SigRank — AI Operator Benchmarking

Last 30 days

Uptime

100%

Response time

1.1 s typical, 1.4 s slowest 5%

Last check

6 h ago

Next check

any minute now

How to call it

Add it to any MCP client that supports remote servers.

{
  "mcpServers": {
    "sigrank-ai-operator-benchmarking": {
      "type": "http",
      "url": "https://signalaf.com/api/mcp"
    }
  }
}

16 tools

• rank_paste

  Calculate SigRank cascade metrics from four non-negative token counts without submitting data. Returns Yield, Leverage, Velocity, SNR, and 10xDEV. No data is persisted.

• 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 remains null. Computes only the five-metric portable core through token-cascade and does not submit or persist data.

• 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 delta, class change, and per-metric diffs. Test proposed pillar changes and see the payoff before changing your workflow. Changes can be abso

• diagnose_cascade

  Analyzes your token cascade and diagnoses where you're leaking efficiency. Takes 4 token pillars and produces a ranked list of efficiency leaks with severity (critical/warning/info), findings, recommendations, and estimated Υ impact. Checks: cache leverage, velocity, SNR, cache c

• suggest_improvements

  Generates ranked, simulated improvement suggestions for your token cascade. Takes 4 token pillars, tests multiple strategies (increase cache reads, reduce input, increase output, optimize cache creation), simulates each, and returns them ranked by Υ yield impact. Each suggestion

• 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) generates ranked improvement suggestions, (4) simulates the top suggestion, and (5) returns the complete cycle: diagnosis + suggestions +

• 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, Velocity, 10xDEV, class). Omit windows you don't have — partial input is allowed (1-4 windows). Does NOT submit to the board.

• benchmark_me

  Answers 'How good am I?' — benchmarks your token cascade against the live field. Takes 4 token pillars (or a codename), computes your cascade, then compares against the live leaderboard: percentile, rank, distance from median, distance from top 10%, strongest metric, weakest metr

• 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%), then simulates the smallest metric changes needed to reach that position. Returns: current rank/percentile, simulated rank/percentile, the spec

• operator_gap

  Answers 'What specifically separates operator A from operator B?' — not just 'A has more Yield', but the primary cause, secondary cause, and offsetting weakness. Takes two codenames or two sets of pillars, computes both cascades, and decomposes the yield gap into leverage, veloci

• field_anomaly

  Finds unusual operators, metric relationships, and outliers in the live leaderboard — without user prompting. Returns: highest velocity among below-median leverage operators, only top-50 operator with near-zero cache write, largest 30-day yield improvement, rarest signature, and

• who_operates_like_me

  Finds operators whose operating signature most resembles yours. Takes 4 pillars or a codename, computes your signature, then searches the live leaderboard for the nearest neighbors by signature distance. Returns: nearest operators, similarity %, where they outperform you, where y

• 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 leaderboard, and returns your metrics alongside field median, top quartile, top decile, and top percentile for yield, leverage, velocity, and S

• operator_signature

  Computes a normalized operating signature from 4 token pillars or a codename. Returns a signature code, a legacy six-label signature_label, dominant trait, and closest comparable operators from the live board. The deprecated archetype field is retained as a compatibility alias; t

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