patent-search

Patent prior art searches can be performed using BigQuery to access 76M+ worldwide patents with keyword and CPC classification filtering, or PatentsView for detailed US patent metadata including inventors, assignees, and citations. Both methods support complex boolean queries and date ranges to narrow results efficiently.

Yes, both BigQuery and PatentsView support targeted searches by inventor and assignee. PatentsView provides detailed US patent metadata including inventor and assignee information, enabling you to locate all patents associated with specific individuals or organizations and explore their citation networks.

Freedom-to-operate analyses use patent searches to identify competing patents and prior art. This Skill enables structured queries with CPC filtering, date ranges, and citation-network exploration across 76M+ patents, helping you assess patent landscapes and potential infringement risks systematically.

Complex boolean queries are constructed using Python helper scripts that support field-specific matching, exact phrases, and logical operators. The Skill integrates with BigQuery and PatentsView APIs to execute these queries while respecting rate limits (45 requests per minute) and handling pagination.

Yes, CPC classification filtering is a core feature available through BigQuery for global patent searches. The Skill supports structured queries using CPC codes to refine results, enabling you to focus on specific technology categories and narrow patent landscapes by classification.

Patent searches are rate-limited to 45 requests per minute through PatentsView and BigQuery APIs. BigQuery covers 76M+ worldwide patents while PatentsView provides richer US patent metadata; choose based on geographic scope and detail requirements. Results require pagination handling for large datasets.