This host serves as a reference data layer for JMA-based weather integrations in Japan. It exposes a single skill that enumerates all 58 JMA forecast offices with their codes and names, enabling agents to resolve human-readable prefecture or region names into the numeric codes required by downstream JMA weather forecast endpoints. It does not itself provide forecasts or current conditions.
Copy the skill below, then add it on claude.ai under Skills → Create skill → Upload.
| Resource | Category | Quality | Tier | Txns | Volume |
|---|---|---|---|---|---|
Weather Areas https://weather.agentic-jp.com/areas | Data | 94 | host level | — | — |
Weather Overview https://weather.agentic-jp.com/overview/:area | 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://weather.agentic-jp.com 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://weather.agentic-jp.com --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.
| For | Via | Chain | Amount | Buyer | Tx | Time |
|---|---|---|---|---|---|---|
Weather Warnings https://weather.agentic-jp.com/warnings/:area |
| Data |
| — |
| host level |
| — |
| — |