Data updated Jun 24, 2026 · next refresh within 24h · Traffic data: SimilarWeb (estimated)
Visual AI workflow automation platform for everyone.
Evaligo is an AI tool tracked by Relve in the AI Engineering Tools category. It uses a Freemium pricing model and runs on the web at evaligo.com.
The Relve catalog tracks 300+ live tools in AI Engineering Tools. Evaligo is part of the editorial tracking surface.
Closest alternatives: Abyss Hub, ACE Studio, Actionbook, Action Sync, Adaapt.AI. Compare Evaligo head-to-head with any of these on the /compare surface — same feature axes, pricing tiers, and traffic side-by-side.
Best for: teams looking for ai engineering tools-class capabilities with a freemium entry point. The Relve editorial team refreshes traffic, ranking, and feature data for Evaligo on a rolling 24-hour cycle (last updated Jun 24, 2026), so the numbers above reflect the most recent snapshot of where the tool sits in the market. Traffic figures are SimilarWeb estimates.
AI credits per month
Credits for AI model calls using platform API keys. Free users receive 1,000 credits per month, while Pro users get 10,000 credits. Additional credits can be purchased as needed.
Bring your own API keys
Users can utilize their own OpenAI, Anthropic, or Google API keys without any limitations. This allows for unlimited usage without consuming Evaligo credits.
Visual workflow builder
A drag-and-drop interface that enables users to build AI workflows visually. This feature simplifies the process of creating complex workflows without needing to write code.
AI/LLM integrations
Connect to various AI models including OpenAI, Claude, Gemini, and Llama. This feature allows users to leverage multiple AI capabilities within their workflows.
Model selection
Users can choose from over 20 AI models for each prompt, allowing for tailored responses based on specific needs and use cases.
Prompt nodes with variables
Create dynamic AI prompts that can include variable injection, enabling more personalized and context-aware interactions with the AI.
Structured output (JSON schema)
Receive structured JSON responses from AI, which facilitates easier data handling and integration into other systems or workflows.
Page scraper
Extract data from any web page using intelligent scraping techniques. This feature allows users to gather information from various online sources efficiently.
Google Search integration
Programmatically search the web using Google Search, enabling users to automate data retrieval from search results.
Browser automation
Navigate, click, type, and interact with web pages automatically. This feature allows for simulating user actions on websites for data extraction or testing.
HTTP requests
Make GET, POST, PUT, and DELETE requests to any API, facilitating seamless integration with external services and data sources.
HTML/CSS selectors
Extract elements from web pages using CSS or XPath selectors, providing flexibility in data extraction methods.
Link extraction
Find and extract all links from web pages, enabling users to gather related resources or data points efficiently.
JSON parsing & manipulation
Parse, extract, and transform JSON data, allowing users to handle complex data structures easily within their workflows.
Array operations
Perform operations such as splitting, merging, flattening, and filtering arrays, which enhances data manipulation capabilities.
Text transformations
Clean, format, and process text data to ensure it meets specific requirements or standards before further use.
Regex extraction
Extract data using regular expressions, providing powerful pattern matching capabilities for data retrieval.
Conditional logic
Branch workflows based on specific conditions, allowing for dynamic and responsive workflow designs.
Object manipulation
Create, merge, and transform objects within workflows, enhancing the ability to manage complex data structures.
GitHub integration
Create issues, pull requests, and manage repositories directly from workflows, streamlining development processes.
Bitbucket integration
Similar to GitHub integration, this feature allows users to manage Bitbucket repositories and automate related tasks.
Email (SMTP)
Send emails from workflows, enabling automated communication based on workflow triggers and conditions.
S3 file upload
Store files in AWS S3, allowing for scalable storage solutions directly from workflows.
Custom API connections
Connect to any REST API, providing flexibility to integrate with various external services and tools.
Deploy as API endpoint
Turn workflows into REST APIs, enabling easy integration and access to workflow functionalities from external applications.
Webhook triggers
Trigger workflows via webhooks, allowing for real-time responses to external events or actions.
One-time scheduled runs
Schedule a workflow to run once at a specific time, providing flexibility in workflow execution timing.
Recurring schedules
Run workflows on recurring intervals such as hourly, daily, or weekly, automating regular tasks effortlessly.
Concurrent API executions
Allow parallel workflow executions via API, enhancing performance and responsiveness during high-demand scenarios.
Real-time testing
Test workflows as they are built, allowing for immediate feedback and adjustments to ensure functionality.
A/B testing for agentic flows
Run flow variants side by side to compare quality, cost, and latency, enabling optimization of workflows based on real data.
Step-by-step debugging
Inspect data at each node during workflow execution, facilitating easier troubleshooting and optimization.
Execution history
View past workflow runs and results, providing insights into performance and areas for improvement.
Dataset storage
Store and preview datasets within the platform, allowing for easy access and management of data used in workflows.
Template library
Import from over 100 ready-to-use templates, enabling users to quickly start building workflows without starting from scratch.
Free
Pro
unknown· 12
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Traffic data: SimilarWeb (estimated) · updated Jun 24, 2026
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