Automation Platform
Make vs Pinksheep pricing, side by side
Quick answer
This page focuses on pricing alone: free tiers, paid plans, overage behaviour, and estimated total cost at typical small and mid-market volumes. Headline is: Make and Pinksheep usually price comparably at the entry tier; total cost diverges based on write volume, approval overhead, and engineering time saved.
This page is the pricing overlay on the main Make vs Pinksheep comparison. The feature table, decision matrix, and trust-safety pointers are the same; the verdict and FAQ are tailored to pricing.
Verdict
Visual scenario builder vs plain-English AI agents with approvals
Price floor
Make free, then from $10.59/mo / Pinksheep free, then from $29/mo
Best for
Teams that want AI reasoning in the loop, not just visual logic
Before choosing, review the pricing ranges, the approval and audit model, and the MCP export guide. Then browse integrations or jump to the template library.
Feature comparison
Make vs Pinksheep, feature by feature
| Feature | Make | Pinksheep |
|---|---|---|
| Core model | Visual scenario builder | Plain English AI agents |
| AI reasoning | OpenAI / Claude modules | Native (LLM planner + approvals) |
| Approval workflows | Manual via wait + email | Native, optional per action |
| Audit trail | Scenario history | Full decision + approval trail |
| Integrations | 1,800+ apps | Core business tools + MCP |
| Visual editor | Yes (scenario canvas) | No, plain English first |
| MCP export | No | Yes |
| Pricing | Free, then from $10.59/mo | Free, then from $29/mo |
| Best for | Visual automation designers | Operators needing approval controls |
Common searches
Common Make searches
Make pricing
Make plan structure, seat costs, and how it compares to Pinksheep's credit-based pricing.
Make alternatives
Best alternatives to Make, ranked by approval controls, audit trail, and deployment speed.
Make for RevOps
Make fit for RevOps teams who need approval gates on CRM writes.
Make for finance ops
Make fit for finance teams deploying AI on invoices, collections, and reconciliations.
Make for support
Make fit for customer support teams automating triage, replies, and escalations.
Make migration guide
How to describe an existing Make workflow in plain English and rebuild it inside Pinksheep with approval controls.
Make vs Pinksheep pricing
Side-by-side price per agent, overage, and total cost of ownership for Make and Pinksheep.
Pinksheep MCP server
Export a Pinksheep agent as an MCP server so Cursor, Claude Desktop, and ChatGPT can run it directly.
Intent routing
Need something other than a Make head-to-head?
The comparison gives you the verdict. These pages go deeper on price, safety, and how Pinksheep fits the rest of your stack.
When Make is the better choice
- You prefer to see the scenario as a visual canvas with modules and routes.
- You need integrations with long-tail apps across 1,800+ connectors.
- You're comfortable mapping operations and handling edge cases inside the canvas.
- Your workflow is mostly deterministic with occasional AI calls.
When Pinksheep is the better choice
- You'd rather describe the outcome than design the scenario.
- The work needs AI reasoning as the core, not as a module.
- You need approval gates on writes without building them per scenario.
- You want MCP export so the same agent is callable from Cursor, Claude Desktop, or ChatGPT.
Decision matrix
Which should you pick: Make, Pinksheep, or both?
| Option | Best when | Not for | Price floor | Proof |
|---|---|---|---|---|
| Pick Make | You prefer to see the scenario as a visual canvas with modules and routes. | You'd rather describe the outcome than design the scenario. | Make free, then from $10.59/mo | Make pricing and docs on www.make.com |
| Pick Pinksheep | You'd rather describe the outcome than design the scenario. | You prefer to see the scenario as a visual canvas with modules and routes. | Free tier, paid from $29/mo | /trust-safety + /pricing |
| Use both | Make for knowledge or research work, Pinksheep for writes that touch production data. | Single-tool mandates or tight budgets. | Depends on volume split | /compare/pinksheep-vs-make/migration |
Start here
Start with a plain-English agent
Describe what you'd run against Make today. Pinksheep drafts the agent, highlights the writes, and waits for your approval before anything commits.
The key difference
Make is a canvas. You compose modules, wire them into routes, and test the scenario. AI is something you call, not something you build around.
Pinksheep is an agent. You describe what you want, and the platform handles planning, tool selection, approvals, and audit. AI is the whole model.
