Dataset opportunity
Sdbullion — 金融交易数据集机会
Sdbullion 持有的中等规模金融交易数据集，可用于推荐模型和欺诈检测。
Score
63.8
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
49%
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)
全球金融分析市场到 2031 年将达到 234.2 亿美元，复合年增长率为 11.05%（2026-2031 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.
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
Profile
Dataset profile
Type
金融交易数据集
Modality
表格
Sector
金融
Volume
中等
Freshness
定期
Rarity
高（专有）
Accessibility
受限
Legal
公司所有 — GDPR 敏感（PII 审查）
Buyer persona
电子商务与个性化人工智能团队
Sdbullion 持有一个有价值的金融交易数据集，采用表格模式，汇编自业务记录、搜索日志和原始交易数据。该数据集提供了对客户购买贵金属行为的细粒度洞察，使其非常适合开发和训练先进的推荐模型，以个性化客户产品并预测投资趋势。
全球金融分析市场预计到 2031 年将达到 234.2 亿美元，复合年增长率 (CAGR) 为 11.05%，这凸显了该数据的重要商业价值。[5] 虽然访问需要应对敏感的金融个人身份信息 (PII)、高安全性金库记录和严格的反洗钱 (AML) 法规等复杂性，但该数据集的稀有性及其在定位高净值人士方面的直接适用性提供了独特的竞争优势，证明了严格尽职调查过程的合理性。[5] ⚠ 尽职调查（有价值的数据，可协商访问）：包含高净值人士的敏感金融 PII（个人身份信息）；数据涉及需要高安全许可的实物资产移动和金库记录；交易记录受财务报告和 AML（反洗钱）法规的约束。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明 Sdbullion 拥有专有的金融交易数据集，反映了超过10 亿美元的销售额和数千笔每日订单。对于希望构建高价值商品复杂推荐模型的电子商务和个性化人工智能团队来说，这些数据是一项关键资产。在预计到 2031 年将达到 234.2 亿美元的金融分析市场中，该数据集提供了一个了解和预测贵金属领域高意向买家行为的难得机会。
See dimension details ↓- Dataset Specificity78
主导的“交易数据”，金融行业，2 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 Rarity70
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 Freshness46
定期
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value74
适用于推荐模型
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand85
人工智能买家需求受金融分析市场强劲增长（11.05% 的复合年增长率）的驱动，因为企业寻求独特的数据集来构建高价值客户的预测推荐模型。[5]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility0
PII/受监管
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility0
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 Strength62
3 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 License62
所有权=公司所有，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 Orientation56
2 个数据需求信号（2 种类型）
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus92
盈余=高 — 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 Audit92
✓ 良好目标 — SD Bullion 是一个强大的目标，因为它是一家大型、可联系的中小型企业，其核心业务是销售实物贵金属，并产生有价值的、非公开的交易数据集作为副产品。问题：该公司属于中小型企业中较大的规模，一些消息来源表明其收入很高，但员工人数始终在中小企业范围内。[2, 6, 7, 10]；一个 Reddit 帖子提到该公司可能出售个人信息，但其隐私政策和退出页面澄清这与第三方广告有关。
- Deep Qualification90
✓ 通过 — SD Bullion 是一家直接面向消费者的贵金属电子商务零售商。该公司在其核心业务的副产品中持有一个有价值的金融交易数据集。这些数据包括客户 PII 和详细的交易历史，归公司所有。虽然没有明确的条款禁止其销售，但数据的敏感性质（PII、高价值交易）以及其在隐私法和金融法规下的治理，使得其许可复杂且风险很高。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Transaction data
这些证据证实了一个专有的表格数据集，详细记录了超过10 亿美元的历史销售额，提供了对客户购买行为的细粒度视图，这对于训练预测模型至关重要。
business_records
这些文件代表了高价值和稀有资产的详细库存移动记录，为构建稀缺性感知推荐引擎提供了关键的供应方背景。
Search / query logs
这些文本日志捕获了明确的客户意图信号，包括价格跟踪和“通知我”警报，这对于个性化营销和预测特定产品的未来需求非常有价值。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Sdbullion Financial Transaction — a Moderate financial transaction dataset (Tabular modality) in the finance domain. Primary AI use-case: Recommendation Models. Market signal: Global Financial Analytics Market to reach $23.42 billion by 2031, growing at a CAGR of 11.05% (2026-2031) (source: Mordor Intelligence). [5]. Investment score 63.8/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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