Brand API

Do companies tip their hands by filing trademarks before a product launch? Which famous companies have products that are exposed to intellectual property squatters?

We have mined government documents to identify millions of brands, their owners and their types of use.

We are now making these details available for use in other applications or data research projects through an easy-to-use Brand API.

  1. Overview
  2. Request
  3. Response
  4. Examples
  5. Datasources
  6. Obtaining a Key


Suppose you want you have a product idea and want to name it ‘iBook’. One of the first things you will do is see if there are existing products with this name (there are), who owns them (“Apple” for one) and what limits there are on the use.

Using the Brand API you can submit a phrase and get in return a list of current uses, owners and publications associated with it.


All of the Data APIs are RESTful and return JSON.


Each Data API uses our company domain and a dedicated “api” subdomain:


Our Data APIs will roll out gradually and the semantics are likely to change as we add features and increase the datatypes we support. For this reason all current requests should use the “v1″ prefix:


The Technology API uses a single action called “brands”. This will return related brands, companies and publications for a single brand.


name Required This is the full name of the brand you are looking for. The Brand API will return related names to help you find the exact one (or more) you are looking for.
key Required Each application requires a key. Check here for details on getting a key.

Note: parameters must be URL encoded, including replacing blank spaces with %20.

See the Examples sections for variations.


The Brands API returns up to three types of data related to the technology name submitted. A typical response looks like:

  "aliases": [
    "made for ipod iphone",
    "My iPhone"],
  "companies": [
    "Apple Inc",
    "Icx Europe Limited"],
  "publications": [
    "my iphone",
    "made for ipod iphone",
    "made for ipod iphone ipad"]


Aliases includes various other names that may be alternatives or related brands. For instance, “iphone” returns “My iPhone” and “made for ipod iphone”. We identify and score unique brands by mining millions of trademark filings and product recalls.

Each alias may be called separately to return related entities and publications associated with that name. In subsequent versions we will add the ability to include/exclude any of these aliases.


Companies includes companies or institutions with which this brand has been affiliated. For instance, “iphone” returns “Apple Inc” and “Icx Europe Limited”. These are most often owners of a trademark for that brand.

Companies are not always explicitly identified as being a company. We look at entity type, role on the filing and inclusion of certain keywords in the name to determine if it is a company. These are not always correct.

Each company may then be looked up using the Company API.


Publications are all those documents on which the person appears. The full list of document types appears here.




In the first version this information comes largely from ~10 million worldwide trademarks and product recall documents. Domain names will be added in subsequent versions.

Obtaining a Key

If you are interested in advance access, please contact us at [email protected].


We investigate and acquire datasets from around the world using automated data retrieval and "deep web" crawling methods.


Our analysts use our existing library of proprietary ETL tools to return clean and structured data in any format your business requires.


Raw data is rarely good enough by itself. We use advanced natural language and machine learning methods to extract entities, from people to addresses, so you can find information, not just data.


At over 200 million records, 1 billion entities and relationships and 88 countries, our existing dataset of companies, people, intellectual property, legal and financial filings make for powerful supplements to your existing data.


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