Wvlet is an open-source, flow-style query language designed for functional data modeling and interactive data analysis. It provides a unified syntax that abstracts differences between various SQL engines, such as DuckDB, Trino, and Hive, allowing users to switch backends without rewriting queries. The platform supports reusable data pipelines, version control integration with GitHub, and extensibility through custom functions and compiler plugins.

LLM mention score The LLM mention score is the total number of mentions of this brand in different LLM chatbots, normalized to the scale from 0 to 100. You can get actual, non-normalized numbers via the LLM Mention API from DataForSEO.

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. 

How to get LLM mention data →
// Fetch Wvlet mentions
POST v3/ai_optimization/llm_mentions/search/live
[
    {
        "target": [
            {
                "keyword": "Wvlet",
                "search_scope": ["any"]
            }
        ],
        "platform": "chat_gpt",
        "order_by" : ["ai_search_volume,desc"]
    }
]