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Pipedream

by Pipedream (acquired by Workday)

Developer-first integration platform for building workflows and AI agents

Agent PlatformSupervised

Last reviewed 2026-06-20

Pipedream is a developer-first integration and workflow automation platform used to connect APIs, automate processes, and build AI agents. It pairs a visual workflow builder with inline Node.js, Python, Go, and Bash code, managed authentication for thousands of apps, and an embeddable SDK (Pipedream Connect) for adding integrations to your own product or agent. Its connector library doubles as agent tooling: the same integrations are exposed as MCP servers and pre-built tools so agents can act across business systems. It targets both developers and less-technical builders. The Agent Builder lets teams prompt, run, edit, and deploy agents, and an Edit/Debug-with-AI assistant helps build workflows from natural language. Pipedream was acquired by Workday in November 2025 to extend AI-agent integrations across enterprise apps.

What it can do

  • Build and deploy AI agents

    Supervised

    The Agent Builder lets teams prompt, run, edit, and deploy agents that understand intents, pull data from connected systems, and act on a user's behalf (for example triggering tasks, updating records, or sending notifications).

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  • Automate API-connected workflows visually plus code

    Assistant

    A workflow builder chains triggers and actions across 3,000+ apps, with inline Node.js, Python, Go, and Bash where more control is needed, run on HTTP, cron, or app events.

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  • Expose connected apps as MCP tools for agents

    Supervised

    Pipedream's MCP servers add 3,000+ APIs and 10,000+ pre-built tools to agents, with managed authentication, so agents can call external systems within guardrails.

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  • Embed integrations via the Connect SDK

    Assistant

    Pipedream Connect is an SDK that lets developers add managed-auth integrations to their own app or agent, handling OAuth and credentials so end users connect their accounts.

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  • Build and debug workflows with AI

    Copilot

    An Edit-with-AI and Debug-with-AI assistant (via String.com) builds, configures, tests, and fixes workflows from natural language, with the developer reviewing the result before deploy.

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Strengths

  • +Generous free tier and developer-friendly: visual builder plus inline Node.js, Python, Go, and Bash
  • +Huge connector library (3,000+ apps, 10,000+ tools) that doubles as agent tooling via MCP and the Connect SDK
  • +Holds SOC 2 Type II and HIPAA certifications and is GDPR-compliant per the vendor

Limitations

  • Credit-based metering can get expensive for high-frequency or compute-heavy workflows
  • No self-hosted option: it is a managed SaaS only
  • Future roadmap and standalone availability are uncertain following the November 2025 Workday acquisition

Overview

Pipedream is a developer-first integration and workflow automation platform that is also used to build AI agents. It connects APIs, automates processes, and exposes its large connector library as tooling that agents can call. The vendor describes it as a platform for building AI agents and reported (via Workday at acquisition) more than 5,000 customers and tens of thousands of users. Pipedream was founded in 2018 in San Francisco and acquired by Workday in November 2025.

What it does

A visual workflow builder chains triggers and actions across 3,000+ apps, with inline Node.js, Python, Go, and Bash for custom logic, run on HTTP, cron, or app events. The Agent Builder lets teams prompt, run, edit, and deploy agents that understand intents, pull data from connected systems, and act on a user's behalf. The same connectors are exposed as MCP servers (3,000+ APIs, 10,000+ pre-built tools) with managed authentication, so agents can call external systems. An Edit/Debug-with-AI assistant helps build workflows from natural language.

Integrations & setup

3,000+ integrated apps with managed authentication and 10,000+ pre-built triggers and actions. Pipedream Connect is an SDK for embedding those managed-auth integrations into your own app or agent. It is model-agnostic and integrates with providers such as OpenAI and Anthropic rather than shipping a single proprietary model.

Pricing

Freemium with credit-based metering (reported 1 credit = 30 seconds of compute at 256MB). The free tier is reported at 100 credits/day; paid plans start around $29/mo (Basic) and $79/mo (Advanced, ~10,000 credits/day), with custom Business/enterprise pricing for unlimited credits, SSO/SAML, and audit logging. Confirm current numbers on the pricing page.

Best for / not for

Best for developers and technical teams who want flexible automation, embeddable integrations, and a fast path to agent tooling over thousands of APIs. Less suited to teams needing self-hosting or full data residency control (it is managed SaaS only), or to buyers wary of roadmap uncertainty after the Workday acquisition.

Alternatives

n8n is the closest fair-code, self-hostable alternative; Make is a visual competitor; Zapier (and Zapier Agents) targets a broader no-code audience. Relevance AI and Lindy focus more on turnkey agent building.

What people are saying

We aggregate real LinkedIn discussion into sentiment for the agents people search most. Pipedream isn't tracked yet, want it added? Request tracking.

FAQ

Can Pipedream build AI agents?+

Yes. The Agent Builder lets teams prompt, run, edit, and deploy agents, and Pipedream's 3,000+ connectors are exposed as MCP tools so agents can act across connected systems. Agents typically run as supervised automations rather than fully unsupervised actors.

Was Pipedream acquired?+

Yes. Workday signed a definitive agreement to acquire Pipedream on November 19, 2025, to extend AI-agent integrations across enterprise applications. At the time Workday cited more than 5,000 customers and tens of thousands of users.

Is Pipedream free?+

It has a free tier (reported at 100 credits/day as of 2026). Paid plans start around $29/mo (Basic) and $79/mo (Advanced), with custom Business/enterprise pricing for unlimited credits, SSO/SAML, and audit logging.

Sources

Last reviewed 2026-06-20

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