Extract and classify risk factors, enriched with linguistic attributes.
Parsifex extracts, classifies, and quantifies risk factors from US public company 10-K filings. Each risk factor is assigned a topic, and enriched with linguistic attributes — sentiment, readability, tense, and named entities.
Classify risk topics and measure enriched with linguistic attributes in seconds with advanced NLP models.
Process and summarize full risk disclosures from from 10-K with topic mapping and linguistic metrics.
Download structured risk datasets by year, industry, or company for reproducible research.
Firms
10-K Filings
Risk Factors
Fiscal Years
Paste any risk factor from a US firm's 10-K filing. The platform identifies the risk topic and computes linguistic attributes including sentiment, readability, tense orientation, and named entities.
Upload one or more 10-K filings in HTML format. Parsifex extracts each risk factor, classifies it into a topic, and computes the text attributes you select — sentiment, readability, tense, and named entities. Download the results as a structured file with a visual summary.
Build a custom query across filings, firms, risk factors, and topics. Filter by year, industry, exchange, topic, or supply your own list of CIKs or tickers. Select the columns you need and export as CSV, XLSX, or Parquet.
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