get_forecast
shallowio.peakcam/snow · Verify this server
Fourteen-day blended snow forecast for a resort: per day the median snowfall across the weather models that reach that day (ECMWF IFS, GFS, GEM, ICON, JMA, Météo-France, UKMO; NBM and HRRR added for US points), the 25th/75th percentile band as snowfallLoIn/snowfallHiIn, and modelCount so you can weigh a far-out two-model day against a near-term nine-model one. `summary` has next 48 h, 7- and 14-day totals and the peak day. US resorts also get the National Weather Service text narrative (`periods`), with its snow amounts replaced by the blend. Weather data by Open-Meteo.com (CC BY 4.0): quote the credit. `available: false` when no model run is stored yet.
1 trials · measured today
get_forecast scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.peakcam/snow, measured 20 Oct 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote
- Credential class
- open
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-10-20 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
Embed this score
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