3. Data, Science & AI

Optimizes AI prompt templates through iterative analysis of evaluation failures and instruction refinement for improved model performance.

Provides Bitcoin mining profitability calculations, interactive charts, and real-time data dashboard for financial analysis.

Provides comprehensive support for building, managing, and deploying AI applications using the Venice AI framework.

Provides a decentralized database protocol with zero-knowledge proofs for privacy and permanent storage on Arweave blockchain.

Python library for parsing PDF, DOCX, and 10+ document formats with layout understanding and AI framework integrations.

Provides fundamental exploratory data analysis capabilities for pandas DataFrames, including summary statistics and visualization.

Provides real-time weather information for any global location based on user queries about current conditions or forecasts.

Manages autonomous agents: spawning, cancellation, listing, and result checking for AI agent workflows.

Provides tools for evaluating AI agent performance, including test frameworks, rubrics, and LLM-as-judge for multi-dimensional quality assessment.

Manages autonomous AI agents including spawning, starting, canceling, listing, and checking results for agent-based workflows.

Manages AI agent sessions including listing, details, handoff, message search, and resuming work.

Displays token usage, cost metrics, and budget status for Gobby service via gobby-metrics upon user request.

Manages AI agent sessions including listing, details, context handoff, message search, and session resumption.

Enables AI agents to discover available tools and capabilities through progressive disclosure when initial tool discovery fails.

Provides PostgreSQL performance optimization best practices including query tuning, schema design, and configuration guidance.

Queries local WhatsApp SQLite database to retrieve message history, contacts, and media via SQL.

Processes images, videos, and documents with natural language commands via VLM Run CLI and Orion visual AI agent.

Injects pre-processed knowledge from agent artifacts into session context for context-aware AI agent operations.

Monitors knowledge flywheel health by tracking velocity, pool depth, and staleness to ensure continuous knowledge compounding.

Optimizes Claude agent discovery and lazy loading to reduce token consumption by 95% in AI workflows.

Verifies data or content by dispatching multiple AI agents, determining consensus ratios, and cross-checking exclusive findings.

Loads global agent rules from markdown configuration files to initialize session behavior for AI agents.

Provides semantic search and vector embedding capabilities using Cloudflare AI Search within Cloudflare Workers for AI-powered data retrieval.

Offers a unified interface to AI providers with caching, rate limiting, and analytics for efficient AI service management.