3. Data, Science & AI

Automates end-to-end machine learning pipelines including data processing, model training, validation, and deployment.

Provides techniques for evaluating and enhancing AI agent outputs through self-critique, rubric-based systems, and iterative refinement pipelines.

Creates and implements analytics tracking systems, conversion measurement, and dashboards to enable data-driven decision making.

Enables intelligent planning and coordination of multiple agents for complex multi-step tasks through decomposition, dependency mapping, and dynamic execution strategies.

Creates 10 AI prompt variants for a topic using structured frameworks (ICIO, CRISPE, etc.) with strict formatting and best prompt selection.

Generates evaluation configuration files (evaluator.toml, judgment.toml) for defining scoring criteria and judgment logic in MixSeek submissions.

Displays LLM model lists with compatibility and recommended settings via API.

Creates MixSeek team configuration files (team.toml) defining Leader and Member agent structures for AI team workflows.

Creates MixSeek prompt builder configuration (prompt_builder.toml) for structuring AI prompts and round-specific interactions.

Provides anonymization tools for research and data analysis, ensuring data privacy while maintaining analytical integrity.

AI-powered restoration of vintage and blurry photos to 8K resolution while preserving original identity.

Analyzes gptme conversation history to provide insights on token usage, costs, model preferences, and usage patterns, inspired by Spotify Wrapped.

Real-time detection of profitable cryptocurrency arbitrage opportunities across multiple exchanges and DEXs through market data analysis.

Analyzes NFT collections to compute rarity scores and floor prices using marketplace data.

Tracks multi-chain cryptocurrency portfolios in real-time, providing valuations and performance metrics for holdings across various blockchains.

Analyzes cryptocurrency market sentiment by processing social media, news, and on-chain data to identify trends and mood.

Monitors real-time cryptocurrency prices across exchanges, providing historical data and customizable price alerts.

Automates SQL stored procedure creation with comprehensive guidance for database function development.

Tracks large cryptocurrency transactions and wallet movements across multiple blockchains for real-time market insights.

Analyzes decentralized exchange (DEX) liquidity pool metrics including Total Value Locked (TVL), trading volume, fee revenue, and impermanent loss.

Identifies significant price movements and unusual volume in cryptocurrency markets to track market movers.

Predicts optimal gas prices and transaction timing to minimize blockchain transaction costs for users.

Monitors blockchain mempools for pending transactions, front-running, and MEV opportunities.

Backtests cryptocurrency trading strategies using historical market data to evaluate performance metrics and validate strategy effectiveness.