🤖 FastBCP 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 FastBCP 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://fastbcp.arpe.io/agents/manifest.json
curl https://fastbcp.arpe.io/agents/product-overview.json
curl https://fastbcp.arpe.io/agents/features.json
curl https://fastbcp.arpe.io/agents/benchmarks.json
curl https://fastbcp.arpe.io/agents/supported-platforms.json
curl https://fastbcp.arpe.io/agents/use-cases.json
curl https://fastbcp.arpe.io/agents/pricing.json
curl https://fastbcp.arpe.io/agents/technical-specs.json

# Or use the llms.txt discovery file
curl https://fastbcp.arpe.io/llms.txt

✅ Key Facts

  • Version: 1.1
  • Performance: 24M cells/second (up to 33× faster than native tools)
  • Databases: PostgreSQL, MySQL, Oracle, SQL Server, ClickHouse, SAP HANA, Teradata, Netezza, MariaDB, DuckDB + ODBC/OLE DB (plus ADBC connectors for SQL Server and PostgreSQL)
  • Formats: CSV, TSV, Parquet, JSON, XLSX, BSON, PostgreSQL COPY (.bin); gzip variants for CSV/TSV/JSON
  • Cloud: AWS S3 (+ S3-compatible), Azure Blob/ADLS, Google Cloud Storage, Microsoft OneLake
  • OS: Windows, Linux (x64 + ARM64), macOS (via Docker)
  • Licensing: Standard 208€/month (30-day trial), Enterprise/OEM custom quote
  • Last Updated: July 22, 2026