Arcade.dev vs Unified.to: which integration platform powers AI-driven SaaS better?
June 15, 2025
Updated March 2026
Arcade.dev and Unified.to serve different roles in AI integration architecture. Arcade.dev enables agents to perform actions across tools, while Unified.to provides real-time access to structured data across integrations, designed for applications that require consistent schemas and data pipelines.
Arcade.dev is designed for AI agents that execute actions across integrations. This comparison explains how Arcade.dev and Unified.to differ in data delivery, schema design, and how each platform fits into production systems.
TL;DR
- Arcade.dev is designed for AI agents that perform actions (e.g. send email, create events)
- Unified.to is designed for SaaS products that need real-time, structured data across integrations
- Arcade uses per-tool actions with no shared schema
- Unified provides normalized objects (e.g. Contact, Job, Invoice) across 415+ integrations
- Arcade is best for copilots and assistants
- Unified is best for AI features, data pipelines, and product integrations at scale
When to choose Arcade.dev vs Unified.to
Choose Arcade.dev if:
- You are building AI agents or copilots that perform actions
- Your workflows depend on tool execution (e.g. send email, create event)
- You want prebuilt action interfaces for LLM tool-calling
Choose Unified.to if:
- Your product depends on structured data across SaaS systems
- You need real-time updates delivered from source APIs
- You are building AI features that rely on consistent, normalized data
- You want to persist and query integration data in your own infrastructure
How does Arcade.dev compare to Unified.to?
Arcade.dev focuses on tool-calling for AI agents. Unified.to powers live data pipelines and structured integrations across your SaaS product.
Unified.to gives you:
- Real-time updates from 415+ integrations
- Unified schemas with passthrough support
- Database-ready delivery for AI pipelines and dashboards
- Zero data stored—tokens, payloads, or logs
- Developer-first SDKs and auth components
Here's how the two platforms compare, especially if you're building real-time AI features or integrations at scale.
Streaming vs single-use calls
Arcade.dev performs on-demand API calls when an agent executes an action. It does not provide built-in data synchronization or event-driven updates. Developers must manage scheduling or polling if freshness is required.
Unified.to delivers updates using native and [virtual webhooks](/blog/unlock_real_time_data_with_virtual_webhooks), with data retrieved directly from source APIs instead of relying on scheduled polling. Data flows in real time to your backend or database—no cron jobs or manual refresh logic needed.
Data architecture differences
| Area | Arcade.dev | Unified.to |
|---|---|---|
| Primary model | Action-based tool calls | Structured data access |
| Data delivery | On-demand API calls | Native + virtual webhooks |
| Schema | Per-tool outputs | Unified schemas across domains |
| Data pipelines | Not built-in | API, webhooks, or database sync |
| Data persistence | Developer-managed | Delivered for storage in your DB |
Tool actions vs normalized data
Arcade exposes each integration as a set of tools. One for Gmail, another for HubSpot, etc. There's no shared schema or consistent object model across platforms. Developers must handle different response formats across integrations.
Unified.to maps each domain (e.g. Contact, Job, Employee, Invoice) to a shared schema. You get structured, normalized data no matter which system the customer connects. No need to parse dozens of API variations.
Structured pipelines, not single responses
Arcade returns data at call time. There's no built-in support for change data capture, log streaming, or syncing data to a database. Developers must build those layers themselves.
Unified.to delivers structured records through webhooks or API reads, allowing teams to persist data in their own database (e.g. Postgres, MongoDB, Snowflake) without building ingestion pipelines.
Hosted vs customer-controlled
Arcade manages token storage by default. Some integrations allow you to bring your own OAuth credentials. Self-hosting is available for high-security use cases.
Unified.to never stores tokens or secrets by default. You can use your own AWS Secrets Manager to manage credentials. Unified.to routes authorized requests directly to the source API and does not store payloads, tokens, or logs.
AI agent focus vs integration infrastructure
Arcade offers SDKs in Python and Node.js, with quickstarts for building Slack bots, Gmail assistants, and OpenAI-integrated workflows. Each integration is open source, but action-specific.
Unified.to provides SDKs in 7+ languages, plus drop-in auth components and an Integration Directory UI. Everything works against one schema, one Connect flow, and one webhook model—making it easy to scale integrations across categories.
What is the difference between agent actions and data pipelines?
Agent actions allow AI systems to perform operations in external tools, such as sending messages or updating records. Data pipelines provide structured, continuously updated data that can be stored, queried, and used across applications. Actions enable execution, while pipelines enable consistent data access.
Unified.to vs Arcade.dev breakdown
| Feature | Unified.to | Arcade.dev |
|---|---|---|
| Delivery model | Real-time streaming via webhooks | On-demand API calls, no data sync |
| Schema | Unified across 415+ APIs | Per-connector tool schemas |
| Database delivery | Native support for Postgres, Mongo, Snowflake, etc. | No built-in sync |
| Token storage | None by default (BYO Secrets Manager supported) | Stored in Arcade Cloud unless self-hosted |
| Data storage | Zero—no caching, logs, or customer data stored | No data caching, but calls routed through Arcade servers |
| Developer experience | Unified SDKs, auth component, real-time logs | Per-tool SDKs, OpenAI function calling |
| AI readiness | Structured data for RAG, analytics, and ML | Action-based tool calls for agents |
| Pricing | Usage-based tiers, all features included | User + call based, with free tier |
| Best for | SaaS platforms building AI-ready integrations and data pipelines | AI copilots and agents needing tool access |
Unified.to gives you real-time data, normalized schemas, and full control—no polling, no storage, no vendor lock-in.
If you're building a product that needs structured, fresh data across CRMs, HR, ATS, or storage platforms, Unified.to is the better foundation.
Key takeaways
- Arcade.dev focuses on action-based tool execution for AI agents
- Unified.to provides real-time access to structured data across integrations
- Action-based systems execute tasks but do not provide persistent data pipelines
- Structured data pipelines are required for analytics, dashboards, and AI features
- Unified.to supports multi-system data access with consistent schemas
Start your 30-day free trial or book a demo to explore how fast you can ship real-time integrations at scale.
What is Arcade.dev?
Arcade.dev is an integration layer for AI agents that provides tool-based access to third-party APIs, allowing agents to perform actions like sending messages or retrieving data from external platforms.
What is Unified.to?
Unified.to is integration infrastructure that provides real-time, pass-through access to third-party APIs using normalized schemas, enabling SaaS products to retrieve and use structured data across multiple integrations without storing customer data.