This host is a narrow, Toronto-specific weather data provider. It serves agents that need a zero-configuration way to retrieve current environmental conditions for Toronto without constructing location queries or managing API keys for a general-purpose weather service. Its scope is intentionally limited to one city and one point in time.
Copy the skill below, then add it on claude.ai under Skills → Create skill → Upload.
| Resource | Category | Quality | Tier | Txns | Volume |
|---|---|---|---|---|---|
Agnichub Weather API https://api.agnichub.xyz/v1/custom/weather | Data | 15 | unique payto | 18 | $0.18 |
Toronto Weather+ API https://api.agnichub.xyz/v1/custom/toronto-weather/* | Data | 92 | 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://api.agnichub.xyz 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://api.agnichub.xyz --json`. Heads up: 1 route is scoring below 50 — 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 |
|---|---|---|---|---|---|---|
AAPL Historical Time Series https://api.agnichub.xyz/v1/custom/historical-market-timeseries/AAPL |
| Data |
95 |
| host level |
| — |
| — |