Streaming Anomaly Detector For Categorical Data
thatdot.comThis containerized API enables real-time anomaly detection to be added directly into applications. It evaluates categorical data inputs such as strings, names, and paths to determine their relative novelty.
By scoring how unusual each observation is, the service helps surface issues, problems, and outliers, including in datasets with very high cardinality.
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 Streaming Anomaly Detector For Categorical Data mention score POST /v3/content_analysis/summary { "keyword": "Streaming Anomaly Detector For Categorical Data", "type": "llm_mentions", "date_from": "2025-01-01" }
