Moat

No reviews yetBadge iconVerified Data Provider
Contact Provider

Optimized for quick response

Global
-
Time Aware
-
Daily
-
Historical
-
On This Page:
  • Overview
  • Datasets
  • Data Pricing
  • Data Reviews
  • Competitors
  • Learn More
  • Overview
  • Datasets
  • Data Pricing
  • Data Reviews
  • Competitors
  • Learn More

Moat Data Products: APIs & Datasets

Explore Moat’s datasets, databases, and data feeds.

Moat Pricing & Cost

Learn about Moat’s prices, subscription cost, and API pricing.

Free data trials to include up to 20 years of historical data.

The supported pricing models for Moat’s data are One-off purchase, Monthly License, Yearly License, and Usage-based. Get talking to a member of the Moat team to receive custom pricing options, information about data subscription fees, and quotes for Moat’s data offering tailored to your use case.

Moat Reviews

Read authentic reviews about Moat from your peers.

Your Review

There are not enough reviews and ratings for Moat at the moment. Have you worked with Moat? You can help other data professionals better understand Moat’s data products and services by leaving a review now.

Data Quality
Data Volume
Value For Money
Customer Service

By submitting this review, you agree to Datarade's Terms & Conditions and Privacy Policy.

Moat Competitors & Alternatives

Find data providers that are similar to Moat.
datarade.ai - Quant IP profile banner

Quant IP

Coverage
USA
UK
+247
We give business and financial experts access to the information treasure hidden in global data bases. We discover technology trends and make it possible to benchmark the innovative strength of companies. We quantify innovation and clear the view for the technology landscape of the future.
60.000
listed companies
500.000
non-listed companies
30 years
back test data point in time
datarade.ai - Hoeg & Company profile banner

Hoeg & Company

Coverage
USA
Efficiency and Quality Ratings measure of how well a bank uses its resources to achieve profitable results and build a quality business portfolio. The evaluation is based on Efficient Frontier Analysis, a much more accurate way to measure business performance.
99%
Coverage of U.S. Banks
4,600+
Number of Banks Rated
45
Number of Quarters of Ratings
datarade.ai - EPFR Global profile banner

EPFR Global

Coverage
USA
UK
+64
EPFR’s Flows and Allocations data provides a unique view on investor and fund manager sentiment across global markets, helping buy and sell-side institutions make informed decisions.
25 years
History
Buyside
Data sourced direct from
$50 Tr
Tracked AUM
datarade.ai - Datago Technology Limited profile banner

Datago Technology Limited

Coverage
USA
UK
+248
Founded in 2016, Datago is a FinTech company specializing in massive alternative datasets, including news, reports, and social media. By leveraging AI and big data technologies, we deliver machine-readable data services tailored for capital markets across Asia and emerging markets worldwide.
95%
Client Retention
10
Years of Sustained Growth
100+
Research Papers Supported
View more alternatives

About Moat

Learn more about Moat’s data sources, use cases, and integrations.

Moat in a Nutshell

Moat’s proprietary AI solutions create unique relationships among entities, markets, products, IP assets, and associated risks that make patent data actionable for investors.

Headquarters
USA

Country Coverage

Africa (58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Réunion
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
Asia (51)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Iran (Islamic Republic of)
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Lebanon
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Syrian Arab Republic
Taiwan
Tajikistan
Thailand
Timor-Leste
Turkey
Turkmenistan
United Arab Emirates
Uzbekistan
Vietnam
Yemen
Europe (52)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Kosovo
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America (13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania (25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
Other (9)
Antarctica
Bouvet Island
British Indian Ocean Territory
Christmas Island
Cocos (Keeling) Islands
French Southern Territories
Heard Island and McDonald Islands
South Georgia and the South Sandwich Islands
United States Minor Outlying Islands
South America (42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)

Data Offering

Time aware patent to product mapping that can also include litigation data, investment data, and/or litigation data. Patent valuations that provide the dollar value of the cost to rebuild a portfolio. Innovation momentum and strength data. Patent lifecycle and expiration data.

Use Cases

Benchmark against innovation peers and competitors by mapping patents to product areas and providing investment, financial, and risk data.
Fundamental investors, PE/VC investors, and corporates: to estimate the
value of patent assets using a cost approach.
Consumer discretionary investors: to expose IP litigation maturity and risk at a
product and/or market level.
TMT investors: to track and distinguish AI innovation vs AI-washing.
Fundamental investors: to understand drivers of innovation and long-term
growth of target companies.
Pharma/biotech investors and corporates: to track blockbuster drug patent
cliffs; to forecast declines in branded drug sales and increases in biosimilar
sales

Competitor Insights
Financial Data Enrichment
Investing
Product Data Enrichment
Supplier Intelligence

Data Sources & Collection

Proprietary data set that leverages structured patent data, mapped to products, and leveraging investment data, company financial data, litigation data, and proprietary data sets around innovation velocity, strength, and breadth.

Key Differentiators

Innovation is the engine of long-term growth. Yet, the existing intellectual property data market offers inadequate value to investors.

The majority of incumbent data vendors provide unprocessed patent data.

Incumbent data does not map to actual (non-CPC schema) markets and products.

Incumbent data lacks insights to comprehensively assess and benchmark a company’s innovative core and competitive advantages

Spun out of Aon and AI-powered, Moat Metrics analyses patent data for you – we quantify the risks and rewards of company-specific innovation. Moat makes patent data actionable.

Data Privacy

CCPA compliant
GDPR compliant

What are you looking for?

Frequently asked questions about Moat

What does Moat do?

Moat draws on global patent, litigation, and market data to create time aware data products to understand the value, risk, and drivers of company innovation.

How much does Moat cost?

The supported pricing models for Moat’s data are One-off purchase, Monthly License, Yearly License, and Usage-based. Get talking to a member of the Moat team to receive custom pricing options, information about data subscription fees, and quotes for Moat’s data offering tailored to your use case.

What kind of data does Moat have?

Alternative Data, Intellectual Property Data, Litigation Data, Patent Data, and 4 others

What data does Moat offer?

Time aware patent to product mapping that can also include litigation data, investment data, and/or litigation data. Patent valuations that provide the dollar value of the cost to rebuild a portfolio. Innovation momentum and strength data. Patent lifecycle and expiration data.

How does Moat collect data?

Proprietary data set that leverages structured patent data, mapped to products, and leveraging investment data, company financial data, litigation data, and proprietary data sets around innovation velocity, strength, and breadth.

What are the best use cases for Moat’s data?

Benchmark against innovation peers and competitors by mapping patents to product areas and providing investment, financial, and risk data. Fundamental investors, PE/VC investors, and corporates: to estimate the value of patent assets using a cost approach. Consumer discretionary investors: to expose IP litigation maturity and risk at a product and/or market level. TMT investors: to track and distinguish AI innovation vs AI-washing. Fundamental investors: to understand drivers of innovation and long-term growth of target companies. Pharma/biotech investors and corporates: to track blockbuster drug patent cliffs; to forecast declines in branded drug sales and increases in biosimilar sales