SigRank — AI Operator Benchmarking MCP server

• benchmark_meFree

  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 metric, and a one-line interpretation. This is the human-question tool — use it when someone asks 'am I a power user?' or 'how do I compare?'.

• compare_to_fieldwrite actionFree

  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 SNR. Simple, useful, and immediately understandable.

• diagnose_cascadeFree

  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 creation ratio, input bloat, and 10xDEV compounding. Use this before simulate_change to understand what's wrong.

• field_anomalyFree

  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 extreme divergence. Powers automated micro-marketing and field insights.

• get_leaderboardFree

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

• get_operatorFree

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

• get_sigrank_standard_recordFree

  Build a SigRank Standard v0.1-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 @sigrank/cascade and does not submit or persist data.

• operator_gapFree

  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, velocity, SNR, and scale contributions. Returns the most explanatory factor.

• operator_signatureFree

  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; these labels are not the 10-type Build Archetypes reference extension.

• rank_ifFree

  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 specific pillar changes required, and the yield delta. This turns SigRank from a scoreboard into a simulator. Use it when someone asks 'what would move my rank?' or 'how do I get to top 10%?'.

• rank_pasteFree

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

• rank_windowsFree

  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.

• self_improvewrite actionFree

  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 + simulated impact of the best change. The 'one-click optimize' tool — call it at the end of a session to see what to improve next time.

• simulate_changeFree

  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 absolute numbers (replace) or strings starting with +/- for relative deltas.

• suggest_improvementsFree

  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 includes the action, pillar to change, projected Υ, yield delta, projected class, and rationale. Returns the single highest-impact change as best_single_change.

• who_operates_like_meFree

  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 you outperform them, and what separates you from the better operator. Makes the leaderboard feel like a network, not a list.

• –Code scanremote-only server, no package to scann/a
• Live reliabilityremote reachable in 1197ms20/20
• Tool poisoning16 tool descriptions checked15/15
• Auth qualityopen endpoint exposes 2 write-action tools with no auth3/15
• Maintenancelast push 5 days ago15/15
• Maintainer identitynamespace and repository owner differ; GitHub account older than a year; website matches verified namespace7/10

SigRank — AI Operator Benchmarking: common questions

Is SigRank — AI Operator Benchmarking MCP server safe?

Mostly: it is graded B (80/100). Read the SigRank — AI Operator Benchmarking safety report

How do I install SigRank — AI Operator Benchmarking?

It runs remotely at signalaf.com. Add it to Claude Code, Claude Desktop or Cursor with the snippets above, or call it through the mcp.market gateway without installing anything.

Does SigRank — AI Operator Benchmarking need an API key?

Not as far as the registry entry and our scan can tell: no credentials are declared or required.

Is SigRank — AI Operator Benchmarking maintained?

The last commit was 5 days ago (2026-09-16). The latest release is v1.0.0.

Is SigRank — AI Operator Benchmarking up?

100% of our last 8 checks got an answer. We check remote servers about four times a day.