Patent Space
Analyze global patent data and technology landscapes to uncover strategic insights and competitive trends.
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What it can do
- Tool Adversarial Strategy: Compare two firms' patent portfolios and generate strategic scenarios. Performs game-theoretic analysis of two firms' technology territories, identifying attack targets, def
- Tool Applicant Network: Build co-applicant network for a target applicant. Args: applicant: Company name (any language) or stock ticker. depth: Traversal depth from center node. min_co_patents: Minimu
- Tool Bayesian Scenario: Bayesian patent investment simulation with data-driven priors. Three modes: "init" builds priors from patent data, "update" incorporates user's private information via Bayesian
What data it sees
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Analyze global patent data and technology landscapes to uncover strategic insights and competitive trends. Evaluate company portfolios and market signals to identify M&A targets, licensing opportunities, and technological synergies. Assess invention readiness and freedom-to-operate risks while discovering untapped whitespace for innovation.
Server tool list (29)
Raw names from tools/list. Only developers need these.
| tool_adversarial_strategy | Compare two firms' patent portfolios and generate strategic scenarios. Performs game-theoretic analysis of two firms' technology territories, identifying attack targets, defense priorities, and preemption opportunities. Args: firm_a: First company name (any language) or ticker. firm_b: Second company name (any language) or ticker. year: Analysis year (default: 2024). scenario_count: Number of strategic scenarios to generate (default: 3). Returns: Overview (overlap, tech distance, negotiation power), territory map (overlap/exclusive/unclaimed clusters), and strategic scenarios. |
| tool_applicant_network | Build co-applicant network for a target applicant. Args: applicant: Company name (any language) or stock ticker. depth: Traversal depth from center node. min_co_patents: Minimum shared patents to keep an edge. Returns: Center entity and graph-style nodes/edges of co-filing links. |
| tool_bayesian_scenario | Bayesian patent investment simulation with data-driven priors. Three modes: "init" builds priors from patent data, "update" incorporates user's private information via Bayesian updating, "simulate" runs Monte Carlo simulation. All prior parameters are evidenced by patent/GDELT data. Args: mode: "init" (start scenario), "update" (adjust parameter), "simulate" (run). technology: Cluster ID or tech description (required for init). firm_query: Optional firm name for context. investment_cost: Investment amount in 万円 (default: 10000). time_horizon_years: Analysis period (default: 10). session_id: Session ID from init (required for update/simulate). parameter: Parameter name to update (for update mode). user_value: User's estimated value (for update mode). user_confidence: 0-1 confidence in user value (default: 0.5). Returns: Init: priors with evidence. Update: posterior distribution. Simulate: NPV distribution, cashflow, breakeven, sensitivity. |
| tool_citation_network | Build a patent citation network around a patent or firm's top patents. Two modes: patent mode (BFS from a single patent) or firm mode (finds firm's most-cited patents, builds network from those). Returns graph structure with nodes, edges, and hub patent identification. Args: publication_number: Seed patent for patent mode. firm_query: Company name/ticker for firm mode. depth: BFS traversal depth (1 or 2). direction: "forward", "backward", or "both". max_nodes: Maximum network nodes (default: 50). Returns: Nodes (patent metadata), edges (citation links), metrics (hub patents, density, degree distribution). |
| tool_cross_border_similarity | Detect similar patent filings across international jurisdictions. Finds patents in target countries that match a firm's portfolio, a specific patent, or a technology description. Useful for FTO monitoring, licensing opportunities, and portfolio surveillance. Always includes legal disclaimer. Args: query: Firm name, publication number, or technology description. query_type: "firm", "patent", or "text" (default: "firm"). target_jurisdictions: Country codes to search (default: ["CN","KR","US","EP"]). min_similarity: Minimum CPC overlap threshold (default: 0.7). time_window: "after", "before", or "all" relative to source filing. top_n: Maximum results (default: 20). Returns: Similar filings with similarity scores, time lags, CPC overlap, family relationships, and legal disclaimer note. |
