Agentic Index

Arcade vs Stacklok (2026)

Arcade last verified ·Stacklok last verified

Both stand between agents and the tools they call. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.

Arcade is an authentication and authorization layer letting agents act on behalf of users against third party services without holding raw credentials. Stacklok is an enterprise MCP platform built on open source ToolHive, running, governing and securing MCP servers and agent skills in isolated containers, Kubernetes native and self hosted, from the Kubernetes co creators. Arcade solves who the agent is acting as, and Stacklok solves where the tool code runs and what it can touch.

On the Agentic Index agent infrastructure ranking, Arcade clears the bar and Stacklok does not. Arcade documents all five production contract capabilities in full; Stacklok does not document testing, debugging and optimization in full. 33 of the 186 vendors in the lane clear it. See the agent infrastructure ranking

This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Arcade and Stacklok 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 1,084 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded

Choose Arcade if

  • Agents acting on behalf of individual users without holding credentials is your problem.
  • Third party service authorization is the specific gap.
  • You want a focused auth layer rather than a platform to operate.

Choose Stacklok if

  • Each MCP server must run in its own isolated container.
  • Kubernetes native self hosting is your platform standard.
  • Governing which MCP servers may run at all is the control you need first.
Feature
A
Arcade
S
Stacklok
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.

Workflow Orchestration

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

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.

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.

Memory & State Persistence

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

Control & trust

Human Oversight & Guardrails

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

Security, Identity & Governance

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

Observability & Auditability

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

Deployment & Data Residency

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

Solution readiness

Prebuilt Agents, Templates & Packs

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

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.

APIs, SDKs & MCP Extensibility

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

Testing, Debugging & Optimization

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

Specialist automation

Browser & Computer Use

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

Pricing snapshot

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

Pricing
A
Arcade
S
Stacklok

Entry price

Lowest public entry point

Free tier · Team $25/mo + usage · Enterprise custom Open source ToolHive free; Stacklok Enterprise quoted through sales

Pricing confidence

How public the numbers are

Public, exact Contact only

Billing

Primary billing axis

Monthly platform fee plus usage: auth events and tool calls Annual Stacklok Enterprise subscription; open source core free

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 Sales call

Pricing verified

When this pricing was last checked

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