Early access — cascade metrics are real (derived from canonical token telemetry); the operator field is a curated seed. Learn more about the data
📊 SigRank Research

Field Hub

The academic research hub for SigRank. This is where we document field analysis and publish dataset findings.

This section is where we document academic field analysis of the SigRank Index — the distribution of AI operator efficiency, the volume-vs-yield thesis, outlier detection, and the dataset that underpins every finding published on this site.

Each entry below is a primary source. The Field Analysis is the full visual article. The State of the Index is the dataset landing page with DOI, citation, and downloadable files.

📊 Field Analysis

Field Analysis

The true distribution of token efficiency. 1,498 human AI operators, outliers separated. Volume ranked. Yield revealed.

📊 SigRank Index

State of the Index

The primary anonymized dataset. 1,628 operators across 17 platforms and 3,304 models. 9.07Q total tokens. Available on Zenodo under CC-BY-4.0.