| tool_cross_domain_discovery | Discover cross-domain technology clusters related to a query. Finds technology clusters in different CPC sections that share embedding-space proximity with the source domain. Args: query: CPC code (e.g. "H01M") or free-text technology description. top_n: Maximum number of results (default: 10). exclude_same_domain: Exclude clusters from the same CPC section (default: True). min_similarity: Minimum cosine similarity threshold (default: 0.3). Returns: Source info, list of cross-domain cluster discoveries with momentum, top players, bridging patents, and connection hypotheses. |
| tool_entity_resolve | Resolve a company name to its canonical form. Accepts names in any language/format. Uses 3-level matching: exact, normalized, and fuzzy. Args: query: Company name to resolve (any language). limit: Maximum results to return. Returns: List of matching entities with confidence scores. |
| tool_firm_patent_portfolio | Get a firm's patent portfolio analysis. Accepts firm name in any language (Japanese/English) or stock ticker. Returns patent counts, technology distribution (CPC), filing trends, and co-applicant relationships. Args: firm: Company name (any language) or stock ticker (e.g., "7203"). date: Cut-off date in YYYY-MM-DD format (default: all time). include_expired: Include expired patents in analysis. Returns: Dict with entity info, patent count, CPC distribution, filing trends, and co-applicants. |
| tool_firm_tech_vector | Get a firm's precomputed technology vector and diversity metadata. Fast lookup from pre-computed table. Returns patent_count, dominant_cpc, tech_diversity (entropy), tech_concentration, and the full tech_vector. Data available for ~4,300 firms, years 2015-2024. Args: firm_query: Company name (any language), stock ticker, or firm_id. year: Analysis year (default: 2024). Falls back to latest available year. Returns: Dict with firm_id, year, patent_count, dominant_cpc, tech_diversity, tech_concentration, and tech_vector (float array). |
| tool_gdelt_company_events | Fetch GDELT events/GKG and cached five-axis features for a firm. Returns pre-cached GDELT media signals: tone, event_count, theme_diversity, geographic_spread, and source_diversity. Data covers 2020Q1-2024Q4 for ~46 major firms. Args: firm_query: Company name (any language) or stock ticker. date_from: Start date as YYYYMMDD integer (e.g., 20200101). date_to: End date as YYYYMMDD integer (e.g., 20241231). Returns: Dict with five-axis features, event timeline, and summary. |
| tool_invention_intelligence | Analyze a technology description for prior art, FTO risk, and whitespace. Given a natural language description of an invention or technology, identifies the relevant patent cluster, finds prior art, assesses freedom-to-operate risk, and discovers whitespace opportunities. Args: text: Technology description in natural language (Japanese or English). max_prior_art: Maximum number of prior art results (default: 20). include_fto: Include FTO risk assessment (default: True). include_whitespace: Include whitespace opportunity analysis (default: True). Returns: Cluster landscape, prior art list, FTO assessment, whitespace opportunities, and strategic recommendations. |
| tool_ma_target | Recommend M&A acquisition targets based on patent portfolio analysis. Three strategies: "tech_gap" finds firms with complementary technology (fills acquirer's weak areas), "consolidation" finds firms with high overlap (strengthens market position), "diversification" finds firms in unrelated CPC sections (opens new markets). Args: acquirer: Acquiring company name or ticker. strategy: "tech_gap", "consolidation", or "diversification". top_n: Number of targets to return (default: 10). year: Analysis year (default: 2024). Returns: Ranked targets with synergy scores, overlap/complementary analysis, rationale, and M&A disclaimer. |
| tool_patent_compare | Compare multiple firms by patent volume, CPC mix, and trend. Args: firms: List of company names or tickers. cpc_prefix: Optional CPC prefix filter. date_from: Start date in YYYY-MM-DD format. date_to: End date in YYYY-MM-DD format. Returns: Per-firm portfolio metrics plus shared and unique CPC classes. |
| tool_patent_detail | Get detailed information for a specific patent. Args: publication_number: Patent publication number (e.g., "JP-2020123456-A"). JP granted patents use kind code B1: "JP-7637366-B1". JP applications use kind code A: "JP-2020-123456-A". Returns: Full patent record including CPC codes, assignees, inventors, and citations. |
