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Description
ETLR serves as an AI workflow automation solution that allows users to design, version, and deploy workflows through YAML. Utilizing a 'workflows as code' methodology, it simplifies the management of AI workflows, eliminating the necessity for graphical user interface interactions.
With integrated version control capabilities, ETLR streamlines the process of monitoring modifications and reverting updates as needed. Workflow deployment is achieved with a single command, significantly reducing the time spent on configuring infrastructure, thus proving to be an efficient tool for developers.
The platform seamlessly integrates with a variety of services, including OpenAI, AWS, Slack, and Python, which broadens its applicability. In addition, it boasts impressive features such as real-time metrics, organized logs, and step-by-step execution traces, which offer comprehensive insights into the execution of workflows.
Enterprise customers of ETLR enjoy the added benefit of dedicated support and service level agreements (SLAs) for enhanced reliability. Furthermore, the pricing model is straightforward and operates on a credit system, where each credit corresponds to a single workflow execution, ensuring clarity in billing and usage. This thoughtful design makes ETLR not just a tool, but a valuable partner in the automation of AI workflows.
Description
LiveContext serves as a platform for AI-driven workflows and agents, enabling users to describe a job in chat, after which the AI generates a visual representation of the workflow, complete with triggers, over a thousand API integrations, tables, decisions, loops, and agent steps. While the model constructs the workflow, it refrains from executing it, ensuring that the processes remain predictable, more economical in token usage, and fully transparent. To incorporate decision-making, users can introduce an AI agent node equipped with specific tools and a defined budget for spending. These workflows facilitate the creation of compact web applications that your team can utilize, operating on schedules, responding to webhooks, processing forms, or interacting via chat, and they are also accessible to other agents as tools. The platform includes built-in tables for data storage, with each execution meticulously traced from node to node, and every agent maintains its own performance metrics and credit allocation. Furthermore, LiveContext makes its workflows, tables, and integrations available through an MCP server, enhancing its versatility. It is offered as a cloud-based service featuring a free plan, alongside a self-hosted Community Edition, which is open-source and adheres to the LiveContext Sustainable Use License, ensuring users have flexible options for deployment and usage.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
$27/month
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Creu Labs
Founded
2025
Country
United Kingdom
Website
etlr.io
Vendor Details
Company Name
LiveContext
Country
France
Website
livecontext.ai