Denormalized

Denormalized is a high-performance, embeddable stream processing engine built on Apache DataFusion and Rust. It enables developers to process millions of events per second on a single node by leveraging in-memory vectorized computation and cloud-based state management via SlateDB. The platform simplifies real-time data processing by eliminating the complexity of distributed clusters while offering Python and Rust SDKs for rapid deployment.

LLM mention score

Normalized 0–100 · last 8 weeks

DataForSEO API

Get LLM mention data of any company via DataForSEO API

Get access to the structured data on keyword, brand, and website mentions in LLMs, including metrics like AI search volume, impressions, and mentions count.

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How to get LLM mention data →

// Fetch Denormalized mentions
POST v3/ai_optimization/llm_mentions/search/live
[
    {
        "target": [
            {
                "keyword": "Denormalized",
                "search_scope": ["any"]
            }
        ],
        "platform": "chat_gpt",
        "order_by" : ["ai_search_volume,desc"]
    }
]