Experience Semarchy’s flexible unified data platform to empower better business decisions enterprise-wide.
With xDM, you can discover, govern, enrich, enlighten and manage data. Rapidly deliver data-rich applications with automated master data management and transform data into insights with xDM.
The business-centric interfaces provide for the rapid creation and adoption of data-rich applications. Automation rapidly generates applications to your specific requirements, and the agile platform quickly expands or evolves data applications.
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Okyline is an Executable Data Design (EDD) platform focused on executable validation contracts and operational data quality control.
Rather than managing separate specifications, validation code, tests, and monitoring dashboards, Okyline centralizes validation and quality supervision around a single readable executable contract acting as the operational reference for enterprise data flows.
The same contract powers deterministic validation, advanced business invariant checks, multi-format execution, data quality gates, and historical quality analytics across APIs, events, files, LLM structured outputs, and distributed operational systems.
Contracts are designed directly from annotated sample data, making validation rules immediately understandable for developers, architects, QA teams, and business analysts.
The Community Edition includes the public specification, a free Java runtime engine, a Claude AI assistant for contract generation, and an online studio supporting executable JSON validation contracts and JSON Schema transpilation.
The Enterprise Edition adds native validation for JSONL, XML, CSV, FIXED, and EDI flows together with operational quality dashboards and data quality gates, without requiring databases or centralized infrastructure.erprise Edition supports direct validation of JSON, JSONL, XML, CSV, FIXED, and EDI flows with operational quality dashboards and analytics, without databases.
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ManyPI
ManyPI is an innovative platform designed for web data extraction and API creation, transforming any website into a structured, type-safe API complete with schema definition, data extraction, transformation, and synchronization all integrated into a single system, allowing developers and data teams to effortlessly obtain clean JSON data without the need to develop custom scrapers. With its AI-driven workflow, users can easily specify a target site and the required fields, which then automatically generates a schema with risk evaluation, produces a production-ready API in mere seconds, and provides structured data through a RESTful interface that is both developer-friendly and includes SDKs, type safety, and predictable JSON outputs. Additionally, ManyPI facilitates scalable extraction processes, boasts a robust global infrastructure ensuring performance and reliability, and allows for seamless integration with existing applications or pipelines through either code or a user-friendly dashboard; furthermore, it features visual schema creation and connectors for no-code platforms such as Zapier and Make, empowering users to automate their data collection, enrichment, and reporting tasks without the burden of extensive engineering efforts. This comprehensive approach makes ManyPI a valuable tool for any data-driven project, streamlining processes and enhancing productivity.
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Apidog
Apidog provides a comprehensive suite of tools that streamlines the entire API lifecycle, empowering research and development teams to adopt optimal practices for API Design-first development. Users can design and troubleshoot APIs using a robust visual editor, paired with JSON Schema support for straightforward descriptions and debugging. The platform automates the API lifecycle through features such as test generation from API specifications, visual assertions, built-in response validation, and integration with CI/CD pipelines. Additionally, it allows for the creation of visually appealing API documentation, which can be published to a custom domain or securely shared with collaborative teams. With a local and cloud mock engine, Apidog generates realistic mock data based on field names and specifications, eliminating the need for script writing. High-quality tools are essential for fostering team collaboration while preventing redundant tasks. Users can easily describe their API during testing, generating JSON/XML schemas with just a click, and can generate test cases from APIs, visually add assertions, and create complex test scenarios with branches and iterations with remarkable ease. This seamless integration of features ensures that teams can focus on innovation rather than repetitive tasks.
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