Zapier AI vs Gumloop: pricing, features and which to choose

Zapier AI is the artificial intelligence layer within Zapier’s automation platform, from the workflow company founded in 2011. Zapier advertises more than 9,000 apps and 66,000 triggers and actions. The offering includes AI by Zapier steps, embedded agents, chatbots, and MCP connections for assistants such as Claude, ChatGPT, Cursor, and Gemini. Governance features include model policies, PII checks, prompt injection checks, toxicity checks, audit logs, SSO, SCIM, and model opt-out on Enterprise. Zapier also reports more than 593 million AI tasks automated, though it does not publish a separate AI user count. Its practical role is connecting model decisions with app credentials, approvals, retries, records, and repeatable business workflows. AI by Zapier supports OpenAI, Anthropic, Google Gemini, Azure OpenAI, and Amazon Bedrock through built-in connections or customer accounts.

A typical workflow starts with a trigger in a Zap, followed by an AI by Zapier step containing instructions, mapped inputs, and optional structured output fields. The step can summarize, classify, extract, write, or analyze information. Standard handles simple prompts without tools, while Advanced and Premium can use connected app actions and knowledge sources. Returned fields can flow into Gmail, Salesforce, Slack, or another connected application. Users can select Zapier models or connect accounts from OpenAI, Anthropic, Google Gemini, Azure OpenAI, or Amazon Bedrock. Administrators can restrict available models, tools, and agentic behavior, while per-tool approvals can pause sensitive actions before execution. AI by Zapier offers templates for summarizing, writing, classifying, and extracting information when configuring prompts.

Zapier AI’s main tradeoff is usage complexity because ordinary actions, model multipliers, tool calls, and account limits draw from shared capacity. Outputs can vary, so sensitive writes may need approvals or human review. Make, n8n, and Microsoft Copilot Studio are direct competitors for workflow automation with AI capabilities. Zapier emphasizes a broad app catalog, managed authentication, retries, rate limits, auditability, and business-user simplicity, while technical teams may prefer more granular control or self-hosting elsewhere. ChatGPT and Claude are direct model-native alternatives for conversation-first work, but Zapier adds connected credentials and operational actions. Choose Zapier for governed SaaS automation; choose Make, n8n, or Copilot Studio when their control model fits better. It is best for teams that want hosted, auditable AI workflows across business apps.

Gumloop is a hosted agent and workflow builder made by AgentHub Inc., founded in April 2023 by McGill classmates Max Brodeur-Urbas and Rahul Behal under the name AgentHub. The company changed its name to Gumloop in 2024. BetaKit reported a $3.1 million seed round in July 2024, while TechCrunch and BetaKit reported a $17 million Series A in January 2025. The reported funding total reached about $20 million. Gumloop presents its product as a multiplayer AI agent builder for company operations. People create agents that connect to business applications, run from schedules or triggers, and produce reports, documents, dashboards, or web apps. The product is a commercial SaaS service rather than an open-source platform.

A typical Gumloop workflow starts on a visual canvas, where a user combines instructions, connectors, and reusable skills. Agents can read or write in Slack, Gmail, Salesforce, HubSpot, Notion, Linear, GitHub, and Google Sheets, with additional tools available through MCP. Users can run agents interactively, schedule them, call them with a webhook, or invoke them through the REST API. Gumloop also provides an MCP server for compatible clients. Documented use cases include lead enrichment, CRM updates, meeting briefs, support triage, monitoring, data analysis, research, and scheduled reports. Teams share usage through an organization credit pool. Developers can add logic through Python or JavaScript alongside visual workflow steps, while business users can build and revise agents without maintaining a separate orchestration service.

Gumloop fits business teams that want agents to act across existing SaaS tools without running orchestration infrastructure. Its usage pricing requires closer monitoring than fixed per-task plans, especially when agents use expensive models, many connectors, or long compute sessions. Compared with Zapier, Gumloop offers deeper agent behavior and MCP access. Compared with n8n, Gumloop is more managed and business-user oriented, while n8n offers greater deployment control. Compared with Dify, Gumloop focuses more on connected operational work than on building self-hosted RAG applications. Gumloop is less suitable for teams seeking broad self-hosting or predictable task pricing. Choose it for collaborative SaaS automation, API access, and enterprise governance, especially when the intended user is a business or IT team.