Data & Analytics

Assess company readiness for construction industry uberization. Analyze data transparency, process automation, and competitive positioning against open data platforms.

Classify construction data by type (structured, unstructured, semi-structured). Analyze data sources and recommend appropriate storage/processing methods

Convert between construction measurement units. Handle metric/imperial conversion, area/volume calculations, and unit normalization for CWICR data.

Comprehensive Pandas toolkit for construction data analysis. Filter, group, aggregate BIM elements, calculate quantities, merge datasets, and generate reports from structured construction data.

Monitor solar weather conditions including geomagnetic storms, solar flares, aurora forecasts, and solar wind data. Uses NOAA Space Weather Prediction Center real-time data.

WHAT: Production-ready Node.js backend patterns - Express/Fastify setup, layered architecture, middleware, error handling, validation, database integration, authentication, and caching. WHEN: User is building REST APIs, setting up Node.js servers, implementing authentication, integrating databases, adding validation/caching, or structuring backend applications. KEYWORDS: nodejs, node, express, fastify, typescript, api, rest, middleware, authentication, jwt, validation, zod, postgres, mongodb, redis, caching, rate limiting, error handling

BrowserWing Executor provides comprehensive browser automation capabilities through HTTP APIs. You can control browser navigation, interact with page elements, extract data, and analyze page structure.

Read and manage Kubera.com portfolio data (net worth, assets, debts, allocation, holdings). Use when a user asks about their finances, net worth, portfolio, investments, holdings, asset allocation, or wants to update asset values in Kubera. Works with any AI agent or CLI that can run Python scripts.

Generate Prisma schema from plain English. Use when you need database models fast without writing boilerplate.

Query Polymarket prediction markets. Use for questions about prediction markets, betting odds, market prices, event probabilities, or when user asks about Polymarket data.

Profile construction data to understand characteristics, distributions, quality metrics, and patterns. Essential for data quality assessment and ETL planning.

Integrate open construction datasets. Combine open data sources for enhanced analysis