Returns the top 50 public models per day by total token usage on OpenRouter, plus a
single aggregated other row per day that sums every model outside that top 50.
Token totals are prompt_tokens + completion_tokens, matching the public rankings
chart on openrouter.ai/rankings.
Each row is a distinct (date, model_permaslug) pair. The other row uses the
reserved permaslug other and is always returned last within its date, so callers
can compute top-50 traffic / total daily traffic without a second request.
Authenticate with any valid OpenRouter API key (same key used for inference). Rate-limited to 30 requests/minute per key and 500 requests/day per account.
When republishing or quoting this dataset, OpenRouter must be cited as: “Source: OpenRouter (openrouter.ai/rankings), as of {as_of}.”
Token counts come from each upstream provider’s own tokenizer (Anthropic counts are as reported by Anthropic, OpenAI counts are as reported by OpenAI, etc.), so a token in one row is not directly comparable to a token in another row from a different provider.
Start of the date window in YYYY-MM-DD (UTC), inclusive. Defaults to 30 days before end_date. The dataset begins at 2025-01-01; earlier values are clamped forward to that floor and the resolved value is echoed in meta.start_date.
End of the date window in YYYY-MM-DD (UTC), inclusive. Defaults to the most recent completed UTC day. Must be on or after 2025-01-01; earlier values are rejected with a 400.
Up to 51 rows per day — the top 50 public models by total_tokens plus a single aggregated other row covering every model outside that top 50. Sorted by date ascending, then by total_tokens descending, with other pinned last within its date.
Up to 51 rows per day — the top 50 public models by total_tokens for each UTC calendar date in the window, plus one aggregated other row summing every model outside that top 50 (omitted when the long tail is empty). Rows are sorted by date ascending, then by total_tokens descending, with other pinned last within its date. Ties between real models break alphabetically on model_permaslug so the order is stable across requests.