Score
48
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
37%
Action
许可
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)
全球金融人工智能市场 = 2025年为395亿美元，复合年增长率为23.1%。
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
可下载数据资产
Modality
表格
Sector
金融
Volume
中等
Freshness
周期性
Rarity
低（商品化）
Accessibility
开放/API
Legal
所有权待确认 — 许可待确认
Buyer persona
领域语言模型构建者和垂直人工智能初创公司
Bitpay 持有详尽的表格数据资产，详细记录了真实的加密货币交易、商户活动和支付处理事件。这种结构化的、历史性的可下载数据资产特别适合用于大型语言模型或预测模型的微调，提供了专业化人工智能处理高风险金融任务（如欺诈检测、风险评估和交易分析）所需的精细、特定领域信息。
商业价值锚定在快速扩张的金融人工智能市场，该市场2025年市场规模为395亿美元，预计将以23.1%的复合年增长率增长。[18] 该数据的稀缺性和复杂性使其可下载格式对需要高质量、真实金融数据以获得竞争优势的人工智能买家来说极具价值。尽管可能存在访问复杂性，但此类数据集的需求非常强烈，这源于提高金融应用中人工智能模型的准确性和判断力的需求。[11, 18, 24] ⚠ 尽职调查（有价值的数据，可协商的访问权限）：公司：结构待确认。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明 BitPay 拥有源自其财务报告和加密钱包应用程序的专有、可下载的表格数据资产。该数据集对于希望为高增长的金融科技领域微调模型的领域语言模型构建者和垂直人工智能初创公司来说，是关键资源。随着金融人工智能市场预计到2025年将达到395亿美元，这些数据提供了构建能够理解数字货币独特模式的专业模型的原材料，从而提供独特的竞争优势。
See dimension details ↓- Dataset Specificity54
主要为“下载”，行业金融，0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 Rarity22
专有领域数据（开放降低稀缺性）
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume46
2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 Value44
适合微调
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
人工智能买家需求极高，这得益于金融人工智能市场23.1%的复合年增长率，该市场需要此类专业数据集来微调欺诈检测和风险管理模型。[18]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility72
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 Feasibility66
中等难度，结构待确认
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength41
1种证据类型，2次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License59
所有权=未知，许可=未知
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence70
结构待确认
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation22
0个数据需求信号（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 Audit67
⚠ 审查 — BitPay 的核心业务是提供加密支付处理服务和软件，而不是出售休眠数据，因此不适合。问题：该公司的核心业务是提供服务（支付处理）和软件（钱包、API），这是一种销售情报/工具的形式。[1, 4, 9]；该公司提供“统计”页面，包含聚合数据和仪表板供用户使用，这表明他们已经利用其数据获取洞察，即使尚未直接出售；理想客户画像明确排除了核心业务是销售情报或软件的公司，这描述了 BitPay 提供支付处理的模型
- Deep Qualification80
✓ 通过 — BitPay 是一家支付处理商，其加密交易的运营数据是一项合理的资产，但受到个人数据法规（GDPR、CCPA）的严重限制，其隐私政策并未规定数据转售权，仅限于运营共享。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Downloads / exports
可下载的报告和应用程序数据的存在证实了 BitPay 对结构化表格资产的控制，这些资产是训练和微调专业金融人工智能模型的基础。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Bitpay Downloadable Data — a Moderate downloadable data asset (Tabular modality) in the finance domain. Primary AI use-case: Fine Tuning. Market signal: Global AI in finance market = $39.5B in 2025, CAGR 23.1% (source: AI In Finance Market Summary). Investment score 48.0/100 (confidence 0.37). Recommended action: License.
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