3. Data, Science & AI

Enables causal reasoning for agent actions to predict outcomes, debug failures, and analyze historical data from observable events.

Real-time flight tracking and scheduling service using OpenSky Network data. Allows users to query live flights by region, callsign, airport, or schedule.

Accesses ecobee thermostat data via Beestat API to provide real-time temperature, humidity, air quality, and HVAC usage information.

Extracts text and layout from images and PDFs using AI, particularly effective for handwriting and complex forms via LLMWhisperer API.

Integrates Fitbit health data via API to fetch metrics and generate automated health reports and alerts.

Retrieves real-time stock prices, fundamentals, earnings, and financial metrics from Yahoo Finance using the yfinance library without API keys.

Local search/indexing CLI using BM25, vector search, and reranking for efficient semantic data retrieval and AI-powered search applications.

Generates WHO child growth charts (height, weight, BMI) with percentile curves using official reference data for pediatric growth tracking.

Fetches real estate listing data from Idealista by location, providing details for market analysis and research.

Automates optimal AI model selection across providers (OpenAI, Anthropic, etc.) based on task, cost, and quality with secure key management.

Switch between AI models (Claude, Codex, Gemini) via CLI for second opinions and model-specific assistance without tab switching.

Automates data source reconciliation with stable identifiers, generating exception reports for mismatches and non-joins to prevent silent failures.

Executes Python code iteratively with verification to ensure accurate results, avoiding LLM guessing in data analysis and code execution tasks.

Monitors viral presence in Vienna's wastewater using sentinel systems and data analytics for public health surveillance.

Enables knowledge graph management via Graphiti API, including fact search, episode addition, and entity/relationship extraction.

Delivers real-time Vienna public transport data including departures, schedules, disruptions, and directions for U-Bahn, trams, and buses.

Provides token-efficient agent discovery and lazy loading to reduce context usage by 95% compared to direct agent loading.

Analyzes conversation history to extract corrections and success patterns, encoding learnings into agent definitions for permanent improvement.

Generates bash scripts to automate AI agent loops for code planning and building using structured markdown files (PROMPT.md, AGENTS.md).

Queries Fitbit health data including sleep, heart rate, activity, SpO2, and breathing rate for user health metrics.

Provides access to Pollinations.ai API for generating text, images, videos, audio, and analysis using 25+ AI models with OpenAI-compatible endpoints.

Local speech-to-text engine using NVIDIA Parakeet for fast, accurate transcription of audio files without cloud dependency.

AI-powered tool streamlining government procurement compliance, tendering, and strategic alignment for UAE Vision 2030 and Saudi National AI Strategy 2031 projects.

Manages persistent memory across user sessions to enable continuity in conversations, allowing users to reference past interactions and continue discussions seamlessly.