Dataset opportunity
Quitus Protection — 事件流数据集机会
Quitus Protection 持有的中等事件流数据集，可用于预测和异常检测。
Score
56.8
Score (0–100) blends weighted dimensions — dataset rarity, training value, buyer demand, evidence strength and right-to-license. 70+ is deal-ready. See the scored dimensions below for the breakdown.Confidence
44%
Action
数据共享协议
The recommended deal structure for this dataset: Acquire (full buyout), License (paid usage rights), Data Sharing Agreement (controlled access, no transfer of ownership), Partnership (co-development) or Annotation Program (labeling). Chosen from data ownership, licensing complexity and accessibility.Market size (indicative estimate)
全球安全分析市场在 2025 年估值为 159.7 亿美元，预计增长率为 18.10%（2026-2035 年）。
Lineage
How this lead was derived
The signal-first chain, end to end: recent external signals → qualified niche → resolved data-holder → site verification → scored opportunity. Every lead is explainable.
Profile
Dataset profile
Type
事件流数据集
Modality
时间序列
Sector
其他
Volume
中等
Freshness
实时
Rarity
中等
Accessibility
受限
Legal
混合所有权 — GDPR 敏感（个人身份信息审查）
Buyer persona
量化基金和需求预测人工智能团队
Quitus Protection 持有一个专有的事件流数据集，捕获安全事件、代理干预和现场监控活动。该数据结构化为来自连续 `business_records` 和 `event_streams` 的时间序列，提供了操作安全事件的详细、按时间顺序的日志，使其在构建和训练人工智能预测模型以预测事件和优化资源分配方面具有极高的价值。
全球安全分析市场，在2025 年估值为 159.7 亿美元，预计到 2035 年将以 18.10% 的复合年增长率扩张。[5] 尽管由于敏感的个人身份信息、共享的客户日志所有权和法国 CNAPS 法规存在访问复杂性，但该数据集的稀有性和操作深度为人工智能买家提供了显著的竞争优势。该数据能够开发先进的预测安全解决方案，以应对市场的高增长和对数据驱动的见解的强烈需求。[5] ⚠ 尽职调查（有价值的数据，可协商访问）：数据包含敏感的安全事件详情以及安全代理和第三方的个人身份信息；现场特定日志的所有权可能通过服务合同与客户共享；受法国安全法规（CNAPS）关于数据保留和使用的约束。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
证据证实 Quitus Protection 拥有一系列专有的真实世界安全事件和操作响应的事件流，直接来自其安保和远程监控任务。这些高频、带时间戳的数据包括警报触发器、可疑活动日志和巡逻记录，为预测模型提供了独特的信号。对于量化基金和人工智能团队而言，该数据集提供了构建用于风险评估和需求规划的预测模型所需的真实输入，从而在蓬勃发展的安全分析市场中获得优势。
See dimension details ↓- Dataset Specificity50
主导的 'event_streams'，行业其他，1 种特定类型
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity58
专有领域数据
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume52
3 个证据命中
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness82
实时/流式传输
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value64
适合预测
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
人工智能买家需求旺盛，这得益于在快速扩张的安全分析市场中对预测能力的需求，该市场正以 18.10% 的复合年增长率增长。[5]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility20
受限/未知
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility30
中等难度，独立
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength53
2 种证据类型，3 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License28
所有权=混合，许可=GDPR 敏感
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence90
独立
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation22
0 个数据胃口信号（0 种类型）
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus70
盈余=中等 — 专有数据超出已货币化的部分
Volume and value of proprietary data this company holds BEYOND what it already monetises — the dormant surplus we can unlock. A company can sell some insights AND still sit on a far larger dormant asset. - ICP Audit100
✓ 良好目标 — 这家运营安保服务中小企业非常适合，因为它作为核心业务的副产品生成专有事件和干预数据，并且不进行销售。
- Deep Qualification70
⚠ 需要审查 — Quitus Protection 是一家运营安保服务公司，使其成为事件流数据的潜在持有者。然而，其隐私政策明确禁止向第三方出售个人数据，并且运营日志的所有权仍不清楚。[许可受限]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Event streams
这些证据包括安全事件、异常和警报触发器的数字记录，为训练本地化风险的预测模型提供了原始的高频信号。
business_records
这些证据包括安全巡逻频率和检查点扫描的时间戳日志，为建模和优化资源分配提供了关键的运营数据。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Quitus Protection Event Stream — a Moderate event stream dataset (Time Series modality) in the other domain. Primary AI use-case: Forecasting. Market signal: Global Security Analytics market valued at USD 15.97 billion in 2025, projected to grow at a CAGR of 18.10% (2026-2035) (source: Precedence Research). [5]. Investment score 56.8/100 (confidence 0.44). Recommended action: Data Sharing Agreement.
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