Tag: text-analysis
Sentiment, Emotion, and Intent Analysis API
This tool analyzes provided text to return structured scores for various emotions (e.g., joy, anger) alongside overall sentiment and classified intent. It provides a comprehensive breakdown, including a one-sentence summary of the text's co…
Batch sentiment, emotion, and intent analysis
This tool provides batch processing for analysing up to 500 texts, returning detailed sentiment scores, emotional breakdowns, and classified customer intent. It requires a structured JSON payload and is billed via the x402 payment protocol.
Detect and mask personally identifiable information
This tool detects various types of Personally Identifiable Information (PII), such as emails, SSNs, and names, within provided text. It optionally masks the detected data and returns a calculated risk level, requiring payment via x402.
Batch PII Detection and Masking Service
This tool facilitates the batch detection and optional masking of Personally Identifiable Information (such as names, emails, and phone numbers) across up to 500 text inputs via a dedicated API endpoint. It returns detailed results, includi…
AI compliance analysis for policies and text
This tool performs comprehensive compliance checks on provided text against specified regulatory frameworks, such as GDPR, HIPAA, or SOX. It returns a detailed risk assessment, listing specific violations and actionable remediation recommen…
Batch compliance analysis for multiple texts
This tool performs batch compliance analysis on up to 500 texts, checking for violations against specified frameworks like GDPR or HIPAA. It requires a structured API call and payment via the x402 protocol.
Local RAG for document ingestion and querying
This comprehensive local RAG pipeline enables the ingestion of various file types, supporting both raw data and complex visual PDF content. It executes advanced hybrid searches, providing semantic and keyword results, and includes context e…
Decompose text into structured semantic units
This tool deterministically parses raw text or URLs into structured semantic units, classifying elements by authority, risk, and attention score. It is ideal for pre-processing complex documents like specifications or contracts, significant…