Activepieces
by ActivePieces · Open source AI automation and agents with 756+ integrations
BenchRank score
Screenshots of Activepieces
Homepage
Overview
Activepieces is an open source automation platform for building flows, AI agents, tables and MCPs across 756+ app integrations. Automations are set up through chat or the flow builder, and run either on Activepieces' cloud or on your own infrastructure via Docker, Helm or any cloud. Consumption is metered in credits, with governance features such as SSO, RBAC and audit logs on higher plans.
- Best for
- Teams wanting an open source, self-hostable builder for AI agents and app-to-app automation flows.
- Pricing
- Free forever tier with daily credits, then Plus at $16/month and Team at $166/month billed yearly (25 users included, then $25/user/month), with Ultimate priced on request and extra credits at $0.007 each.
- Runs on
- Self-hosted
Strengths and trade-offs
Strengths
- MIT-licensed, with self-hosting available on every plan
- 756+ integrations and unlimited flows on all plans
- Bring your own AI keys from the $16/month Plus plan
- Cloud is SOC 2 Type II and GDPR, with EU and US data regions
Trade-offs
- Usage metered in credits; free plan hard-caps instead of overflowing
- SSO, projects and email support need the Team plan at $166/month
- Audit logs, SCIM, Git Sync and custom RBAC are Ultimate-only, price on request
- Embedding it in your own product starts at $36k/year
How Activepieces markets itself
A structured read of the promise, proof and page design on Activepieces’s captured homepage.
Homepage capture
“Give AI to every team”
- Angle: AI-native
- Hero: Illustration
Pricing
Published plans and prices from Activepieces’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Pricing transparency
Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
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Where this comes from
The Activepieces pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
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Is this your product?
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