Hypothesis is a property-based testing library for Python that automates the discovery of edge cases and bugs by generating random test inputs against user-defined constraints. It integrates with popular frameworks like pytest and unittest to simplify debugging by shrinking failing examples to their minimal cause. Widely adopted in the Python ecosystem, it serves as a critical tool for software quality assurance and robust code validation.

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