📊 SigRank Quarterly Report
Q1 2026
State of AI Operator Token Efficiency. Computed from live operator telemetry — 11 operators, 5 platforms.
Headline Findings
- 1.The median AI operator scores Υ 2, 41% below the top decile (Υ 3). (June 2026)
- 2.The top-ranked operator (MO§ES™) achieves Υ 566, 373.9× the median. (June 2026)
- 3.claude operators lead on yield, averaging Υ 115 vs. Υ 1 elsewhere. (June 2026)
- 4.Across all ranked operators, 18% of input tokens are served from cache on average. (June 2026)
Platform Breakdown
| Platform | Operators | Avg Yield (Υ) |
|---|---|---|
| claude | 5 | 115 |
| gemini | 2 | 2 |
| multi | 1 | 2 |
| pi | 2 | 1 |
| chatgpt | 1 | 0 |
Methodology
Figures are computed from the SigRank Index — a privacy-preserving leaderboard ranking AI operators by token-cascade efficiency (Υ = cache_read × output / input²). Data is built from on-device, ed25519-signed token-telemetry snapshots. No message content is ever read or stored. Full methodology at /methodology.
Cite this report
“According to the SigRank Index (Q1 2026), The median AI operator scores Υ 2, 41% below the top decile (Υ 3).”
signalaf.com/research/q1-2026
License
This report is licensed under CC-BY-4.0. Attribution required — cite as shown above.