| tool_patent_market_fusion | Combine patent portfolio strength with market signals for strategic analysis. Produces a fusion score combining tech_strength, growth_potential, diversity, and market_sentiment (GDELT). Supports investment screening, M&A target identification, and license partner matching. Args: query: Company name, technology description, CPC code, or patent publication number (e.g., JP-7637366-B1). query_type: "firm", "technology", "text", or "patent". Auto-detected if None. purpose: Analysis purpose — "investment", "ma_target", "license_match", or "general" (default: "general"). Changes component weights. year: Analysis year (default: 2024). max_results: Max firms to return in technology mode (default: 10). Returns: Fusion score with component breakdown. In firm mode: single firm analysis. In technology mode: ranked list of firms for the technology area. |
| tool_patent_search | Search patents by keyword, CPC code, applicant, or date range. Scans the full patent table (13M+ JP patents). May be slow under heavy I/O load. For technology-area analysis, prefer tech_landscape (by CPC) or startability_ranking (by firm or cluster) which use pre-computed data. Args: query: Free-text search (Japanese or English). Searches title and abstract. cpc_codes: Filter by CPC classification codes (e.g., ["G06N3"]). applicant: Filter by applicant/assignee name (partial match). jurisdiction: Country code filter (default: "JP"). date_from: Start date in YYYY-MM-DD format. date_to: End date in YYYY-MM-DD format. max_results: Maximum number of results (default: 20). Returns: Dict with patents list, result count, and total matching count. |
| tool_patent_valuation | Score patent, portfolio, or technology area value with royalty rate reference. Three modes: "firm" evaluates company portfolio strength, "patent" scores a single patent, "technology" evaluates a tech area by CPC code or keyword. All modes provide industry-specific royalty rate benchmarks. Args: query: Company name, patent number, or CPC code / technology keyword. query_type: "firm" (portfolio), "patent" (single), or "technology" (tech area). purpose: "licensing", "portfolio_ranking", or "divestiture". Returns: Value score with component breakdown, value tier, industry royalty rate reference, and top players (technology mode). |
| tool_portfolio_evolution | Track how a firm's technology portfolio evolved over time. Shows year-by-year changes in dominant technology areas, diversity, and concentration. Identifies emerging and declining technology investments. Summarizes strategic shifts. Args: firm_query: Company name (any language) or stock ticker. year_from: Start year (default: 2016). year_to: End year (default: 2024). Returns: Timeline with yearly metrics, emerging/declining clusters, and strategic shift summary. |
| tool_sales_prospect | Identify and rank patent licensing sales targets. Finds firms that need your technology, generates "why they need it" narratives, and provides approach guides with deal structure recommendations. No contact information is included. Args: firm_query: Licensor company name (your firm). patent_or_tech: Patent number, technology description, or cluster_id. query_type: "patent", "text", or "cluster" (default: "cluster"). target_count: Number of prospects to return (default: 10). Returns: Ranked prospects with fit scores, urgency, why_they_need_it narratives, evidence, and approach guides. |
| tool_similar_firms | Discover firms with similar patent portfolios. Computes cosine similarity between firm technology vectors across ~4,300 companies. Useful for M&A candidate discovery, partnership identification, and competitive benchmarking. Args: firm_query: Company name (any language) or stock ticker. top_n: Number of similar firms to return (default: 10). year: Analysis year (default: 2024). Returns: Ranked list of similar firms with similarity scores, shared clusters, and unique technology strengths. |
| tool_startability | Compute startability score for a firm-technology pair. Startability measures a firm's readiness to enter or compete in a technology area, combining tech_fit (phi_tech), organizational capability, and dynamic trajectory. Uses pre-computed surface data for fast lookup. Args: firm_query: Company name (any language), stock ticker, or firm_id. tech_query_or_cluster_id: Cluster ID (e.g., "H01M_0", "G06N_0") or CPC code. Use tech_clusters_list to browse available clusters. year: Analysis year (default: 2024). Available: 2016-2024. Returns: Dict with overall startability score (0-1), component breakdown, and interpretation. |
