Overtone

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90%
Human expert matching
5x
Content type distinctions
4000+
Global news sources
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Overtone Data Products: APIs & Datasets

Explore Overtone’s datasets, databases, and data feeds.
Overtone data provides a score to an individual piece of news content, not based on the amount of engagement it is receiving, but on what...
20 countries covered
Benefits: Our data is based on qualitative signals in the text, not any metadata. Format & attributes: CSV with UID + score + confiden...
1M Records
90% Accuracy rate
114 countries covered
8 years of historical data
Benefits: Data matches news article impact + sentiment with stock price. Format & attributes: CSV with UID + score + confidence. C...
1M Records
90% Accuracy rate
114 countries covered
8 years of historical data
Benefits: Our data is based on qualitative signals in the text, not any metadata. Format & attributes: CSV with UID + score + confiden...
116 countries covered
5 years of historical data
Benefits: Our data is based on qualitative signals in the text, not any metadata. Format & attributes: CSV with UID + score + confiden...
115 countries covered
8 years of historical data
Benefits: Data shows likelihood of subscriber conversion & engagement for a news article. Format & attributes: CSV with UID + score +...
113 countries covered
8 years of historical data

Overtone Pricing & Cost

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

Prices from $0.05/€0.05/£0.05 per single item.

One time payment per dataset. Buy per 1,000 rows, up to 2M items per dataset.
1 K rows – $40
100 K rows – $3,000
1 M rows – $20,000

Subscriptions available from $5,000 / month.

Overtone’s APIs and datasets range in cost from $0.04 / API Call to $10,000 / year. Get talking to a member of the Overtone team to receive custom pricing options, information about data subscription fees, and quotes for Overtone’s data offering tailored to your use case.

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About Overtone

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

Overtone in a Nutshell

Overtone is a technology company that uses an NLP-based algorithm to produce data on the news and other informational content. Using editorial signals, we differentiate between both long-form content, such as articles, and short-form content, such as comments.

Headquarters
United Kingdom

Country Coverage

Africa (8)
Botswana
Egypt
Ethiopia
Ghana
Kenya
Namibia
South Africa
Tanzania, United Republic of
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 (51)
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
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
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

Overtone provides our clients, via our API, with data on either a url or body text. This data ranges from 1 for the articles that show the fewest journalistic signals, and 5 for articles that show the added value of large amounts of journalistic work. These scores can be used by analysts and researchers so that they can give different weight to different news items, depending on which type of news item they are.

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Use Cases

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Data Sources & Collection

Overtone access textual data from news websites, including a standard list of more than 4,000 sites in English. We receive the text from a third-party scraping service that complies with all applicable rules and restrictions on scraping.

Key Differentiators

Impact is a measure of the value that has been added to an article by its author to inform their readers. This includes the following: ᐧ Original reporting: Does the article provide new information or is it taken from elsewhere? Is the article vague or does it provide evidence to support its statements? ᐧ Good sourcing: Does the article cite interviews, data or documents? Does it simply republish information that is published online as a release or social media post? Does it include multiple different sources or does it rely on only one? ᐧ Exploration of ideas: Does the article focus solely on one story angle or does it provide context to inform the reader of the related issues? Are statements and evidence analyzed and explained in a nuanced manner? What are the characteristics of each score?

Articles that score 1 - These stories convey news but with limited explanation of the meaning, such as a press release or sourcing reliant on aggregation from a company, other outlets or social media posts. Articles that score 1 may also be non-news, such as purely personal blog posts or recipes.

Articles that score 2 - These stories provide some context but with limited original reporting or value-add, such as a report that is largely aggregated or based on one source, such as local police. These stories convey one angle to the news without consideration of the larger picture.

Articles that score 3 - These stories provide at least some value-add, such as citing an expert to comment on news broken elsewhere. They may provide context on the news with some original analysis but do not delve into multiple angles. Event-based reporting may often fall into this category.

Articles that score 4 - These stories delve deeper than one angle, juxtaposing the ideas of one expert to others or additional facts. Beyond reporting they may show reporters work looking into data or facts and analyzing them for the reader. Reported feature stories are often in this category.

Articles that score 5 - These stories show the presence of most or all of what Overtone is looking for in “impact.” This includes information from solid sources such as interviews or documents, original reporting and exploration of ideas. These stories are likely to be bringing new information to light or deeply exploring a known issue rather than retreading previously reported material.

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Frequently asked questions about Overtone

What does Overtone do?

We analyse online texts – news, blogs, comments, PR, reports – for qualitative signals. These intrinsic data points are used to assess impact, depth, human effort and audience investment. We are currently running in English and Spanish.

How much does Overtone cost?

Overtone’s APIs and datasets range in cost from $0.04 / API Call to $10,000 / year. Get talking to a member of the Overtone team to receive custom pricing options, information about data subscription fees, and quotes for Overtone’s data offering tailored to your use case.

What kind of data does Overtone have?

Stock Market Data, AI Training Data, News Data, Social Media Data, and 10 others

What data does Overtone offer?

Overtone provides our clients, via our API, with data on either a url or body text. This data ranges from 1 for the articles that show the fewest journalistic signals, and 5 for articles that show the added value of large amounts of journalistic work. These scores can be used by analysts and researchers so that they can give different weight to different news items, depending on which type of news item they are.

How does Overtone collect data?

Overtone access textual data from news websites, including a standard list of more than 4,000 sites in English. We receive the text from a third-party scraping service that complies with all applicable rules and restrictions on scraping.