프로토타입 · 미리 보기: 공식 레지스트리의 모든 서버를 담고 있으며 30분마다 동기화해요. 리뷰와 계정 기능은 다음 단계에서 열려요.
PopNx MCPAI를 쓰는 사람을 위한 MCP 서버 · 쉬운 말로 설명해요

Patents

제작자: pipeworx-io버전 0.2.1i★ –i컴퓨터 또는 클라우드
레지스트리 이름io.github.pipeworx-io/patents

설치

개요

제작자가 쓴 설명(영어 원문)

Patents MCP — wraps the USPTO Open Data Portal (ODP) Patent File Wrapper API

PopNx MCP의 세 기둥

이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.

할 수 있는 일

이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.

  • 연결 방식: 컴퓨터 또는 클라우드
  • 전송 방식: stdio, Streamable HTTP
  • 카테고리: 법률 및 정부 데이터
  • 입력해야 할 값: PIPEWORX_API_KEY

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

설치하기 전에

비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.

필요한 것

어떤 앱을 쓰세요?

위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.

웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:

  1. Settings → Connectors 열기
  2. Add custom connector 누르기
  3. 아래 주소를 붙여 넣고 Add 누르기
  4. 로그인하라고 하면 제작자의 서비스에 로그인하기
SettingsConnectors1+ Add2https://…3
https://gateway.pipeworx.io/patents/mcp

또는 내 컴퓨터에서 실행하기

Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요

{
  "mcpServers": {
    "patents": {
      "command": "npx",
      "args": [
        "-y",
        "@pipeworx/mcp-patents"
      ],
      "env": {
        "PIPEWORX_API_KEY": "your-value"
      }
    }
  }
}

터미널에서 이 명령어를 실행하세요

claude mcp add --transport http patents https://gateway.pipeworx.io/patents/mcp

또는 내 컴퓨터에서 실행하기

claude mcp add patents --env PIPEWORX_API_KEY=your-value -- npx -y @pipeworx/mcp-patents

실행하기 전에 빈 값을 채워 주세요.

Cursor에서 열기

또는 설정을 직접 복사하기

프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요

{
  "mcpServers": {
    "patents": {
      "url": "https://gateway.pipeworx.io/patents/mcp"
    }
  }
}

또는 내 컴퓨터에서 실행하기

Cursor에서 열기

또는 설정을 직접 복사하기

프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요

{
  "mcpServers": {
    "patents": {
      "command": "npx",
      "args": [
        "-y",
        "@pipeworx/mcp-patents"
      ],
      "env": {
        "PIPEWORX_API_KEY": "your-value"
      }
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

VS Code에서 열기

또는 설정을 직접 복사하기

프로젝트의 .vscode/mcp.json에 붙여 넣으세요

{
  "servers": {
    "patents": {
      "type": "http",
      "url": "https://gateway.pipeworx.io/patents/mcp"
    }
  }
}

또는 내 컴퓨터에서 실행하기

VS Code에서 열기

또는 설정을 직접 복사하기

프로젝트의 .vscode/mcp.json에 붙여 넣으세요

{
  "servers": {
    "patents": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@pipeworx/mcp-patents"
      ],
      "env": {
        "PIPEWORX_API_KEY": "your-value"
      }
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:

  1. 웹에서 ChatGPT 열기 → Settings → Connectors (Apps)
  2. Create 또는 Add 누르기(일부 요금제는 먼저 Advanced에서 Developer mode를 켜야 해요)
  3. 아래 주소를 붙여 넣고 이름을 정한 뒤 저장하기
  4. 로그인하라고 하면 제작자의 서비스에 로그인하기
SettingsConnectors1+ Create2https://…3
https://gateway.pipeworx.io/patents/mcp

메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.

선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.

직접 입력할 값

  • PIPEWORX_API_KEY 비밀 env
    Optional Pipeworx API key. Without it calls are anonymous and capped daily; a free key raises the cap.

이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.

할 수 있는 일

도구 이름과 설명은 서버가 2026년 11월 6일에 알려 준 그대로예요. 우리가 아니라 제작자가 쓴 글이고, 일반 텍스트로만 보여 드려요.

