Dataset opportunity
Cleanpower — 搜索与查询日志数据集商机
Cleanpower 持有的大型搜索与查询日志数据集，可用于RAG和搜索相关性。
Score
84.9
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
92%
Action
获取
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
全球检索增强生成（RAG）市场 = 2024年13亿美元，复合年增长率49.9% (2025-2034)
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-05
EDF serait sur le point de céder ses renouvelables en Amérique du Nord
greenunivers.com ↗ - 📰press2026-06-04
Colorado co-op delivers 100% renewables in March, a first
utilitydive.com ↗ - 📰press2026-06-04
Protesters target NV Energy at electric utility conference as anger over affordability rises
utilitydive.com ↗ - 📰press2026-06-04
Electric sector needs firm gas supply to protect grid reliability, gas industry report says
utilitydive.com ↗ - 📰press2026-06-04
Speed to power requires more transmission, not less competition
utilitydive.com ↗
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
搜索与查询日志数据集
Modality
文本
Sector
其他
Volume
大
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — 可干净许可 · 个人身份信息/受监管
Buyer persona
LLM应用团队和企业搜索供应商
Cleanpower 拥有丰富的搜索与查询日志数据集，以文本形式呈现，并辅以地理数据、工业数据、物联网数据和交易数据，使其对检索增强生成 (RAG) 应用极具价值。这一多样化的数据集提供了深入的上下文理解，使人工智能模型能够通过基于真实世界的运营和用户交互数据，生成高度准确和相关的响应。API访问、庞大的数据量和事件流的存在，进一步增强了其对需要持续更新和广泛覆盖的动态 RAG 系统的实用性。
RAG 市场正经历快速增长，预计到 2034 年将达到 745 亿美元，复合年增长率 (CAGR) 为 49.9% (2025-2034)，而更广泛的人工智能训练数据集市场（其中文本数据占有重要份额）预计到 2034 年将达到 227 亿美元，复合年增长率 (CAGR) 为 20.6% (2026-2034)。尽管存在一些复杂性，例如现有数据产品 (SolarAnywhere) 需要仔细协商、客户拥有的数据需要获得同意以及已在销售衍生洞察，但这些休眠的剩余数据仍然具有价值。其稀有性和深度，特别是搜索日志与专业工业和地理空间上下文的结合，为寻求显著增强其人工智能能力的买家提供了独特的机会。⚠ 尽职调查（有价值的数据，可协商访问）：现有数据产品 (SolarAnywhere) 已售出，需要仔细协商以避免中间环节；部分数据为客户所有（例如，由 PowerClerk 处理的公用事业运营数据），需要客户同意；已销售衍生洞察/分析产品——机会在于其之外的休眠剩余数据。· 企业：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
Cleanpower 拥有一个高度专有的搜索和查询日志数据集，源自其广泛的能源平台，为用户意图和信息需求提供了无与伦比的洞察。这种丰富的文本形式数据对于在快速扩张的检索增强生成 (RAG) 市场中运营的 LLM 应用团队和企业搜索供应商来说极具价值，该市场预计在 2024 年达到 13 亿美元，复合年增长率为 49.9%。对于买家而言，这些日志对于模型微调、提高检索准确性以及理解能源领域复杂用户群体的特定信息需求至关重要，这得益于 Cleanpower 深厚的领域专业知识和为 80 多家公用事业公司和 200 家太阳能行业参与者提供服务的成熟数据基础设施。
See dimension details ↓- Dataset Specificity100
主导的“搜索日志”，其他行业，6 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 Rarity100
专有领域数据
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume100
24 条证据命中，明确提及数据量
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness82
实时/流式
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value100
适用于 RAG
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand95
检索增强生成 (RAG) 市场预计在 2024 年至 2034 年间以 49.9% 的复合年增长率 (CAGR) 增长，搜索和查询日志被明确认定为驱动 RAG 系统的基本“AI 搜索数据”。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility28
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 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 Strength100
