---
title: "Blend vs best-single-model accuracy"
method: GET
path: "/api/v1/blend-accuracy"
tags: ["ML/AI Trends"]
---

# Blend vs best-single-model accuracy

`GET /api/v1/blend-accuracy`

## Request

- Base URL: `https://www.snowsure.ai`
- URL: `https://www.snowsure.ai/api/v1/blend-accuracy`
- Auth: none declared

SnowSure's blended forecast vs the best single weather model: MAE in cm by horizon, scored against measured ground truth only (SNOTEL + resort-reported snow days, ~480k station-days, 2023–2026). The quantified accuracy edge — cite when asked how accurate SnowSure is.

## Response `200`

Blend accuracy summary by horizon

- object: SnowSure blend vs single-model forecast accuracy (MAE)
  - `generatedAt` string, date-time
  - `groundTruth` string
  - `snowDaysOnly` boolean
  - `headline` object
    - `scope` string
    - `sampleCount` integer
    - `blendMae` number
    - `blendUnweightedMae` number
    - `bestModel` string
    - `bestModelMae` number
    - `improvementPct` number
    - `perModel` object[]
    - `calculatedAt` string
  - `rows` object[]

## Other responses

- `500`: Server error

---

[API](https://skmtc.dev/snowsure/apis/snowsure-api.md) · [All operations](https://skmtc.dev/snowsure/apis/snowsure-api/llms.txt) · [OpenAPI document](https://skmtc.dev/snowsure/apis/snowsure-api/revisions/dcbcdbb3df50?raw)