| tool_startability_delta | Compute change in startability scores over time. Shows which firm-technology pairs gained or lost the most startability. Requires multi-year startability surface data. Args: mode: "by_firm" (cluster deltas for one firm) or "by_tech" (firm deltas for one cluster). query: Firm name/ticker (by_firm) or cluster_id/CPC code (by_tech). year_from: Start year (default: 2020). year_to: End year (default: 2024). top_n: Number of results (default: 20). direction: "gainers" (highest delta), "losers" (lowest delta), or "both". Returns: Ranked list of pairs by startability delta with score_start, score_end, delta. |
| tool_startability_ranking | Rank tech clusters or firms using precomputed startability surface. Two modes: "by_firm" ranks technology clusters by startability for a given firm (what tech areas can this firm enter?). "by_tech" ranks firms by startability for a given cluster (who can enter this tech?). Args: mode: "by_firm" (rank clusters for one firm) or "by_tech" (rank firms for one cluster). query: Firm name/ticker (by_firm) or cluster_id like "H01M_0" (by_tech). year: Analysis year (default: 2024). Available: 2016-2024. top_n: Number of results (default: 20). page: Page number for pagination (default: 1). page_size: Results per page (default: 20). Returns: Ranked list with firm_id/cluster_id, score, and metadata. |
| tool_tech_clusters_list | List technology clusters with optional CPC filtering. Returns 607 technology clusters derived from CPC classification. Each cluster has a label, patent_count, top_applicants (top firms), and top_terms (keywords). Use cpc_filter to narrow by CPC section (e.g., "H01" for electrical elements, "G06" for computing). Args: sort_by: Sort field — "patent_count" (default) or "cluster_id". top_n: Maximum clusters to return (default: 200, max: 2000). cpc_filter: CPC prefix filter (e.g., "H01", "G06N"). Partial match on cluster_id. page: Page number for pagination (default: 1). page_size: Results per page (default: 20). Returns: Paginated list of clusters with cluster_id (e.g., "H01M_0"), label, patent_count, top_applicants, and top_terms. |
| tool_tech_fit | Compute phi_tech fit components for a firm and technology cluster. Measures how well a firm's patent portfolio aligns with a technology cluster. Returns CPC overlap ratio, citation proximity, co-inventor score, and combined phi_tech score. Args: firm_query: Company name (any language), stock ticker, or firm_id. tech_query_or_cluster_id: Cluster ID (e.g., "H01M_0", "G06N_0") or CPC code (e.g., "H01M"). Use tech_clusters_list to browse available clusters. year: Analysis year (default: 2024). Available: 2016-2024. Returns: Dict with phi_tech score and component breakdown (cpc_overlap, citation_proximity, co_inventor, combined). |
| tool_tech_gap | Analyze technology gap and synergy between two firms. Quantifies complementarity, overlap, and acquisition fit using startability surface data. Useful for M&A due diligence, partnership evaluation, and competitive positioning. Args: firm_a: First company name or ticker. firm_b: Second company name or ticker. year: Analysis year (default: 2024). Returns: Overlap areas, each firm's strengths, synergy score, overlap score, and acquisition fit classification. |
| tool_tech_landscape | Analyze filing trends and top applicants in a technology area. Args: cpc_prefix: CPC prefix filter (e.g., "G06N"). query: Optional free-text filter on title/abstract. date_from: Start date in YYYY-MM-DD format. date_to: End date in YYYY-MM-DD format. granularity: Time granularity, "year" or "quarter". Returns: CPC trend, top applicants, growth areas, and total patent count. |
| tool_tech_trend | Analyze time-series technology trends with growth rates and new entrants. Given a technology query, returns year-by-year filing trends, growth rates, acceleration, new entrant detection, and sub-area breakdown. Supports Japanese/English keywords, CPC codes, and cluster IDs. Args: query: Technology keyword, CPC code, or cluster_id. cpc_prefix: Optional CPC prefix filter. year_from: Start year (default: 2016). year_to: End year (default: 2024). top_n: Maximum results per category (default: 20). Returns: Timeline with yearly growth rates, sub-area breakdown, top firms, new entrants, and overall trend assessment. |
| tool_tech_trend_alert | Detect hot and cooling technology trends with market signals. Automatically identifies rapidly growing technology clusters, firms entering multiple hot areas, and declining clusters. Integrates GDELT media signals where available. All signals are expressed probabilistically. Args: year_from: Start year for trend analysis (default: 2020). year_to: End year (default: 2024). min_growth: Minimum growth rate to flag as "hot" (default: 0.3). top_n: Maximum results per category (default: 20). Returns: Hot clusters with top entrants, rising firms, cooling clusters, and evidence-backed signals. |