.
- ✓Policies execute outside the language model, so a prompt cannot simply instruct the model to bypass an authorization rule.
- ✓Cloud, VPC, air-gapped, and hybrid deployment choices address more security requirements than cloud-only integration services.
Cons
- ✗Team pricing is usage-sensitive: every authentication event costs $0.10 and every tool call costs $0.01 after the $25 monthly platform fee.
- ✗The Free plan’s 2,000 monthly authentication events and 2,000 tool calls can be exhausted quickly in multi-user testing.
- ✗SSO, RBAC, private registries, and flexible deployment require a custom-priced Enterprise contract.
- ✗A centralized actions runtime becomes another production dependency whose latency, availability, and policy configuration require testing.
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