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FAQ's

Frequently Asked Questions

Clear answers to help you understand features, workflow, and secure task handling with confidence

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Commercial & Onboarding FAQs

This section targets decision-makers, product managers, and new users trying to understand the value, pricing, and initial setup of the SaaS.

What is MindSync and how does it improve our existing workflows?
MindSync is a cloud-based automation platform that connects your apps, databases, and AI models into seamless, automated workflows. Unlike traditional, rigid automation tools, our platform uses smart logic trees to adapt to changes in your data, eliminating manual tasks and reducing human error by up to 80%.
No. We offer a dual-mode builder. Non-technical team members can use our intuitive, visual drag-and-drop canvas to map out standard automations, while developers can jump into the code block editor to inject custom JavaScript/Python snippets or construct complex webhooks.
Our pricing scales directly with your usage, measured in Executions (each time a workflow runs a step). Our Free Tier includes 1,000 executions per month. As you scale, our Pro and Enterprise tiers offer higher execution ceilings, faster concurrency rates, and dedicated support without forcing you into locked, expensive annual contracts.
Yes. We provide an automated migration assistant that securely maps your active webhooks and structural logic from other major platforms directly into MindSync. For complex custom integrations, our onboarding engineering team is available to assist your developers during setup.
No. We believe automation is a team sport. All our plans, including the Free Tier, allow for unlimited team members. You only pay for the volume of workflow executions and premium data connectors your organization uses.

Technical & Orchestration FAQs

This section is built for developers, system architects, and DevOps leads who need details on API architecture, Agentic integration, and infrastructure limits.
Does MindSync support Agentic AI frameworks like CrewAI or LangGraph?
Yes natively. You can deploy standalone AI nodes that function as autonomous workers within your pipeline. The platform supports native memory logging (RAG architecture), semantic routing, and tool-calling capabilities, letting your multi-agent AI systems execute code, query endpoints, and self-correct dynamically.
Our Pro tier supports up to 50 concurrent workflow paths, while our Enterprise infrastructure expands to meet custom concurrency thresholds. To prevent your destination apps from blocking traffic, our system features granular rate-limiting queues, allowing you to throttle data execution bursts systematically.
Yes. Every code block execution node runs inside a sandboxed, isolated secure container environment. You can import popular npm packages or pip libraries natively within your workflows to parse data strings, handle custom cryptography, or format complex payloads before routing.
You can generate unique, secure HTTP webhook URLs directly inside our canvas to capture incoming payloads. We support custom payload parsing, basic/bearer authentication tokens, IP whitelisting, and secret header verification to ensure your ingress data streams remain fully protected.
For standard plans, execution logs and full data payloads are retained for 14 days to assist with testing and error tracking. Enterprise environments can configure custom log-retention matrices, ranging from zero-log policies (for highly sensitive data pipelines) to external streaming into Datadog or AWS S3.
Yes. Every automation workflow can be exported as a clean JSON schema file. You can commit these schemas directly to your GitHub or GitLab repositories, allowing you to manage environment variables, test pipelines locally, and push version updates via your existing deployment tools.
For organizations with strict data sovereignty mandates, we offer a self-hosted Enterprise edition. You can deploy our lightweight, containerized orchestration cluster locally using Docker or Kubernetes, keeping 100% of your operational workflows and execution logs inside your private cloud network.

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