OSQP

OSQP is an open-source, embeddable convex optimization library specialized in solving quadratic programming (QP) problems. It utilizes a specialized ADMM-based first-order method with custom sparse linear algebra routines to deliver efficient and robust performance across various problem classes. The software is freely available under the Apache 2.0 license and provides interfaces for multiple programming languages including C, Python, MATLAB, and Julia.

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