Financial Transactions Fraud Detection
feedzai.comThis solution applies deep learning techniques to model and interpret patterns in financial transaction data. During training, it uses a Restricted Boltzmann Machine algorithm to capture the typical behavior of transactions and establish a representation of normal activity.
After the training phase, the learned model can detect transaction patterns that deviate from this established norm. Such deviations are flagged as abnormal and are classified as anomalous transactions.
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 Financial Transactions Fraud Detection mention score POST /v3/content_analysis/summary { "keyword": "Financial Transactions Fraud Detection", "type": "llm_mentions", "date_from": "2025-01-01" }
