3. Data, Science & AI

Provides Bayesian survival analysis models including exponential, Weibull, log-normal, and piecewise exponential with censoring support.

Automates retrieval and formatting of game simulation logs by ID for data analysis purposes.

Adds or updates vectors in vector storage for Agentuity cloud platform, requiring authentication for secure data operations.

Executes authenticated SQL queries on Agentuity cloud platform databases for data retrieval and management.

Deletes a vector namespace and all associated vectors from Agentuity's cloud platform. Requires authentication for secure data management.

Provides deep methodology knowledge for ML-NMR, including IPD/AgD integration, population adjustment, and numerical integration for predicting outcomes in target populations.

Provides survival analysis methods: weighted logrank, MaxCombo, RMST, and milestone tests for time-to-event data with non-proportional hazards.

Provides AI-powered noise cancellation for clear meeting audio and offers real-time transcription and summarization features.

Provides statistical methods for clinical trial design with interim analyses, alpha spending functions, and futility stopping criteria.

Queries PubMed and scientific databases for protocols and biological data analysis using Biopython, with HIPAA compliance and cross-validated results.

Enables structured querying and analysis of Building Information Modeling (BIM) data for construction and engineering data insights.

Designs and manages ontologies and schemas for Building Information Modeling (BIM) to structure domain knowledge and enable semantic data integration.

Offers comprehensive STC methodology guidance for conducting and reviewing analyses, covering outcome regression, effect modifiers, covariate centering, and MAIC comparison.

Reference for multiple testing procedures in clinical trials, including multiplicity adjustments, gatekeeping, and graphical approaches.

Provides structured workflow patterns for ITC analysis projects using TMwR principles, emphasizing reproducibility and data validation.

Provides comprehensive methodology for network meta-analysis, covering transitivity, consistency, treatment rankings, and model selection.

Retrieves vector storage statistics (usage, performance) for AI/ML applications on Agentuity cloud platform.

Provides Bayesian regression models including linear, logistic, Poisson, negative binomial, and robust regression using Stan and JAGS.

Monitors and analyzes social media data for brand intelligence, delivering market trend and audience sentiment insights.

Provides core Mediana package functions for designing data models, analysis models, and running clinical trial simulations in Clinical Scenario Evaluation (CSE).

Tracks and visualizes WHOOP health metrics including HRV, recovery scores, and strain for performance optimization.

Optimizes context loading for AI models to reduce token usage, especially in large codebases or when context limits are reached.

Accesses TD Ameritrade investment accounts, thinkorswim trading data, and research reports for financial analysis.

Delegates implementation and research tasks to external AI agents, reducing token usage and context overhead in user interactions.