Endpoint Management Agent Health Anomaly Evaluation Dataset
- Records
- 4500
- Size
- 0.5GB
- Format
- JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-05
Covers multivariate time series for endpoint management and security agents, including heartbeat intervals, policy synchronization, signature or rule updates, scan activity, service status, and telemetry reporting. Records are labeled for events such as agent unavailability, stale state, and functional anomalies. The data supports evaluation of agent health monitoring, anomaly detection, and classification models, as well as endpoint health analysis, troubleshooting, and monitoring solution validation.
Overview
Dataset Insights
Preview
Sample Examples
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| state_stale | boolean | Indicates whether policy, signatures, rules, or telemetry are older than expected. |
| anomaly_type | string | The primary classified anomaly, such as an unreachable agent, stale state, service failure, or scan malfunction. |
| anomaly_score | number | The computed anomaly severity score for the agent health record. |
| health_status | string | The overall derived health classification for the agent, such as healthy, degraded, or unhealthy. |
| telemetry_record | object | The original timestamped endpoint agent telemetry record containing health and activity measurements. |
| agent_unreachable | boolean | Indicates whether the heartbeat pattern suggests that the agent is disconnected or unavailable. |
| functional_anomaly | boolean | Indicates whether agent service or scan behavior shows a functional abnormality. |
Trust
Compliance Statement
Authorization Type
Proprietary - Commercial AI Training License (No Redistribution)
Commercial Use
Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization
No PII, no real company names, simulated scenarios follow industry standards
Compliance System
Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs
FAQ
Frequently Asked Questions
- What endpoint agent information does the dataset contain?
- It covers agent runtime signals such as heartbeats, policy synchronization, signature or rule updates, scan activity, service status, and telemetry reporting. Labels include agent unavailability, stale state, and functional anomalies, alongside anomaly type, score, and overall health status.
- Which evaluation tasks does the dataset support?
- It is designed primarily for multivariate time series anomaly detection. It can also support agent health classification, anomaly type identification, and automated evaluation of endpoint monitoring models.
- Does the dataset include anomaly labels and severity information?
- Yes. It indicates whether an agent is unreachable, its state is stale, or it has a functional anomaly. It also provides the primary anomaly type, an anomaly score, and an overall health status for detection and classification evaluation.
- How can I access the data, and what are the licensing terms?
- Refer to the product page for access instructions, available formats, and licensing terms. Confirm that your intended use falls within the permitted scope and follow applicable organizational data security and privacy requirements.
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Cite this Work
@dataset{Mobiusi2026,
title={Endpoint Management Agent Health Anomaly Evaluation Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/9e8dc3b430f52f4f1d1f3f1112a83523?dataset_scene_cate_type=2},
urldate={2026-10-21},
keywords={endpoint management agent dataset,agent health monitoring,endpoint telemetry anomaly detection,heartbeat disconnection detection,policy synchronization analysis,security agent failure detection,multivariate time series evaluation,endpoint anomaly classification},
version={1.0}
}Using this in research? Please cite us.