Der SigRank — AI Operator Benchmarking MCP-Server,
verbunden mit einem Klick.

“Nutze „rank_paste“: Calculate SigRank cascade metrics from four non-negative token counts without submitting data. Returns Yield, Leverage, Velocity, SNR, and 1.”

“Nutze „get_sigrank_standard_record“: Build a SigRank Standard v0.1-draft portable operator record from available token telemetry. Input and output are required; unavailable cach.”

“Nutze „get_leaderboard“: Read the current public SigRank operator leaderboard. Returns ranked operators with Yield, Leverage, class tier, and display name.”

“Nutze „get_operator“: Read one public operator profile by codename. Returns class tier, rank, percentile, Yield, Leverage, Velocity, and SNR.”

rank_paste — Calculate SigRank cascade metrics from four non-negative token counts without submitting data. Returns Yield, Leverage, Velocity, SNR, and 1

get_sigrank_standard_record — Build a SigRank Standard v0.1-draft portable operator record from available token telemetry. Input and output are required; unavailable cach

get_leaderboard — Read the current public SigRank operator leaderboard. Returns ranked operators with Yield, Leverage, class tier, and display name.

get_operator — Read one public operator profile by codename. Returns class tier, rank, percentile, Yield, Leverage, Velocity, and SNR.

simulate_change — Prescriptive 'what if' tool — takes your current 4 token pillars and proposed changes, runs the cascade on both, returns the exact Υ Yield d

diagnose_cascade — Analyzes your token cascade and diagnoses where you're leaking efficiency. Takes 4 token pillars and produces a ranked list of efficiency le

suggest_improvements — Generates ranked, simulated improvement suggestions for your token cascade. Takes 4 token pillars, tests multiple strategies (increase cache

self_improve — Runs the full self-improvement cycle in one call: (1) computes your current cascade from 4 token pillars, (2) diagnoses efficiency leaks, (3