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Webacy documentation is designed to be AI-native. Whether you’re building autonomous agents, using AI coding assistants, or feeding context into LLMs, there are multiple ways to access Webacy’s API documentation programmatically.

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Complete Documentation for LLMs

Webacy publishes a plain-text version of the entire documentation site, optimized for LLM consumption and RAG systems.
FileDescription
llms.txtLightweight index of all pages with titles and descriptions
llms-full.txtFull text of every documentation page in a single file
Use llms-full.txt to:
  • Build RAG pipelines that answer questions about Webacy’s API
  • Seed AI agents with complete API knowledge
  • Create custom chatbots for your team’s integration workflow
# Download the full docs for your RAG system
curl -o webacy-docs.txt https://docs.webacy.com/llms-full.txt

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Per-Page AI Access

Every documentation page has built-in AI options. Click the contextual menu on any page to:
  • Copy the page content as markdown
  • Open in Claude to discuss the page with Claude
  • Open in ChatGPT to discuss the page with ChatGPT
  • Open in Cursor to use the page as context in Cursor
You can also append .md to any page URL to get the raw markdown content. For example: 
https://docs.webacy.com/api-reference/introduction.md

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OpenAPI Specification

The full OpenAPI 3.0 spec is published at: 
https://docs.webacy.com/openapi.json
Feed this to AI tools for automatic code generation, SDK creation, or API client scaffolding: 
# Generate a TypeScript client with an AI coding assistant
# Provide the spec as context:
curl -o webacy-openapi.json https://docs.webacy.com/openapi.json

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Cursor Integration

Add Webacy docs as a documentation source in Cursor for inline context while coding. Step 1: Open Cursor Settings > Features > Docs Step 2: Click “Add new doc” and enter: 
https://docs.webacy.com
Step 3: Use @Docs in Cursor chat to reference Webacy documentation: 
@Docs How do I check if a wallet is sanctioned using the Webacy API?
You can also add the Agent Reference page directly to your project’s .cursorrules file for persistent context.

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Claude Code / CLAUDE.md

For projects using Claude Code, add the Agent Reference to your CLAUDE.md file so Claude always has Webacy API context: 
# Download the agent reference and append to your CLAUDE.md
echo "\n## Webacy API Reference\nSee: https://docs.webacy.com/integrations/agent-reference\n" >> CLAUDE.md
Or copy the content from the Agent Reference page directly into your CLAUDE.md for offline access.

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MCP Server

For the deepest AI integration, connect your AI coding assistant directly to Webacy’s API using the Model Context Protocol (MCP). This lets tools like Claude Code and Cursor query live blockchain risk data without leaving your editor.

MCP Server Setup

Connect Claude Code or Cursor to Webacy’s live risk analysis tools
 The documentation site includes built-in AI-powered search. Use the search bar on any page to ask natural language questions about the API, and get AI-generated answers grounded in the documentation.

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Quick Reference

MethodBest For
llms-full.txtRAG systems, bulk ingestion, agent training
Agent ReferenceAI coding assistants, CLAUDE.md, .cursorrules
MCP ServerLive data queries from your editor
OpenAPI specCode generation, SDK scaffolding
Per-page AI buttonsAd-hoc questions about specific pages
AI SearchQuick natural language lookups