Make is best when the workflow is visual and deterministic. Pinksheep is best when the workflow needs judgement, and the writes need control.
Common questions
Is Make cheaper than Pinksheep?
Make starts at $10.59/mo, cheaper than Pinksheep's $29/mo. But Make charges per operation, so complex scenarios can cost more than equivalent Pinksheep agents, which bundle reasoning and execution into a single credit model.
Can I migrate a Make scenario to Pinksheep?
For scenarios that benefit from AI reasoning and approvals, yes. Describe the scenario in plain English and Pinksheep builds the agent equivalent.
Does Make have approval workflows?
Only via wait modules and email. Pinksheep's approvals are native, configurable per action, and captured in the audit trail.
Which is better for AI-powered automation?
Pinksheep. Make's AI modules sit on top of scenarios. Pinksheep's agent is the core of the product.
Can Pinksheep trigger a Make scenario?
Yes via webhook. A Pinksheep agent can trigger any Make scenario that exposes a webhook and pass structured inputs.
Does Make charge per task, per agent, or per run?
Varies by vendor. Always check the current pricing page. The key cost driver is usually the number of AI-assisted steps, not the number of agents.
What's included in Pinksheep's free tier?
Agent builder, core integrations, approvals, audit trail, and a monthly credit allowance. Enough to run a real workflow end to end before upgrading.
Is Make cheaper than Pinksheep at scale?
At true enterprise scale, it depends on contract. At SMB and mid-market, Pinksheep's credit model is usually cheaper once you factor in approval overhead and engineering time.
How it works
From description to live agent in three steps
Describe
Tell Pinksheep what you want the agent to do in plain English. No triggers, no code, no mapping.
Approve
Pinksheep writes the plan, lists the tools it needs, and asks you to approve scope and write permissions.
Run + audit
The agent runs live. Every action is logged, approvals are captured, and spend stays inside the caps you set.
Provenance
Last updated:
Editorial owner: pinksheep Editorial Team
Pricing and feature claims verified against www.make.com on 20 April 2026. Reviewed by the Pinksheep Editorial Team.
AI-assisted research, human-reviewed.
Proof sources
Pinksheep trust and safety
Approval model, audit log, and the guardrails every agent inherits by default.
Pinksheep pricing
Free tier, credit-based plans, overage behaviour, and enterprise options.
Build agents without code
The plain-English pattern used to describe and deploy production agents.
How Pinksheep agents work
Planner, approval gate, tool runtime, and audit log architecture.
Make official site
Primary source for current Make pricing, features, and docs.
Related comparisons
Other comparisons in the same category
Automation Platform
Pinksheep vs Zapier
Zapier is a trigger-action automation platform that connects 6,000+ apps via deterministic Zaps. Pinksheep is an approval-first AI agent builder that turns plain-English descriptions into agents with reasoning, tool use, and configurable approvals on every write.
Updated 20 Apr 2026
OpenAutomation Platform
Pinksheep vs n8n
n8n is an open-source, node-based workflow automation tool that can be self-hosted. Pinksheep is a hosted approval-first AI agent platform where agents are described in plain English and every write can be gated by approval.
Updated 20 Apr 2026
OpenAutomation Platform
Pinksheep vs Gumloop
Gumloop is a visual AI workflow builder focused on drag-and-drop AI automation with a large template library for SMB teams. Pinksheep is a plain-English AI agent builder where every write can be gated by approval and every run is audited.
Updated 20 Apr 2026
OpenSupporting resources
Verify, compare, and move to the right next step.
Verify
Pinksheep trust & safety
Audit log, approval controls, spend caps, and the guardrails every agent inherits.
Open resourceCompare
All AI agent platform comparisons
Head-to-head breakdowns of Pinksheep against every major agent and automation tool.
Open resourceLearn
Build agents without code
The plain-English pattern Pinksheep uses to turn a description into a working agent.
Open resourceIntegrate
Pinksheep integrations
Every tool, CRM, inbox, and data source Pinksheep agents can read from or write to.
Open resourceDecide
Pricing and credits
Free tier, paid plans, and how credit-based execution scales with your agent usage.
Open resourceStart
Join the waitlist
Describe what you need. Review the plan. Get to a live agent in minutes.
Open resourceJoin the waitlist
Describe what you need. Review the plan. Get to a live agent in minutes.