Ready to implement AI with confidence (without sacrificing security)?
Connect your AI agents to apps and data more securely, give users control over the actions AI agents can perform and the data they can access, and enable human confirmation for critical agent actions.
Start building today
Cloud tools for web scraping and data extraction
Deploy pre-built tools that crawl websites, extract structured data, and feed your applications. Reliable web data without maintaining scrapers.
Automate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
This is a tool for concern mining which uses a KDM model as input and the output is the same model with annotated concerns. It uses a Concern Library and a modified String Clustering K-means algorithm with Levenshtein metric to cluster the strings.
GMetrics provides calculation and reporting of size and complexity metrics for Groovy sourcecode.
This project has moved to GitHub:
https://github.com/dx42/gmetrics
The GroovyStAr ("Groovy Static Analyzer") project describes a new extensible SCA tool for Java and Groovy. The extensibility is reached through a customizable set of Groovy-scripts, each representing a static sourcecode query against the created AST.