Data

Unit Economics analyzes per-customer profitability using structured financial data. Use it to estimate CAC, LTV, churn, gross margin, contribution margin, payback period, and cohort economics.

What If analyzes stock scenarios using structured financial data. Use it to build base, bull, and bear cases and test sensitivity to revenue, costs, margins, rates, currency, and commodity prices.

PromQL CLI queries Prometheus-compatible backends for instant and range queries, metric discovery, and tabular, CSV, JSON, or graph output. Use it when inspecting latency, errors, saturation, or other time series data.

Quick Stats generates an inline EMA 10/20 backtest and prints key performance metrics for a symbol. Use it in a notebook cell or console when you want a fast summary without creating files.

Strategy Compare generates a side-by-side backtest table for multiple strategies on the same symbol. It can also compare long, short, and benchmark results and plot overlaid equity curves.

VectorBT Backtesting Expert backtests trading strategies, generates entry and exit signals, and analyzes portfolio performance with benchmarks. Use it for parameter optimization, drawdowns, equity curves, position sizing, and trade analysis.

Anti Gambling Trader analyzes trading records to judge whether profits look like repeatable edge or luck and survivorship bias. It also scans scam text, checks guru claims, forensics fake statements, simulates blow-up risk, and generates reports or bot scaffolds.

Query Writing writes and executes SQL SELECT queries for single-table lookups, joins, aggregations, and reports. Use it when you need to retrieve or filter database data without modifying records.

Schema Exploration lists tables, columns, data types, keys, and foreign key relationships in a database. Use it when you need to inspect schema structure, ERD links, or understand how entities relate.

Head Of Data creates analytics reports, dashboards, and ad hoc queries through nao MCP tools. Use it to answer data questions or build persistent conversations and stories with ask_nao.

ML Experiment Journal keeps a persistent log of experiment hypotheses, results, and lessons across sessions. Use it before, during, and after ML runs to track what changed and what was learned.

Capacity Planning Analysis estimates capacity needs, headroom, and scaling triggers from workload and growth assumptions. Use it to review an existing plan or produce a bounded first pass when evidence is incomplete.