conKurrence
Multi-model rating for AI evaluation
conKurrence runs several AI models as independent raters over the same items and measures how far they agree — Fleiss' κ, Kendall's W, bootstrap confidence intervals, and self-consistency across repeated runs.
What agreement tells you: where your raters and your criteria are consistent, and where they are not — which items are contested, and whether disagreement comes from the criteria or the raters.
What it does not tell you: that the raters are right. Agreement is reliability, not validity. Models can agree confidently on a wrong answer. Use conKurrence to decide where an expert's judgment is needed and to diagnose your evaluation criteria — not to replace expert-labelled ground truth.
Status: maintenance mode. conKurrence is developed by JE Vectors LLC as the evaluation instrument behind Inqura. It is not accepting purchases and carries no support commitment.
npx conkurrence · CLI and MCP server · BUSL-1.1