Contextualized

Contextualized is an open-source, scikit-learn-style Python toolbox designed for estimating and analyzing models with context-specific parameters. It enables data scientists and ML engineers to identify hidden heterogeneity in datasets by adapting regression, Bayesian networks, and correlation models to sample-specific conditions. The toolkit provides unified APIs and visualization tools to help users understand feature interactions and build adaptive machine learning systems.

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.

Get Free API Credits API Documentation

How to get LLM mention data →

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