Download llms.txt files optimised for large language models. Feed them into ChatGPT, Claude, Cursor, or any AI coding assistant to give it full context about LedgerCore endpoints — methods, paths, parameters, and auth requirements — without pasting raw JSON specs.
ChatGPT / Claude: Upload the .txt file as an attachment, then ask questions like "How do I screen a Bitcoin transaction for sanctions risk?"
Cursor / Windsurf: Drop the file into your project root or reference it in .cursorrules for automatic API context.
Programmatic: curl {baseUrl}/api/v1/llms.txt — pipe it straight into your prompt pipeline.
Everything in one file. Best when you need the complete picture.
llms-ledgercore-full.txtThe complete LedgerCore API in a single llms.txt file. Includes every public endpoint across all portals — compliance, market data, treasury, asset integrity, and news. Use this when you want full API context in your LLM.
Targeted files for each API portal. Smaller context, more focused results.
llms-ledgerbrain.txtBlockchain intelligence, compliance, and entity management. Includes all endpoint paths, methods, summaries, and auth requirements formatted for LLM consumption.
llms-market-data.txtReal-time and historical cryptocurrency market data. Includes all endpoint paths, methods, summaries, and auth requirements formatted for LLM consumption.
llms-finance.txtCorporate treasury, stablecoin analytics, and cross-border flows. Includes all endpoint paths, methods, summaries, and auth requirements formatted for LLM consumption.
llms-xcap.txtXCAP staking pool analytics and asset integrity. Includes all endpoint paths, methods, summaries, and auth requirements formatted for LLM consumption.
llms-news-media.txtAggregated crypto news feeds from the top industry sources. Includes all endpoint paths, methods, summaries, and auth requirements formatted for LLM consumption.
The llms.txt files are generated from the same OpenAPI specs that power our interactive docs. Jump into Scalar to try endpoints live, or grab the raw JSON spec for code generation.