Agentic Index

Arcade vs Toolhouse (2026)

These look similar in a search result and are not the same product. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.

Arcade is a layer: authenticated tool calling and an MCP runtime that hands your agent secure access to more than seven thousand integrations, and nothing above that. Toolhouse is a runtime that builds and runs whole agents from a prompt, with RAG and tools included and one link MCP connectivity, from free to 10 dollars a month. If you already have an agent, Arcade fills the auth gap; if you do not, Toolhouse gives you one.

This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Arcade and Toolhouse are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 969 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded

Choose Arcade if

  • You already have an agent and a framework, and secure tool access is the missing piece.
  • Integration breadth is the requirement and seven thousand is the number that matters.
  • You want the auth layer decoupled so it survives changing your agent framework later.

Choose Toolhouse if

  • You want an agent running today without assembling a stack to get there.
  • Built in RAG matters: Toolhouse documents full knowledge grounding where Arcade documents none.
  • Ten dollars a month with a free tier is the entire budget conversation.
At a glance Arcade Toolhouse
Category Agent infrastructure Agent infrastructure
Entry price From $25/mo · free tier Free (50 runs/mo) · Pro $10/mo (1,000 runs) · Enterprise custom
Free / trial Free tier: 100 user challenges, 1,000 standard tool executions, 50 pro tool executions per month, unlimited tools Free Sandbox tier: 50 agent runs/month, unlimited MCP calls, for public projects.
Pricing confidence public exact public exact
Feature
A
Arcade
T
Toolhouse
Action & orchestration

Integrations & Tool Calling

Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools.

Full / Explicit Full / Explicit

Workflow Orchestration

Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps.

Partial Partial

Triggers & Channel Coverage

How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools.

Partial Partial
Knowledge & context

Knowledge Grounding & RAG

Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers.

No / Not documented Full / Explicit

Memory & State Persistence

Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer.

No / Not documented Partial
Control & trust

Human Oversight & Guardrails

Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls.

Partial No / Not documented

Security, Identity & Governance

RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy.

Full / Explicit Partial

Observability & Auditability

Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior.

Partial Partial

Deployment & Data Residency

Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting.

Full / Explicit Partial
Solution readiness

Prebuilt Agents, Templates & Packs

Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value.

Full / Explicit Partial
Platform extensibility

Model Flexibility & Routing

Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys.

Partial Partial

APIs, SDKs & MCP Extensibility

Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems.

Full / Explicit Full / Explicit

Testing, Debugging & Optimization

Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment.

Partial Partial
Specialist automation

Browser & Computer Use

Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone.

No / Not documented No / Not documented

Pricing snapshot

Sourced from the Index pricing dataset · open each vendor's profile for full detail.

Pricing
A
Arcade
T
Toolhouse

Entry price

Lowest public entry point

From $25/mo · free tier Free (50 runs/mo) · Pro $10/mo (1,000 runs) · Enterprise custom

Pricing confidence

How public the numbers are

Public, exact Public, exact

Billing

Primary billing axis

Platform fee plus usage (user challenges and tool executions) Subscription tiers metered by agent runs per month (each run = 1 credit, includes default model LLM usage and unlimited MCP executions)

Variable cost

Workload / overage exposure

Medium variable cost Low variable cost

Free tier / trial

Try before you buy

Free tier
Free tier

Buying motion

Self-serve vs sales call

Mixed Self-serve

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