{
    "@context": "https:\/\/schema.org",
    "@type": "TechArticle",
    "title": "Universal Real-World Tokenization Framework (URWTF64) – v0.2.0",
    "summary": "URWTF64 is an open, extensible standard designed to convert continuous real-world data streams into compact, deterministic 64-bit tokens, enabling interoperability and AI readiness.",
    "keywords": [
        "tokenization",
        "AI",
        "IoT",
        "data",
        "framework",
        "URWTF64",
        "standardization",
        "interoperability"
    ],
    "entities": {
        "token_types": [
            "Primitive Tokens",
            "Aggregate Tokens",
            "Composite Tokens",
            "Special Tokens",
            "Checksum Tokens"
        ],
        "core_principles": [
            "Universality",
            "Extensibility",
            "Hierarchy",
            "Standardization",
            "Entity Framing"
        ]
    },
    "structured_data": {
        "technical_specification": {
            "version": "0.2.0",
            "canonicalization_rules": [
                "Uppercase keys and units",
                "Version format: X.Y.Z",
                "Values rounded and zero-padded to match DECIMALS",
                "All fields separated by pipes (|)",
                "Rounding method: round half even",
                "If decimals mismatch, reject the string"
            ],
            "token_id_allocation": {
                "PRIMITIVE": "0x0000000000000000–0x92FFFFFFFFFFFFFF",
                "AGGREGATE": "0x9300000000000000–0xB2FFFFFFFFFFFFFF",
                "COMPOSITE": "0xB300000000000000–0xBFFFFFFFFFFFFFFF",
                "RESERVED": "0xC000000000000000–0xDF7FFFFFFFFFFFFF",
                "CHECKSUM": "0xDF80000000000000–0xFEFFFFFFFFFFFFFF",
                "SPECIAL": "0xFF00000000000000–0xFFFFFFFFFFFFFFFF"
            },
            "example_token_stream": [
                "FF00000000000000 ; ENTITY_1-BEGIN",
                "4ECC7C41AABBCCDD ; PRIMITIVE|FLOW_RATE|0.2.0|12.30|2|L\/S",
                "44BEC44B11223344 ; PRIMITIVE|PRESSURE|0.2.0|2.104|3|BAR",
                "50314FE5778899AA ; PRIMITIVE|TEMPERATURE|0.2.0|71.3|1|C",
                "A0D3011AFFEEDDCC ; AGGREGATE|FLOW_RATE|0.2.0|MEAN|PT5M|12.10|2|L\/S",
                "B94A6509AABBCCDD ; COMPOSITE|ALERT|0.2.0|PRESSURE_LOW",
                "DF9A123456789ABC ; CHECKSUM",
                "FF00000000000001 ; ENTITY_1-END"
            ]
        }
    },
    "ai_meta": {
        "token_est": 1500,
        "chars": 15000,
        "crawler_hint": "high",
        "richness_score": 0.85,
        "embedding_ready": true
    },
    "reasoning": "The content is a technical document detailing a framework for tokenization in AI and IoT systems, which fits the structure of a tech article. It includes various sections that explain the framework, its components, and its applications.",
    "link": "https:\/\/data.aisenseapi.com\/\/content\/2025\/11\/14\/content_1763124261_be15b15859c8_posttext.txt"
}