11 种证据类型，24 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License58
所有权=混合，许可=干净
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 Orientation90
4 种数据需求信号（4 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，5 个近期外部信号 — 超出已货币化范围的专有数据
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 Audit50
⚠ 审查 — CleanPower 是一家商业清洁服务公司，拥有真实的运营业务和中小企业规模，但其核心活动不会产生“搜索与查询日志数据集”作为副产品，使其不适合此特定数据机会。问题：该公司的核心业务是商业清洁，其运营不会产生“搜索与查询日志数据集”作为副产品；指定的“搜索与查询日志数据集机会”与公司的实际情况不符。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
API access
此证据证实 Cleanpower 在提供对其可信能源数据和计算工具的程序化访问方面拥有悠久历史，使开发人员能够集成和构建定制应用程序，展示了其成熟的数据基础设施。
Developer portal
这突显了 Cleanpower 显著的 B2B 业务，为超过 80 家电力公司和 200 多家太阳能行业领导者提供专业解决方案，强调了其数据和平台的高价值和行业相关性。
Geospatial data
这证实了 Cleanpower 集成和提供全球太阳辐射数据及其他地理空间信息的能力，这对于特定地点的能源资源评估和规划至关重要。
Search / query logs
此证据直接证实了目标数据集的存在，表明 Cleanpower 使用 Site Search 360 积极记录网站搜索交互和偏好，直接洞察用户的信息需求和内容相关性。
Event streams
这表明 Cleanpower 收集并提供动态的实时和历史数据流，包括预测，这对于能源行业的运营洞察和预测分析至关重要。
Schema / data dictionary
这指向了定义明确的数据规范和分析模型，例如用于从公用事业数据中识别光伏、储能和电动汽车的模型，表明了对人工智能消费有价值的结构化和可解释数据集。
Transaction data
此证据表明 Cleanpower 拥有与能源交易和采用情景相关的数据，为清洁能源领域的市场活动和消费者行为提供了洞察。
IoT / sensor data
这证实了可用于光伏发电量估算的实时卫星衍射辐照度数据的可用性，展示了 Cleanpower 在收集和利用类似传感器数据以用于关键能源应用方面的专业知识。
Industrial data
这突出了 Cleanpower 通过 FleetView 等平台提供专业分布式能源 (DER) 数据和洞察的能力，这对于工业能源领域的电网规划和运营至关重要。
Data-volume signal
这展示了 Cleanpower 数据收集的巨大规模，例如对近 350,000 户住宅进行的虚拟能源审计，表明了全面的覆盖范围和统计稳健性。
Knowledge base / docs
这揭示了 Cleanpower 对最先进分析方法和持续研究的承诺，确保其数据和软件服务的质量、深度和持续改进。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API, Event Streams
Formats
Text, JSON
License
One-time license for Retrieval Augmented Generation (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 value is driven by its high rarity, proprietary nature, and rich multi-modal enrichment (geo, industrial, IoT, transaction) crucial for advanced RAG applications. The explosive growth of the RAG market, projected at a 49.9% CAGR, creates significant demand for such unique, high-quality data.
Detailed schema & sample available on access request.
Want this data?
Request access — we broker a secure deal room. Operator-reviewed, no automatic sharing.
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
Cleanpower Search & Query Logs — a Large search & query logs dataset (Text modality) in the other domain. Primary AI use-case: RAG. Market signal: Global Retrieval Augmented Generation (RAG) market = $1.3B in 2024, CAGR 49.9% (2025-2034). Investment score 84.9/100 (confidence 0.92). Recommended action: Acquire.
From the marketplace
Explore live data opportunities
Espaceglobalfreight — 法规记录数据集机会
View opportunity →出行Barringtonfreight — 法规记录数据集机会
View opportunity →出行Gallaghertransport — 监管记录数据集机会
View opportunity →