com.signalaf/sigrank

up checked 2026-11-11T01:38:51.801Z

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Publisher-provided title

SigRank — AI Operator Benchmarking

Publisher-provided description

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

Summary by lookupd

Benchmarks token cascade efficiency against a public leaderboard, with diagnostics, simulations and rank-target projections for AI…

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http sigrank https://signalaf.com/api/mcp

Codex, remote (streamable-http)

codex mcp add sigrank --url https://signalaf.com/api/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "sigrank": {
      "url": "https://signalaf.com/api/mcp"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (16 tools)

Publisher-provided text

• 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 pe
• 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. Comput
• get_leaderboard Read the current public SigRank operator leaderboard. Returns ranked operators with Yield, Leverage, class tier, and display name. Profile text fields (display_
• get_operator Read one public operator profile by codename. Returns class tier, rank, percentile, Yield, Leverage, Velocity, and SNR. Profile text fields (display_name, coden
• 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,
• 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 (c
• suggest_improvements Generates ranked, simulated improvement suggestions for your token cascade. Takes 4 token pillars, tests multiple strategies (increase cache reads, reduce input
• 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 i
• 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,
• 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 aga
• 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 smal
• 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
• field_anomaly Finds unusual operators, metric relationships, and outliers in the live leaderboard — without user prompting. Returns: highest velocity among below-median lever
• 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 t
• 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 return
• 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

Details

• Version: 1.0.0
• Transports: streamable-http
• Uptime (7 days): 75%
• Median latency: 1307 ms
• First indexed: 2026-11-01T08:58:15.142Z
• Last seen in registry: 2026-11-01T08:58:15.142Z
• Repository: https://github.com/SunrisesIllNeverSee/sigrank-app
• Website: https://signalaf.com

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