Dataset opportunity
Gold Traders — 交易数据集机会
Gold Traders 持有的中等交易数据集，可用于推荐模型和欺诈检测。
Score
60.1
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)
全球推荐引擎市场 = 2023 年为 39 亿美元，复合年增长率为 36.3%。
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.
- 🔌Public API
实时市场现货价格整合，用于实时估值
source ↗
Profile
Dataset profile
Type
交易数据集
Modality
表格
Sector
零售
Volume
中等
Freshness
定期
Rarity
低（商品）
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
Gold Traders 持有源自其业务记录的表格 交易数据集，包含客户购买历史、商品详情和专有估值数据。这些丰富、结构化的信息非常适合开发和训练复杂的推荐模型，以预测未来的购买行为并为高价值贵金属商品提供个性化优惠。
该数据的商业价值体现在快速扩张的推荐引擎市场，该市场在 2023 年的估值为39 亿美元，预计将以 36.3% 的复合年增长率增长。虽然由于存在个人身份信息 (PII) 和需要谨慎处理专有评估逻辑，访问需要严格遵守 GDPR，但该数据在黄金交易这一细分领域中的稀有性和特异性为人工智能买家提供了显著的竞争优势。⚠ 尽职调查（有价值的数据，可协商的访问权限）：交易记录包含需要遵守 GDPR 的个人身份信息（姓名、银行详细信息、地址）；估值数据与实物检查和专有评估逻辑相关 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据证明 Gold Traders 拥有一份数据集，详细说明了来自政府认可来源的高价值贵金属的数字交易。该数据捕获了从初步接触到快速银行支付的完整、高速的客户旅程，提供了关于产品偏好和交易行为的丰富信号。对于构建推荐模型的人工智能团队来说，这是在年增长率超过 36% 的市场中开发复杂个性化引擎的关键资产。
See dimension details ↓- Dataset Specificity66
主导的“交易数据”，零售行业，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 Rarity34
专有领域数据（开放降低稀有度）
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 Freshness62
API/开放（当前）
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value64
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 Demand92
人工智能买家需求异常高，这得益于对专业、高质量数据的需求，以利用推荐引擎市场爆炸式增长的机会，该市场正以 36.3% 的复合年增长率扩张。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility14
开放/API 访问
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility62
低难度，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 Orientation39
1 个数据胃口信号（1 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 — 超出已货币化部分的专有数据
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 — 绝佳目标：一家活跃、可联系的英国中小企业，其核心业务是购买废旧贵金属，从而产生有价值的交易数据作为副产品，并且似乎并未将其货币化。
- Deep Qualification90
✓ 通过 — Gold Traders 是一家数据持有者，其核心业务是买卖贵金属，并产生连贯的交易数据集作为副产品。虽然合同干净，但根据 GDPR，该数据高度敏感，包含个人身份信息、银行详细信息和政府 ID 信息，任何潜在使用都需要严格遵守。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Downloads / exports
此客户推荐书记录了完整的数字服务工作流程，提供了从初步接触到最终支付的客户旅程和用户参与度的清晰证据。
Transaction data
此片段直接提供了交易数据的证据，详细说明了对构建精细推荐模型至关重要的特定产品类型和支付方式。
business_records
此官方认证确认了数据集的出处来自一个受信任的、经过政府审查的企业，显著降低了其用于训练人工智能模型的获取风险。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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This listing was generated automatically from public signals. It is not verified, and we are not affiliated with this company.
Coverage
Scanned sources
Deliverable
Premium dataset report
Gold Traders Transaction — a Moderate transaction dataset (Tabular modality) in the retail domain. Primary AI use-case: Recommendation Models. Market signal: Global Recommendation Engine market = $3.9B in 2023, CAGR 36.3% (source: Grand View Research). Investment score 60.1/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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