Data & Analytics

Calibrates manuscript claim strength so wording matches the actual evidence level, study design, and validation status.

Turns reviewer comments into structured, professional point-by-point responses linked to manuscript revisions, clarifications, rebuttals, and additional analyses.

Run a submission-readiness preflight on a manuscript before arXiv upload. Use when the user is preparing an arXiv submission, asks to check a paper before uploading, mentions hallucinated or fake references, leftover LLM meta-comments / prompts in text, placeholder data (TODO, TBD, XX%), AI-use disclosure, scholarly integrity, research integrity, or arXiv moderation risk — even if they don't say \"preflight\". Also trigger on phrases like \"check my paper before arXiv\", \"verify my reference...

Detects missing or compiler-optimized zeroization of sensitive data with assembly and control-flow analysis

YARA-X detection rule authoring with linting and quality analysis

Systematic false positive verification for security bug analysis with mandatory gate reviews

Security-focused differential review of code changes with git history analysis and blast radius estimation

Detect compiler-induced timing side-channels in cryptographic code

Search and extract data from Burp Suite project files (.burp) for security analysis

Map strengths, weaknesses, opportunities, and threats. Combines internal and external factor analysis with cross-quadrant strategic moves (SO, WO, ST, WT strategies).

Analyze and design pricing strategies including pricing models, competitive pricing analysis, willingness-to-pay estimation, and price elasticity

Perform Porter's Five Forces analysis — competitive rivalry, supplier power, buyer power, threat of substitutes, and threat of new entrants

Define and design a product metrics dashboard with key metrics, data sources, visualization types, and alert thresholds

Perform cohort analysis on user engagement data — retention curves, feature adoption trends, and segment-level insights

Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations

Create, read, analyze, edit, and validate Excel spreadsheets with zero format loss

Generate and manipulate Excel spreadsheets for scientific data

Out-of-core DataFrame processing for billion-row scientific datasets

Dimensionality reduction and data visualization using UMAP

Statistical models, hypothesis tests, and econometric analysis

Model interpretability using SHAP values and feature importance analysis

Statistical data visualization with publication-ready aesthetics

Probabilistic models for single-cell omics data analysis

Machine learning model training, evaluation, and feature engineering