Use this API to retrieve patent assignment information from the USPTO assignment search database and generate XML files with the search results. An XML file with search results contains a list of found documents and their categorization. For API, please use Chrome or Safari browser.

Patent Examination Data System lets customers retrieve and download multiple records of USPTO patent application or patent filing status at no cost. PEDS contains the bibliographic, published document and patent term extension data tabs in Public PAIR from 1981 to present. There is also some data dating back to 1935. Customers can download the entire dataset containing the data for all indexed documents. There are over 13 million records in PEDS. The data can be accessed by anyone using the web interface or the provided Application Programming Interface (API). PEDS is updated daily and mirrors the data available in the Patent Application Location and Monitoring (PALM) system. PEDS provides access to public applications including: published patent applications and patents, and PCT applications that have not been published by WIPO. Any applications that have not been released by the USPTO will not be available in PEDS.

USPTO Patent Examiner Data System (PEDS) API Data contains data from the examination process of USPTO patent applications. PEDS contains the bibliographic, published document and patent term extension data tabs in Public PAIR from 1981 to present. There is also some data dating back to 1935.

The Patent Trial and Appeal Board (PTAB) API is a RESTful API with an easy to use search interface. You can easily browse USPTO PTAB public documents, search for specific content, and request a bulk download of PTAB content. The PTAB API synchronizes close to real time with the PTAB E2E (End-to-End) system making the latest public America Invents Action (AIA) Trial information and documents available. PTAB API v2 has text search capabilities for decision documents.

Fork this notebook to get started on accessing data in the BigQuery dataset by writing SQL queries using the BQhelper module.

Context

Patent Examination Data System gives users access to multiple records of USPTO patent application or patent filing status at no cost. PEDS is updated daily and mirrors the data available in the Patent Application Location and Monitoring system (PALM). PEDS provides access to public applications including: published patent applications and patents. PCT applications that have not been published by WIPO. Any applications that have not been released by the USPTO will not be available in PEDS.

Content

USPTO Patent Examiner Data System (PEDS) API Data contains data from the examination process of USPTO patent applications. PEDS contains the bibliographic, published document and patent term extension data tabs in Public PAIR from 1981 to present. There is also some data dating back to 1935.

Fork this notebook to get started on accessing data in the BigQuery dataset using the BQhelper package to write SQL queries.

Acknowledgements

"Patent Examination Data System" by the USPTO, for public use.

Data Origin: https://bigquery.cloud.google.com/dataset/patents-public-data:uspto_peds

Banner photo by Thought Catalog on Unsplash

Contains detailed information derived from the Office Actions issued by patent examiners to applicants during the patent examination process. The “Office Action” is a written notification to the applicant of the examiner’s decision on patentability. It generally discloses the reasons for any rejections, objections, or requirements and includes relevant information or references that the applicant may find useful for responding to the examiner and deciding whether to continue prosecuting the application.

This API allows for daily refresh and retrieval of rejection data from Office Actions mailed from June 1, 2018 to 180 days prior to the current date. It contains document level data including the type of actions taken on claims in the Office Action.

USPTO Patent Trial and Appeal Board (PTAB) API Data contains data from the PTAB E2E (end-to-end) system making public America Invents Action (AIA) Trials information and documents available.

The Trademark Image Search API (beta) allows searching Trademark Images using various attributes like feature, accuracy, metricspaces and candidates. This API also allows searching Trademark documents using various metadata attributes like Specimen Description, Filing Description, Filing Basis, Owner's Name, Street Address, etc.

The Trademark Status and Document Retrieval (TSDR) API allows you to make programmatic requests for trademark case status, documents, and images. Beginning on October 2, 2020, you will need an API key to download bulk data from TSDR using the TSDR API. Using API keys will help optimize usage of our TSDR system, which will help enable users like yourself to better access the information you need from TSDR. The below resources will provide you with more information on using the TSDR API. If you have questions about the TSDR API or need assistance with your API key, please email APIhelp@uspto.gov.

Use this API to search Patent Litigation Cases. The Patent Litigation Dataset contains detailed patent litigation data on 74,623 unique district court cases filed during the period 1963-2015. OCE collected all of the data from the Public Access to Court Electronics Records (PACER) and RECAP, an independent project designed to serve as a repository for litigation data sourced from PACER.

