AI SENSE - API

Free Public REST API Categories


AI SENSE is a forward-thinking technology provider based in Oslo, Norway. We offer a growing suite of free public APIs, as well as custom-built APIs designed to deliver real-time data and seamless integrations for a wide range of applications—especially those requiring timely information for Large Language Models (LLMs) and other AI-driven solutions.

Our free public APIs cover everyday development needs and help you quickly prototype projects without the hassle of setting up complex back-end infrastructures. For organizations seeking more specialized features, we create custom APIs tailored to specific requirements—from integrating with proprietary platforms and systems to connecting with popular cloud services and standard enterprise tools. Whether you need unique data pipelines, payments integrations, or advanced analytics, our team collaborates closely with you to ensure every solution aligns with your vision and scales as your needs evolve.

Why Choose AI SENSE

  • Real-Time Data: We excel at delivering live information feeds essential for AI applications and data-driven insights.
  • Flexibility & Scalability: Whether you’re working on a small prototype or a large-scale enterprise project, our APIs adapt to your workload and performance requirements.
  • Custom Integrations: We build APIs for any platform—from well-known cloud providers and popular third-party services to proprietary systems with specialized data.
  • Dedicated Support & Security: Our commitment goes beyond development; we ensure robust security measures, ongoing updates, and responsive customer support so you can focus on growth.

If you’d like to learn more about our free public APIs or discuss how a custom API solution could elevate your operations, feel free to reach out at Contact Us. We look forward to partnering with you as you harness the power of real-time data and cutting-edge integrations.


AI DATA FEED - Make Your Data Available For AI Providers

Many individuals and companies hold valuable text, descriptions, and knowledge that AI systems cannot access. This service makes it easy to publish that information. You can paste text or upload files in any format, and the system automatically analyzes, extracts, cleans, and structures it so AI models can easily discover and interpret it.

AI models rely on public information, but much useful content remains unseen because it is locked inside closed formats or hidden behind websites that machines cannot read. This service bridges that gap by making your text structured, open, and visible.

Common examples of shared content include shop and product information, blog posts and articles, manuals and documentation, tutorials and guides, FAQs, and descriptions of services.

Read more…


Universal Real-World Tokenization Framework

Introduction
The rapid growth of AI and IoT has created a world where billions of devices continuously sense and report on physical reality. Yet despite this abundance, the data they generate is fragmented, inconsistent, and often locked into proprietary formats. This lack of common structure limits interoperability, slows large-scale learning, and leaves AI without a reliable way to understand the real world. The Universal Real-World Tokenization Framework (URWTF) addresses this gap by introducing a compact, deterministic way to represent facts about reality. By turning raw sensor streams into standardized tokens, URWTF not only simplifies recording and sharing of data but also reshapes how we think about it by shifting from isolated readings toward a universal language of measurable events that machines and humans can both rely on.

The Need for Real-World Tokenization

Current AI models excel in text, image, and speech processing due to the availability of structured data and robust tokenization techniques. In contrast, data from sensors, machines, and physical systems is often continuous, noisy, and domain-specific. This complexity inhibits the development of generalizable AI models that can interact with real-time operational environments such as industrial automation, energy management, and logistics.

What Is Real-World Tokenization?

Real-world tokenization involves converting raw sensor data, machine states, and environmental observations into discrete, meaningful units known as tokens. Each token represents a consistent and unambiguous state or event, independent of context. With billions of possible tokens across domains, the framework provides sufficient resolution to capture complex real-world phenomena while still enabling standardization and interoperability. Unlike raw continuous logs, tokens compress noisy signals into deterministic states that can be compared, indexed, and reused across systems without loss of meaning.

Universal Real-World Tokenization Framework >> 


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