patent-analysis-guide

Patent Analysis Guide

A skill for conducting patent research, landscape analysis, and prior art searches. Covers patent database APIs, classification systems, citation network analysis, claim parsing, and technology trend mapping for intellectual property research.

Patent Data Sources

Major Patent Databases

Programmatic Patent Search

import requests
import xml.etree.ElementTree as ET

class EPOClient:
    """Client for the EPO Open Patent Services (OPS) API."""

    BASE_URL = "https://ops.epo.org/3.2/rest-services"

    def __init__(self, consumer_key: str, consumer_secret: str):
        self.token = self._authenticate(consumer_key, consumer_secret)

    def _authenticate(self, key: str, secret: str) -> str:
        import base64
        credentials = base64.b64encode(f"{key}:{secret}".encode()).decode()
        resp = requests.post(
            "https://ops.epo.org/3.2/auth/accesstoken",
            headers={"Authorization": f"Basic {credentials}"},
            data={"grant_type": "client_credentials"},
        )
        return resp.json()["access_token"]

    def search(self, cql_query: str, max_results: int = 25) -> list[dict]:
        """
        Search patents using CQL (Common Query Language).
        Example queries:
          ta="machine learning" AND cl="neural network"
          pa="university" AND pd>=2020
        """
        resp = requests.get(
            f"{self.BASE_URL}/published-data/search",
            headers={"Authorization": f"Bearer {self.token}",
                     "Accept": "application/json"},
            params={"q": cql_query, "Range": f"1-{max_results}"},
        )
        return resp.json()