The Intellectual Property (IP) Marketplace Platform, also called Patents 4 Partnerships is an initiative of the U.S. Patent and Trademark Office (USPTO) that brings together those who have technologies and want to make them available for licensing and those who have an interest in and the ability to commercialize the technologies. The IP Marketplace Platform provides a voluntary listing of patents and patent application publications (pre-grant publications, pgpubs) indicated as available for licensing on external public websites or in the USPTO Patent Official Gazette Notices. It also offers a link to sources that include the licensing information.

Contains detailed information derived from the Office actions issued by patent examiners to applicants during the patent examination process. The Office Action is a written notification to the applicant of the examiners decision on patentability. It generally discloses the reasons for any rejections, objections, or requirements and includes relevant information or references that the applicant may find useful for responding to the examiner and deciding whether to continue prosecuting the application. This api refreshes daily and contains publicly available Office Actions starting with 12 series applications.

Contains detailed information derived from the Office actions issued by patent examiners to applicants during the patent examination process. The Office Action is a written notification to the applicant of the examiners decision on patentability. It generally discloses the reasons for any rejections, objections, or requirements and includes relevant information or references that the applicant may find useful for responding to the examiner and deciding whether to continue prosecuting the application. This API allows for retrieval of citation data from 4.4 million Office actions mailed during the 2008 to mid-2017 period from USPTO examiners to the applicants of 2.2 million unique patent applications. It uses information derived from citations referenced on the Form PTO-892, Form PTO-1449, and text of Office Actions.

The Enriched Citation API provides the Intellectual Property 5 (IP5 - EPO, JPO, KIPO, CNIPA, and USPTO) and the Public with greater insight into the patent evaluation process. It allows users to quickly view information about which references, or prior art, were cited in specific patent application Office Actions, including: bibliographic information of the reference, the claims that the prior art was cited against, and the relevant sections that the examiner relied upon. The API allows for daily refresh and retrieval of enrich citation data from Office Actions mailed from October 1, 2017 to 30 days prior to the current date.

Schema: Patent No (x) Inventor Name (y) Inventor Last Name (before the semicolon) Inventor First Name + Middle Name (after the semicolon) Original Sequence of (y) in (x) Disambiguated Inventor ID X,XXX,XXX-Y, where X,XXX,XXX is the very first patent of that inventor and Y is the order of appearance of that inventor in X,XXX,XXX City State Country County name IF IN USA FIPS 5-digit (state + city combined) IF IN USA FIPS 2-digit (state code) IF IN USA FIPS 3-digit (city code) IF IN USA Latitude disambiguated Longitude disambiguated Zipcode IF IN USA Metropolitan statistical area (MSA) IF IN USA Assignee PDPASS Data source: Latitude, longitude: Google MAP API County and FIPS code: US Census Zipcode and ZCTA translation: USPS MSA: US Department of Labor Assignee PDPASS: based on NBER 1976-2006, expanded by way of KNN

The Cancer Moonshot Patent Data Set API allows the public to discover and search USPTO Cancer Moonshot Patent Data.

This dataset contains citations from USPTO patents granted 1947-2018 to articles captured by the Microsoft Academic Graph (MAG) from 1800-2018. If you use the data, please cite these two papers: for the dataset of citations: Marx, Matt and Aaron Fuegi, "Reliance on Science in Patenting: USPTO Front-Page Citations to Scientific Articles" (https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3331686). for the underlying dataset of papers Sinha, Arnab, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June (Paul) Hsu, and Kuansan Wang. 2015. An Overview of Microsoft Academic Service (MAS) and Applications. In Proceedings of the 24th International Conference on World Wide Web (WWW ’15 Companion). ACM, New York, NY, USA, 243-246. The main file, pcs.tsv, contains the resolved citations. Fields are tab-separated. Each match has the patent number, MAG ID, the original citation from the patent, an indicator for whether the citation was supplied by the applicant, examiner, or unknown, and a confidence score (1-10) indicating how likely this match is correct. Note that this distribution does not contain matches with confidence 2 or 1. There is also a PubMed-specific match in pcs-pubmed.tsv. The remaining files are a redistribution of the 1 January 2019 release of the Microsoft Academic Graph. All of these files are compressed using ZIP compression under CentOS5. Original files, documented at https://docs.microsoft.com/en-us/academic-services/graph/reference-data-schema, can be downloaded from https://aka.ms/msracad; this redistribution carves up the original files into smaller, variable-specific files that can be loaded individually (see _relianceonscience.pdf for full details). Source code for generating the patent citations to science in pcs.tsv is available at https://github.com/mattmarx/reliance_on_science. Source code for generating jif.zip and jcif.zip (Journal Impact Factor and Journal Commercial Impact Factor) is at https://github.com/mattmarx/jcif. Although MAG contains authors and affiliations for each paper, it does not contain the location for affiliations. We have created a dataset of locations for affiliations appearing at least 100x using Bing Maps and Google Maps; however, it is unclear to us whether the API licensing terms allow us to repost their data. In any case, you can download our source code for doing so here: https://github.com/ksjiaxian/api-requester-locations. MAG extracts field keywords for each paper (paperfieldid.zip and fieldidname.zip) --more than 200,000 fields in all! When looking to study industries or technical areas you might find this a bit overwhelming. We mapped the MAG subjects to six OECD fields and 39 subfields, defined here: http://www.oecd.org/science/inno/38235147.pdf. Clarivate provides a crosswalk between the OECD classifications and Web of Science fields, so we include WoS fields as well. This file is magfield_oecd_wos_crosswalk.zip.

