AI Integration
Vulcx provides resources optimized for AI agents and LLM-powered tools.
Resources
How to use
For LLM agents (Cursor, Claude Code, Windsurf, etc.)
- Fetch
/llms-full.txt to get the complete API reference in one file (parameters, schemas, errors, code examples).
- Or fetch
/llms.txt for a page index, then read specific pages as needed.
- Use
/skill.md as a playbook for making API calls. It has decision trees, response schemas, and error recovery.
For automated integrations
- Fetch
/api-reference/openapi.json for the machine-readable spec.
- Read
/skill.md for the intent → endpoint decision tree.
- Use the parameter tables and error recovery flows to build robust integrations.
llms.txt
The llms.txt file follows the llms.txt standard. It contains a one-line summary of every docs page with its URL, optimized for LLM context windows.
skill.md
The skill.md file is a structured playbook that helps AI agents:
- Route intents. “swap FOGO for USDC” →
GET /quote then POST /swap
- Choose parameters. Which fields are required, what defaults to use
- Handle errors. What to do when a quote returns “no route found”
- Compose flows. Multi-step workflows like quote → build → sign → submit
Last modified on August 31, 2026
