AnoMod
Summary
AnoMod is a multimodal anomaly-detection and root-cause-analysis dataset for microservice systems. It combines logs, metrics, distributed traces, API responses, and code coverage reports.
Official Artifacts
- arXiv: https://arxiv.org/abs/2601.22881
- Official dataset: https://zenodo.org/records/18342898
- Official code: https://github.com/EvoTestOps/AnoMod
- Dataset metadata snapshot: anomod-2026
Dataset Shape
AnoMod is built on SocialNetwork and TrainTicket. It reports 24 anomaly cases across performance, service, database, and code levels, with scale statistics for logs, traces, metrics, API requests, and code coverage.
Role In The Wiki
AnoMod is a strong benchmark for multimodal AD/RCA and fine-grained code-region diagnosis. It is not primarily a forecasting benchmark.