Arcade vs Cadenya

Detailed side-by-side comparison to help you choose the right tool

Arcade

πŸ”΄Developer

AI 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/month

Cadenya

πŸ”΄Developer

AI Agent Infrastructure

A hosted runtime for composing tools, agents, models, memory, objectives, and embeddable agent experiences.

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Starting Price

$20/month

Feature Comparison

Scroll horizontally to compare details.

FeatureArcadeCadenya
CategoryAI Agent InfrastructureAI Agent Infrastructure
Pricing Plans3 listed plans2 listed plans
Starting Price$0/month$20/month
Key Features
  • β€’ Chrome extension screen capture for instant demo recording
  • β€’ Hotspots, guided tooltips, and callout annotations
  • β€’ Embeddable demos with customizable player appearance
  • β€’ Hosted agent loops
  • β€’ Model and behavior variations
  • β€’ Unified tool layer

Arcade - Pros & Cons

Pros

  • βœ“Delegated per-user authorization limits an agent to the user and action scope instead of relying on a broadly privileged shared service account.
  • βœ“More than 8,000 permission-aware tools can remove substantial integration and OAuth work from an agent project.
  • βœ“Policies execute outside the language model, so a prompt cannot simply instruct the model to bypass an authorization rule.
  • βœ“Cloud, VPC, air-gapped, and hybrid deployment choices address more security requirements than cloud-only integration services.

Cons

  • βœ—Team pricing is usage-sensitive: every authentication event costs $0.10 and every tool call costs $0.01 after the $25 monthly platform fee.
  • βœ—The Free plan’s 2,000 monthly authentication events and 2,000 tool calls can be exhausted quickly in multi-user testing.
  • βœ—SSO, RBAC, private registries, and flexible deployment require a custom-priced Enterprise contract.
  • βœ—A centralized actions runtime becomes another production dependency whose latency, availability, and policy configuration require testing.

Cadenya - Pros & Cons

Pros

  • βœ“Published entry price and itemized usage rates support cost modeling
  • βœ“Connects MCP servers, OpenAPI specifications, and endpoints through one layer
  • βœ“Variations support controlled model and behavior experiments
  • βœ“Progressive discovery can keep unused tool schemas out of prompts

Cons

  • βœ—Billing spans loops, variations, memory entries, and widgets
  • βœ—Hosted execution creates portability and availability dependencies
  • βœ—Pro capabilities such as SSO have no public price
  • βœ—Retries, permissions, retention, and audit exports need validation

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