Dataset opportunity
Shapiro — 监管记录数据集机会
Shapiro 持有的中等规模监管记录数据集，可用于监管 RAG 和合规助手。
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
49%
Action
收购
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)
全球供应链分析市场 = 2023 年为 62.7 亿美元，复合年增长率为 17.2%（2024-2032 年）（来源：Precedence Research）。[8]
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
监管记录数据集
Modality
文本
Sector
出行
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — 许可权待明确 · PII/受监管
Buyer persona
监管科技与合规人工智能供应商
Shapiro 拥有一份监管记录数据集，其中包含源自其核心移动业务的高价值文本数据。这包括详细的 `event_streams`（事件流）、`regulatory`（监管）申报和 `transaction_data`（交易数据），记录了真实的国际贸易合规和海关申报。其结构和内容使其成为开发能够应对复杂、实时贸易查询的专业监管 RAG 应用的理想且极其稀有的资产。
该数据直接面向供应链分析市场，该市场在 2023 年的价值为6.27B 美元，预计将以 17.2% 的复合年增长率增长。[8] 虽然访问需要克服敏感海关信息、与承运商共享数据所有权以及公司现有的 'Shapiro 360' 货币化平台等复杂性，但该数据集独特的深度在这个快速扩张、对数据需求旺盛的市场中提供了显著的竞争优势。[8] ⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据包括敏感的海关申报和国际贸易合规记录；特定运输数据的拥有权可能与第三方承运商共享；专有的 'Shapiro 360' 平台已为客户货币化了其部分运营数据。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
证据证明 Shapiro 拥有涵盖全球贸易全生命周期的稀有专有数据集，从海关申报到最终交付。这种独特的监管文本、运营时间序列和交易数据的组合是 RegTech 和合规 AI 供应商的关键资产。它直接支持开发先进的监管 RAG 系统，以应对复杂的国际贸易规则。在一个年增长率为 17.2% 的供应链分析市场中，该数据集提供了构建下一代合规工具所需的真实依据。
See dimension details ↓- Dataset Specificity90
主导的“监管”，移动行业，3 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 Rarity82
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 Value84
适用于监管 RAG
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand85
AI 买家需求旺盛，这得益于全球供应链分析市场对自动化和预测性洞察的需求，该市场价值**6.27B 美元**，复合年增长率为**17.2%**。[8]
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 License36
所有权=混合，许可=权利不明确
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 个数据胃口信号（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 Audit75
⚠ 审查 — Shapiro 的核心业务是报关和货运代理，但他们已经提供了一个复杂的内部数据和分析平台（Shapiro 360°）作为其服务的重要组成部分，使其成为数据/情报的销售商，而不是休眠数据的持有者。问题：公司的核心产品不是数据，但他们大力营销和销售情报/分析作为其服务的主要功能；公司已开发了自己的专有 IT 系统和数据平台，名为 'Sh
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Event streams
这种时间序列数据捕获真实的运营绩效，包括运输时间和承运商绩效，这对于物流优化和预测建模至关重要。
Transaction data
这种表格数据详细说明了全球航运的商业活动，提供了对货物量和物流支出的洞察，这些对于市场分析和战略采购非常有价值。
Regulatory records
这种专有文本数据集包含深入的国际贸易文件，这些文件源自报关的直接专业知识，为训练监管 AI 和合规自动化系统提供了关键的真实依据。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Text, JSON
License
One-time license for internal use in Regulatory RAG applications, with potential restrictions on redistribution.
Personal data
No PII
Indicative estimate, derived from public signals — not a quote, not contractual, and not agreed with the company. Is this your company? Correct it.
This dataset's high rarity and proprietary nature, combined with strong demand from the growing Supply Chain Analytics market for regulatory RAG applications, drives its significant valuation. The granular, real-time trade compliance data is exceptionally valuable for RegTech and AI compliance solutions.
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
Shapiro Regulatory Records — a Moderate regulatory records dataset (Text modality) in the mobility domain. Primary AI use-case: Regulatory RAG. Market signal: Global Supply Chain Analytics market = $6.27B in 2023, CAGR 17.2% (2024-2032) (source: Precedence Research). [8]. Investment score 48.0/100 (confidence 0.49). Recommended action: Acquire.
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