Feldera provides an incremental compute engine that enables real-time data processing by updating results only when underlying data changes, eliminating the need for costly batch recomputation. Built on a formally verified DBSP architecture, it allows engineering teams to run complex SQL pipelines at scale with flat latency and cost structures. The platform is designed to support high-performance use cases such as real-time feature engineering, fraud detection, and AI agent infrastructure.

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