Patents Data

Patent Data

Data is updated based on patent office publication schedules (e.g., weekly for USPTO). Check source for specific update frequency.

Tutorials are the best documentation — Patent Data Tutorial

Input Datasets

Patent Filings (e.g., USPTO), Company Information

Models Used

Parsing, Company Name Matching/Mapping

Model Outputs

Ticker-Mapped Patent Applications and Grants

Description

This dataset provides detailed information on patent applications and grants filed by or assigned to publicly traded companies, mapped to their respective ticker symbols. It includes textual data like titles, abstracts, descriptions, and claims, alongside metadata such as filing/grant dates, classifications (IPC, NAICS), and application/grant IDs.

This data enables analysis of corporate innovation, R&D activity, technological focus, competitive intelligence, and potential intellectual property value across different companies and sectors.

Data Access

import sovai as sov
# Ensure authentication is done if needed
# sov.token_auth(token="YOUR_TOKEN")

# Access Patent Applications
df_apps = sov.data("patents/applications", tickers=["AAPL", "AMZN"]) # Example tickers

# Access Patent Grants
df_grants = sov.data("patents/grants", tickers=["AAPL", "AMZN"]) # Example tickers

Accessing Specific Tickers and Dates

You can retrieve data for specific tickers and define date ranges:

# Applications for specific tickers from a start date
df_specific_apps = sov.data("patents/applications",
                            tickers=["000066.SZ", "AMZN", "AAPL"],
                            start_date="2014-11-20") # Example from notebook

# Grants for a specific ticker from a start date
df_specific_grants = sov.data("patents/grants",
                             tickers=["AMZN"],
                             start_date="2014-11-20") # Example from notebook

Data Dictionaries

Patent Applications (patents/applications)

Column Name	Description
ticker	Stock ticker symbol of the associated company
date	Publication date of the patent application
application_id	Unique identifier for the patent application
org_name	Name of the organization listed on the application
source	Source category for company mapping (e.g., 'listed')
subsidiary	Specific subsidiary name identified (if applicable)
title	Title of the patent application
abstract	Abstract or summary of the patent application
description	Detailed description of the invention
claims	Specific claims made in the patent application
country	Country code where the patent was filed (e.g., 'US')
location	Geographic location associated with the applicant (e.g., State)
ipc3	International Patent Classification (IPC) code (3-digit level)
naics	North American Industry Classification System (NAICS) code
app_type	Type of application (e.g., 'utility')
kind	Kind code indicating the stage/type of publication (e.g., 'A1')
us_series_code	US Patent Series Code
claims_num	Number of claims in the application
drawings_num	Number of drawings included in the application
publication_id	Identifier for the specific publication document
file_name	Source file path where the data was parsed from
file_date	Original filing date of the patent application

Data based on notebook output for df_apps

Patent Grants (patents/grants)

Column Name	Description
ticker	Stock ticker symbol of the associated company
date	Grant date of the patent
grant_id	Unique identifier for the granted patent
org_name	Name of the organization listed on the grant (assignee)
source	Source category for company mapping (e.g., 'listed')
subsidiary	Specific subsidiary name identified (if applicable)
application_id	Original application ID corresponding to the grant
title	Title of the granted patent
abstract	Abstract or summary of the granted patent
description	Detailed description of the invention
claims	Specific claims allowed in the granted patent
country	Country code where the patent was granted (e.g., 'US')
location	Geographic location associated with the assignee (e.g., State)
ipc3	International Patent Classification (IPC) code (3-digit level)
naics	North American Industry Classification System (NAICS) code
app_type	Type of application that led to the grant (e.g., 'utility')
kind	Kind code indicating the type of grant document (e.g., 'B1', 'A')
us_series_code	US Patent Series Code
grant_length	Expected term length of the patent grant (e.g., 20 years)
claims_num	Number of claims allowed in the grant
drawings_num	Number of drawings included in the grant publication
file_name	Source file path where the data was parsed from
file_date	Original filing date of the application leading to the grant

Use Cases

1. R&D Trend Analysis: Track innovation trends within companies, sectors, or specific technology areas.

2. Competitive Intelligence: Monitor competitors' patenting activities to understand their strategic focus and technological advancements.

3. Innovation Benchmarking: Compare the volume, quality, and technological focus of patent portfolios across companies.

4. Technology Landscaping: Map out key technologies and identify white spaces or crowded areas within a specific domain.

5. M&A Due Diligence: Assess the intellectual property portfolio of potential acquisition targets.

6. Investment Analysis: Use patent data as an indicator of a company's innovation potential and future growth prospects.

7. Litigation Risk Assessment: Identify potential patent infringement risks by analyzing overlapping claims or technologies.

8. Identifying Key Inventors/Assignees: Track prolific inventors or shifts in patent ownership.

9. Geographic Innovation Analysis: Analyze where patent activity is concentrated geographically.

10. Linking Patents to Products: Understand which patents might underpin key products or services of a company.

This dataset provides a valuable resource for understanding corporate innovation landscapes and intellectual property trends.