TextQL
AI-powered data analysis and automation platform for enterprises
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for TextQL, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology — every score is re-derived by the same automated method as an agent's public evidence changes.
Overview
TextQL is an AI platform that connects to a company's existing data stack, including business intelligence tools, semantic layers, and documentation. It aims to automate data analysis tasks typically performed by human analysts, allowing business teams to get insights from their data quickly using natural language queries. The platform integrates with various components of the modern data stack to replicate interactions with a senior data scientist.
Key features and capabilities
- NATURAL LANGUAGE QUERIES, BI TOOL INTEGRATION, SEMANTIC LAYER COMPATIBILITY, METADATA ENGINE, AI-BOOSTED SEMANTIC LAYER, PYTHON-PROFICIENT LANGUAGE MODEL, SLACK INTEGRATION, AUTOMATED DATA ANALYSIS, HIPAA AND SOC 2 COMPLIANCE
Use cases
- SELF-SERVICE ANALYTICS, DATA DISCOVERY, BUSINESS INTELLIGENCE AUTOMATION, DATA SCIENCE WORKFLOW OPTIMIZATION, ENTERPRISE DATA MANAGEMENT