ai.theaggregate/the-aggregate
name:ai.theaggregate/the-aggregate
Fused LLM rankings: one IRT/Elo scale across ~5,000 public benchmark leaderboards, updated daily.
- transport:
- remote
- credential class:
- open
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- about_the_aggregateshallow
What this data is: how the IRT fusion works, current coverage counts, update cadence, and how to cite it.
- compare_modelsshallow
Head-to-head between 2-4 models: aggregate ranks, Elo gap with a significance note based on the standard errors, and notable benchmarks they share.
- get_benchmarkshallow
One benchmark in depth: what it measures, the original source leaderboard URL, IRT stats (difficulty, noise, model coverage), skill weights, and the current top models on it.
- get_leaderboardshallow
Top of the cross-benchmark aggregate ranking: every model placed on one Elo scale by an IRT model fit over ~5,000 public benchmark leaderboards. One row per model by default, fused across reasoning-effort settings. Supports paging via limit/offset.
- get_modelshallow
One model in depth: aggregate rank, Elo with standard error, provider, what it is, cost per task where known, and its most notable benchmark results (with percentiles).
- get_prediction_duelshallow
Guesswork — the public prediction duel: every day frontier LLMs and The Aggregate's own IRT model predict newly scraped benchmark scores before seeing them, and the errors are scored. Returns the current monthly standings, wins and losses included.
- search_benchmarksshallow
Find benchmarks in the aggregate by (partial) name. Returns model coverage, difficulty on the Elo scale, and the benchmark page URL.
- search_modelsshallow
Find ranked models by (partial) name or provider. Returns rank, Elo and the model page URL. One row per model by default, fused across reasoning-effort settings.
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