🤖 FastTransfer AI Agent Knowledge Base

Structured JSON data for AI agents, LLMs, and automated systems

📋 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

📚 Additional Resources

🚀 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