{
    "meta": {
        "name": "Noiseless Search Protocol",
        "version": "1.6.0",
        "description": "Ultimate noise reduction and source optimization for AI agents.",
        "maintainer": "Project Sync",
        "generated_at": "2026-04-14T10:29:02+00:00",
        "language": "en"
    },
    "logic": {
        "exclusion_keywords": [
            "best",
            "reviews",
            "top",
            "ranking",
            "recommended",
            "comparison",
            "compare",
            "vs",
            "deal",
            "deals",
            "discount",
            "coupon",
            "promo",
            "roundup",
            "listicle",
            "amazon",
            "ebay",
            "pinterest",
            "sponsored",
            "advertisement",
            "affiliate"
        ],
        "command_templates": {
            "web_standard": {
                "description": "Clean web search by stripping away SEO noise and marketing spam.",
                "query_suffix": ""
            },
            "academic_research": {
                "description": "Focus exclusively on verified academic papers, universities, and government sources.",
                "query_suffix": " (site:edu OR site:ac.uk OR site:gov OR site:who.int OR site:nih.gov OR site:arxiv.org OR site:ieee.org)"
            },
            "pdf_vault": {
                "description": "Extract high-value technical documents or whitepapers in PDF format.",
                "query_suffix": " filetype:pdf"
            },
            "wiki_context": {
                "description": "Verify definitions and structured facts within Wikipedia.",
                "query_suffix": " site:en.wikipedia.org"
            }
        },
        "search_parameters": {
            "no_tracking": "&pws=0",
            "web_only": "&udm=14"
        },
        "meta_terms": [
            "research",
            "paper",
            "study",
            "analysis",
            "official"
        ]
    },
    "agent_instruction": "1. Capture user core intent. 2. Append all language-specific exclusion_keywords with a '-' prefix. 3. Select and apply the most relevant command_template. 4. Always include all search_parameters in the final Google Search URL to ensure a noiseless environment.",
    "capabilities": [
        "noise_reduction_optimization",
        "academic_gatekeeping",
        "global_language_awareness",
        "privacy_focused_search"
    ]
}