Machine-readable
Structured JSON data about LakeXpress, for AI agents, LLMs, RAG systems and other automated consumers. Everything here is public, unauthenticated and free to fetch.
← Back to lakexpress.arpe.ioPurpose: machine-readable information about LakeXpress, the command-line tool that exports database tables to Parquet on local disk or cloud storage and publishes them to cloud data platforms.
Product version covered: LakeXpress 0.4.10.
Format: JSON files following JSON Schema Draft 2020-12.
Use cases: RAG systems, AI assistants, automated documentation, search engines, developer tools.
Index of every resource, with context-selection rules, command rules and citation guidance for AI systems.
What LakeXpress is, its four-component architecture, how it uses FastBCP, differentiators and target audience.
Sync configurations, parallel export, incremental sync, publishing, resume, filtering, CDM metadata and logging.
The three customer results shown on the website, what is not published, and the parameters that affect speed.
Source databases, storage backends, publishing targets with external and internal support, LakeXpress DB backends, operating systems.
Scenarios with problem, solution and complete commands: local export, data lake, Snowflake, Databricks, Fabric, Glue, incremental syncs, resume.
Standard, Enterprise and OEM plans, the trial, how the licence is supplied at runtime, and a pricing FAQ.
Commands and options, the credentials file, export methods, exit codes, LakeXpress DB tables and log files.
lakexpress — teaches an assistant to build, explain and troubleshoot LakeXpress pipelines. Claude Code: /plugin install lakexpress --marketplace arpe-io/arpeio-skills (docs)arpeio-mcp — tools that build, validate and, on a local install, run LakeXpress commands. Hosted: https://arpe-io-arpeio-mcp.hf.space/sse; local: pip install arpeio-mcp (docs)# Fetch the whole knowledge base curl https://lakexpress.arpe.io/agents/manifest.json curl https://lakexpress.arpe.io/agents/product-overview.json curl https://lakexpress.arpe.io/agents/features.json curl https://lakexpress.arpe.io/agents/benchmarks.json curl https://lakexpress.arpe.io/agents/supported-platforms.json curl https://lakexpress.arpe.io/agents/use-cases.json curl https://lakexpress.arpe.io/agents/pricing.json curl https://lakexpress.arpe.io/agents/technical-specs.json # Or start from the discovery file curl https://lakexpress.arpe.io/llms.txt