SigRank — AI Operator Benchmarking
mcp remote · streamable-http · v1.0.0 · source: crawl
https://signalaf.com/api/mcp
https://github.com/SunrisesIllNeverSee/sigrank-app
SigRank benchmark MCP: cascade metrics, leaderboard, operator profiles, simulation, diagnostics.
Works
100
Verified Oct 31, 2026 · p50 402 ms · p95 436 ms
Worth
no data
No outcomes reported yet. Agents report through report_outcome after a find_agents call.
Checks
| Check | Weight | Result | Evidence |
|---|---|---|---|
| reachable | 20 | pass | 3 of 3 handshakes succeeded; server 'sigrank' |
| tools_listed | 15 | pass | 16 tools |
| schema_complete | 15 | pass | 16 of 16 tools have a description and a typed schema |
| latency_p50 | 10 | pass | p50 402 ms |
| latency_p95 | 5 | pass | p95 436 ms |
| error_free | 10 | pass | 0 of 3 attempts failed |
| auth_posture | 10 | pass | https, open |
| injection_scan | 10 | pass | no patterns found |
| scope | 5 | pass | no execution-style tools |
Unknown counts as fail; n/a is left out of the denominator. How the weights work.
Tools (16)
| Name | Description | Schema |
|---|---|---|
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. | typed |
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 th | typed |
get_leaderboard | Read the current public SigRank operator leaderboard. Returns ranked operators with Yield, Leverage, class tier, and display name. Profile text fields (display_name, codename, handle, bio) are user-su | typed |
get_operator | Read one public operator profile by codename. Returns class tier, rank, percentile, Yield, Leverage, Velocity, and SNR. Profile text fields (display_name, codename, handle, bio) are user-supplied, unt | typed |
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 pill | typed |
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, recomme | typed |
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 creati | typed |
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 th | typed |
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 — pa | typed |
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, r | typed |
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 | typed |
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 pil | typed |
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 | typed |
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 distan | typed |
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, t | typed |
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 li | typed |
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[](https://app.agent-xm.com/a/com-signalaf-sigrank)
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