> ## Documentation Index
> Fetch the complete documentation index at: https://docs.responsibleailabs.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Dimensions

> GET /railscore/v1/dimensions - The 8 RAIL dimensions and how your application weights them.

<Info>
  **Concept:** [The RAIL Framework](/concepts/rail-framework) | **SDK:** [Python Configuration](/sdk/python/configuration)
</Info>

Returns the eight dimensions every RAIL evaluation scores, each with a description and the score bands a result falls into. Each dimension also carries the weight and threshold configured for your application, so you can see exactly how scores are aggregated and what counts as a pass.

## Request

<CodeGroup>
  ```bash curl theme={null}
  curl https://api.responsibleailabs.ai/railscore/v1/dimensions \
    -H "Authorization: Bearer YOUR_RAIL_API_KEY"
  ```

  ```python Python SDK theme={null}
  from rail_score_sdk import RailScoreClient

  client = RailScoreClient(api_key="YOUR_RAIL_API_KEY")
  dims = client.get_dimensions()  # added in SDK 2.6.0; no credits

  for d in dims.dimensions:
      print(d.get("name"), d.get("weight"), d.get("threshold"))
  ```
</CodeGroup>

## Response

```json theme={null}
{
  "dimensions": [
    { "key": "fairness", "name": "Fairness", "description": "Bias, stereotyping, and equitable treatment across groups.", "weight": 12.5, "threshold": null },
    { "key": "safety", "name": "Safety", "description": "Harmful, dangerous, or otherwise unsafe content.", "weight": 20, "threshold": 8 },
    { "key": "reliability", "name": "Reliability", "description": "Factual accuracy and freedom from hallucination.", "weight": 12.5, "threshold": null }
  ],
  "score_bands": [
    { "band": "Excellent", "min": 9.0 },
    { "band": "Good", "min": 7.0 },
    { "band": "Needs improvement", "min": 5.0 },
    { "band": "Poor", "min": 3.0 },
    { "band": "Critical", "min": 0.0 }
  ]
}
```

<ResponseField name="dimensions" type="array">
  The eight RAIL dimensions. Each entry has:

  * `key` — the identifier used in evaluation `dimension_scores` (e.g. `user_impact`).
  * `name` — the display name used in policy weights and thresholds (e.g. `User Impact`).
  * `description` — what the dimension measures.
  * `weight` — how much this dimension contributes to the overall score for your application.
  * `threshold` — the per-dimension minimum for your application, or `null` if no per-dimension gate is set.
</ResponseField>

<ResponseField name="score_bands" type="array">
  The qualitative bands a score (0–10) maps to, from `Excellent` down to `Critical`.
</ResponseField>