Nerf Watch scores
get_nerfwatch_scoresRead-onlyIdempotent
Latest public Nerf Watch scores, previous runs, changes and baselines for at most 100 models, ordered by provider, name and model id. No arguments. Histories are available through get_nerfwatch_history. Scores and changes are rounded to two decimals; comparisons are within one suite version. A lower score is a lower score on this suite, not proof that a provider changed a model. Unofficial, not affiliated with OpenAI or Anthropic. Source: https://tokenusage.dev/nerfwatch
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| models | Yes | Models in source order: provider, name and model id; empty before the first run. | |
| source | Yes | The fixed credit URL, https://tokenusage.dev/nerfwatch. When showing the data to other people, show Data: tokenusage.dev linked to this URL on the same screen or in the same message. Personal use needs no visible credit. API and MCP relays must retain source and pass on this credit condition. | |
| flatPoints | Yes | An absolute change versus baseline at or below this returned setting is flat. | |
| generatedAt | Yes | When the cached data was read, ISO 8601 UTC; the cache TTL is 300 seconds from read start. | |
| baselineDays | Yes | The UTC-day window before each latest run used for its baseline; this is the returned setting, not a fixed client assumption. | |
| dataUpdatedAt | Yes | When the newest retained run was stored, ISO 8601 UTC; null without runs. This is distinct from response generation time. | |
| minBaselineRuns | Yes | The minimum number of same-suite runs needed for a baseline; this is the returned setting. |