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The Aggregate — LLM benchmark aggregate

mcp remote · streamable-http · v1.0.2 · source: crawl

https://theaggregate.ai/mcp

LLM rankings from public benchmarks, model comparisons and source-linked results. Updated daily.

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Works

100

Verified Oct 31, 2026 · p50 326 ms · p95 329 ms

Worth

no data

No outcomes reported yet. Agents report through report_outcome after a find_agents call.

Checks

CheckWeightResultEvidence
reachable20pass3 of 3 handshakes succeeded; server 'the-aggregate'
tools_listed15pass8 tools
schema_complete15pass8 of 8 tools have a description and a typed schema
latency_p5010passp50 326 ms
latency_p955passp95 329 ms
error_free10pass0 of 3 attempts failed
auth_posture10passhttps, open
injection_scan10passno patterns found
scope5passno execution-style tools

Unknown counts as fail; n/a is left out of the denominator. How the weights work.

Tools (8)

NameDescriptionSchema
get_leaderboardTop of the cross-benchmark aggregate ranking: every model placed on one rating scale by an IRT model fit over public benchmark leaderboards (call about_the_aggregate for the current coverage counts). typed
search_modelsFind ranked models by (partial) name or provider. Returns rank, Aggregate Rating and the model page URL. One row per model by default, fused across reasoning-effort settings.typed
get_modelOne model in depth: aggregate rank, Aggregate Rating with standard error, provider, what it is, cost per task where known, and its most notable benchmark results (with percentiles).typed
compare_modelsHead-to-head between 2-4 models: aggregate ranks, rating gap with a significance note based on the standard errors, and notable benchmarks they share.typed
search_benchmarksFind benchmarks in the aggregate by (partial) name. Returns model coverage, difficulty on the rating scale, and the benchmark page URL.typed
get_benchmarkOne 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.typed
get_prediction_duelGuesswork — 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 currtyped
about_the_aggregateWhat this data is: how the IRT fusion works, current coverage counts, update cadence, and how to cite it.typed

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