KitScout

Categories › AI & Agents › Thinking, planning & prompt tools

SigRank — AI Operator Benchmarking

MCP serverVerified domain · signalaf.comRemote● LiveFree to try

SigRank benchmark MCP: cascade metrics, leaderboard, operator profiles, simulation, diagnostics.

Install

Remote server: your requests and data go to signalaf.com. Claude Code: claude mcp add --transport http sigrank-ai-operator-benchmarking https://signalaf.com/api/mcp · Claude app: Settings → Connectors → Add custom connector.

What it can do

The tools this server listed when we connected to it, in its own words.

  • 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 tteop/0.1-draft portable operator record from available token telemetry. Input and output are required; unavailable cache telemetry
  • get_leaderboard — Read the current public SigRank operator leaderboard. Returns ranked operators with Yield, Leverage, class tier, and display name. Profile t
  • get_operator — Read one public operator profile by codename. Returns class tier, rank, percentile, Yield, Leverage, Velocity, and SNR. Profile text fields
  • 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
  • rank_windows — Score up to 4 time windows (7d, 30d, 90d, all-time) in one call. Each window is scored independently with the full cascade (Υ, SNR, Leverage
  • benchmark_me — Answers 'How good am I?' — benchmarks your token cascade against the live field. Takes 4 token pillars (or a codename), computes your cascad
  • rank_if — Answers 'What would it take to reach a target rank?' — takes your current 4 token pillars and a target percentile (e.g. 90 for top 10%), the
  • operator_gap — Answers 'What specifically separates operator A from operator B?' — not just 'A has more Yield', but the primary cause, secondary cause, and
  • field_anomaly — Finds unusual operators, metric relationships, and outliers in the live leaderboard — without user prompting. Returns: highest velocity amon
  • who_operates_like_me — Finds operators whose operating signature most resembles yours. Takes 4 pillars or a codename, computes your signature, then searches the li
  • compare_to_field — Creates a 'YOU vs FIELD vs TOP 10% vs TOP 1%' comparison table for your cascade metrics. Takes 4 pillars or a codename, fetches the live lea
  • operator_signature — Computes a normalized operating signature from 4 token pillars or a codename. Returns a signature code, a legacy six-label signature_label,

KitScout test notes

Not tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.

Similar tools