Agentic Index

Arcade vs Paragon (2026)

Arcade last verified ·Paragon last verified

Both solve the problem of letting an agent act inside somebody else's software, and they solve different amounts of it. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.

Arcade is the focused authentication layer, with OAuth and token management across more than 8,000 permission aware tools, with an MCP runtime, from $25 a month on Team with a free tier. Paragon is the wider platform, hundreds of agent actions behind one API or MCP server, plus triggers, RAG sync and workflows. Choose Arcade if authenticated tool calling is the gap. Choose Paragon if you also need the data flowing back.

On the Agentic Index agent infrastructure ranking, Arcade clears the bar and Paragon does not. Arcade documents all five production contract capabilities in full; Paragon 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 Paragon 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

  • Auth is the actual problem, because you have tools and agents and token handling is what keeps breaking.
  • Integration count is what matters and seven thousand beats a curated hundred and thirty.
  • Self serve pricing from $25 a month with a free tier fits how you want to start.

Choose Paragon if

  • You need more than calling out, with triggers, RAG sync and workflow orchestration in the requirement.
  • Agents need permission aware RAG sync from the apps they act in.
  • You are embedding integrations into a product you ship to customers, which is what Paragon is built for.
Feature
A
Arcade
P
Paragon
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
P
Paragon

Entry price

Lowest public entry point

Free tier · Team $25/mo + usage · Enterprise custom Platform and Enterprise plans, priced by Connected Users; custom quote

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 Connected Users (customer tenants using integrations), with default usage built in per plan

Variable cost

Workload / overage exposure

Medium variable cost Medium variable cost

Free tier / trial

Try before you buy

Free tier
Free tierTrial

Buying motion

Self-serve vs sales call

Mixed Mixed

Pricing verified

When this pricing was last checked

Product updates

Newest first, each linked to its source.

Arcade

  • · MCP / tool calling / API

    Arcade now supports MCP Apps, so a tool can show an interactive interface inside the chat instead of a block of text.

    Source
  • · MCP / tool calling / API

    Tool Recommendation, new in Arcade, matches each task to the few tools an agent needs at that moment instead of loading Arcade's whole catalog of more than 8,000 tools into context.

    Source
  • · Integrations

    Arcade announced a new Snowflake toolkit that lets agents discover warehouses, databases, schemas, tables, and columns, then run queries using the requesting user's identity.

    Source

Paragon

  • · Deployment / data residency

    Paragon introduced Versioned Releases for its integration platform.

    Source
  • · Integrations

    Paragon launched Smart Rate Limits to manage and optimize API requests across its integration infrastructure.

    Source
  • · MCP / tool calling / API

    Paragon introduced its managed Model Context Protocol (MCP) server to connect AI products to over 130 third-party integrations.

    Source

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