This host is a thin wrapper over public Lichess API endpoints, serving agents that need chess puzzle content or player profile data. It targets use cases like displaying the daily puzzle, assessing a player's rating across time controls, or pairing puzzle difficulty against a known player's skill level. It does not support game history retrieval, move validation, bulk lookups, or any chess engine interaction.
Copy the skill below, then add it on claude.ai under Skills → Create skill → Upload.
| Resource | Category | Quality | Tier | Txns | Volume |
|---|---|---|---|---|---|
Chess User Lookup https://chess402.vercel.app/api/user | Data | 86 | host level | — | — |
Daily Chess Puzzle https://chess402.vercel.app/api/puzzle/daily | Other | 96 | host level | — | — |
Cloud Chess Eval https://chess402.vercel.app/api/cloud-eval | AI | — | host level | — | — |
Chess Masters API https://chess402.vercel.app/api/masters | Data | — | host level | — | — |
Paste the prompt below to your coding agent. It runs a real paid test on every route, fixes what scores low, and re-auditions until they pass — the gaps below are already filled in for you.
Make my x402 API at https://chess402.vercel.app discoverable on x402gle. Read the instructions at https://x402gle.com/agent.md and follow them end to end. Install the OpenDexter CLI, then run `npx @dexterai/opendexter audition https://chess402.vercel.app --json`. Heads up: 2 routes have never been scored — start there. Read the score and fixInstructions for every route, fix my OpenAPI and endpoints until each route passes, and re-audition until it does. A passing audition lists my API automatically.
New to this? How agent-first onboarding works.
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