Patent data is aggregated across multiple Intellectual Property (IP) registries, including USPTO, CIPO, EUIPO and WIPO (USA, Canada, Europe). Our complete dataset of active patent records is updated weekly. Customized reports available based on company lists, or full dataset via raw feed or one-off reports. Full bibliographic data provided for each IP record; including filing date, grant date, expiry date, inventor(s), IPC, full text abstract, title, etc. Ownership/entity relationship mapping, ticker mapping, ISIN mapping, Crunchbase uuid mapping, Crunchbase domain mapping. We also provide our proprietary IP Activity Score for each owner, which can assist to compare recent innovation activity amongst owners, as reflected in their Intellectual Property filings.

Ipqwery's Patent data is also available as a combined dataset with our Trademark dataset, enabling full IP profiles for corporate entities.

patCit: A Comprehensive Dataset of Patent Citations [Newsletter, GitHub] Patents are at the crossroads of many innovation nodes: science, industry, products, competition, etc. Such interactions can be identified through citations in a broad sense. It is now common to use front-page patent citations to study some aspects of the innovation system. However, there is much more buried in the Non Patent Literature (NPL) citations and in the patent text itself. patCit extracts and structures these citations. Want to know more? Read patCit academic presentation or dive into usage and technical guides on patCit documentation website. IN PRACTICE At patCit, we are building a comprehensive dataset of patent citations to help the community explore this terra incognita. patCit has the following features: global coverage front-page and in-text citations all categories of NPL documents Front-page patCit builds on DOCDB, the largest database of Non Patent Literature (NPL) citations. First, we deduplicate this corpus and organize it into 10 categories (bibliographical reference, database, norm & standard, etc). Then, we design and apply category specific information extraction models using spaCy. Eventually, when possible, we enrich the data using external domain specific high quality databases (e.g. Crossref for bibliographical references). In-text patCit builds on Google Patents corpus of USPTO full-text patents. First, we extract patent and bibliographical reference citations. Then, we parse detected in-text citations into a series of category dependent attributes using grobid. Patent citations are matched with a standard publication number using the Google Patents matching API and bibliographical references are matched with a DOI using biblio-glutton. Eventually, when possible, we enrich the data using external domain specific high quality databases (e.g. Crossref for bibliographical references). FAIR Find - The patCit dataset is available on BigQuery in an interactive environment. For those who have a smattering of SQL, this is the perfect place to explore the data. It can also be downloaded on Zenodo. Interoperate - Interoperability is at the core of patCit ambition. We take care to extract unique identifiers whenever it is possible to enable data enrichment for domain specific high quality databases. This includes the DOI, PMID and PMCID for bibliographical references, the Technical Doc Number for standards, the Accession Number for Genetic databases, the publication number for PATSTAT and Claims, etc. See specific table for more details. Reproduce - Our gitHub repository is the project factory. You can learn more about data recipes and models on the patCit documentation website.

Trademark data aggregated across multiple Intellectual Property (IP) registries, including USPTO, CIPO, EUIPO and WIPO (USA, Canada, Europe). Full dataset updated weekly, available via customized reports, raw feed, or one-off reports. Full bibliographic data provided for each trademark record; filing date, registration date, NICE classification, Trademark name, type, etc. Ownership/entity relationship mapping, ticker mapping, ISIN mapping, Crunchbase uuid mapping, Crunchbase domain mapping. We also provide our proprietary IP Activity Score for each owner, which can assist to compare recent innovation activity amongst owners, as reflected in their intellectual property filings.

Ipqwery's Trademark dataset is also available as a combined dataset with our Patent dataset, enabling full IP profiles for corporate entities.