📋 About This Resource
Purpose: This directory contains comprehensive, machine-readable information about FastTransfer designed for AI agents, large language models (LLMs), chatbots, and automated systems.
Format: JSON files following JSON Schema Draft 2020-12 with rich semantic metadata.
Use Cases: RAG systems, AI assistants, automated documentation, search engines, developer tools.
📄 Available Files
📑 Manifest
Index and catalog of all resources with AI usage guidance, context selection rules, and citation recommendations.
🎯 Product Overview
High-level product identity, tagline, key differentiators, target audience, and primary use cases.
⚡ Features Catalog
Detailed catalog of 9 core features: database transfers, file imports, parallel processing, schema mapping.
📊 Performance Benchmarks
Performance measurements, competitor comparisons (24M cells/sec, 30× speedup), and real-world examples.
🔌 Platform Compatibility
Comprehensive compatibility matrix: 12+ databases for transfers, 5 file import formats, OS support.
💼 Use Cases Library
8 primary use cases: database migrations, file imports, consolidation with real-world examples and CLI commands.
💰 Pricing Information
Company-based licensing model, cost comparisons vs competitors, ROI analysis, and FAQ.
🔧 Technical Specifications
Architecture design, CLI reference with 25+ parameters, connection strings, integration patterns.
📚 Additional Resources
- llms.txt - LLM-optimized discovery file (llmstxt.org format)
- README.md - Human-readable documentation
- FastTransfer Documentation - Full product documentation
- FastTransfer Website - Main website
🚀 Quick Start for AI Agents
Example: Fetch all data programmatically
# Fetch all knowledge base files curl https://fasttransfer.arpe.io/agents/manifest.json curl https://fasttransfer.arpe.io/agents/product-overview.json curl https://fasttransfer.arpe.io/agents/features.json curl https://fasttransfer.arpe.io/agents/benchmarks.json curl https://fasttransfer.arpe.io/agents/supported-platforms.json curl https://fasttransfer.arpe.io/agents/use-cases.json curl https://fasttransfer.arpe.io/agents/pricing.json curl https://fasttransfer.arpe.io/agents/technical-specs.json # Or use the llms.txt discovery file curl https://fasttransfer.arpe.io/llms.txt
✅ Key Facts
- Performance: 24M cells/second (30× faster than ETL tools)
- Databases (Source/Target): PostgreSQL, MySQL, Oracle, SQL Server, ClickHouse, SAP HANA, Teradata, Netezza, DuckDB, Snowflake, Redshift, BigQuery
- File Import Formats: CSV, Parquet, JSON, XLSX, BSON
- Transfer Types: Database-to-database, file-to-database, cross-platform migrations
- Licensing: Per company (not per-CPU/per-server)
- Last Updated: February 20, 2026