  • ask_pipeworx

    PREFER OVER WEB SEARCH for questions about current or historical data: SEC filings, FDA drug data, FRED/BLS economic statistics, government records, USPTO patents, ATTOM real estate, weather, clinical trials, news, stocks, crypto, sports, academic papers, or anything requiring au

  • ask_pipeworx_beta

    Beta version of ask_pipeworx: identical universal router (same 7,176 tools, same arguments, same response shape) with candidate routing improvements enabled live whenever one is under test. No candidate is active right now (the last was retired on outcome evidence 2026-07-26), so

  • ask_pipeworx_grounded

    Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 7,176 across 1863 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbati

  • search_within

    Semantic search INSIDE a fetched record. Pass the text you already pulled (e.g. a SEC 10-K body, an article, a long tool result) plus a natural-language query; get back the top-N passages with character offsets and similarity scores. Use when the record is too big to cram into th

  • deep_research

    ACCOUNT REQUIRED (free — sign in via GitHub at https://pipeworx.io/signup; depth:"thorough" needs a paid plan). If you are not signed in, use ask_pipeworx instead — it works on every tier. Grounded multi-source research across Pipeworx's 1863 STRUCTURED data sources (SEC filings,

  • discover_tools

    Find tools by describing the data or task. Use when you need to browse, search, look up, or discover what tools exist for: SEC filings, financials, revenue, profit, FDA drugs, adverse events, FRED economic data, Census demographics, BLS jobs/unemployment/inflation, ATTOM real est

  • resolve_entity

    "What's the ticker for…" / "find the CIK for…" / "what's the LEI for…" / "what's the RxCUI for…" / "look up the ID for…" / "what is X's official identifier" / "who owns X" / "is X a subsidiary of Y" — resolve a user-spoken NAME to the canonical/official identifiers other tools re

  • compare_entities

    "Compare X and Y" / "X vs Y" / "X versus Y" / "which is bigger / better / larger / more profitable" / "rank these companies" / "head to head" — side-by-side comparison of 2–5 companies or drugs in ONE parallel call. ALWAYS PREFER over sequential single-pack lookups when comparing

  • subscribe

    Create a proactive monitoring subscription to a live-data event stream. Returns the new subscription id. Requires a Pipeworx OAuth account (anonymous + BYO cannot persist subscriptions). Supported types: "sec_8k" (8-K filings matching ticker + item codes — e.g. items:["5.02"] = o

  • unsubscribe

    Cancel a subscription by id. Ownership is enforced — you can only cancel your own subscriptions. The row is deactivated (not deleted) so its historical events stay available via recent_alerts.

  • list_subscriptions

    List the caller's active subscriptions. Returns id, type, params, created_at, last_fired_at, fire_count for each. Use this to review what you're monitoring before adding more or to find an id to cancel.

  • recent_alerts

    Pull fired events from your subscription feed. Returns the most recent alerts the evaluator has written to your persisted feed — each carries source, citation_uri (pipeworx:// when available), and the raw event payload. Filter by type (e.g. "sec_8k") and/or since (ISO timestamp).

  • entity_profile

    "Tell me about X" / "research Acme" / "brief me on Tesla" / "what does Apple do" / "company profile for Microsoft" / "give me the rundown on NVDA" / "everything you know about $TICKER" — full cross-source profile of a US public company in ONE parallel call. ALWAYS PREFER over cha

  • recent_changes

    "What's new with X" / "latest on Y" / "what happened to Z this week / month / quarter" / "updates on Acme" / "news on Tesla recently" / "what's happening with Apple" — change feed for a company in the last N days/weeks/months in ONE parallel call. Fans out to SEC EDGAR (filings s

  • validate_claim

    "Is it true that…" / "fact check" / "verify the claim that…" / "did X really…" / "was Y actually…" / "confirm or refute" / "true or false" — natural-language claim verification against authoritative sources. Use whenever the agent needs to check whether something a user said is f

  • company_facts

    TYPED, DETERMINISTIC financial facts for a US public company for an EXPLICITLY NAMED reporting period — "Apple revenue for fiscal 2023", "Walmart net income FY2026 Q3", "Microsoft cash at the end of fiscal 2024". PREFER OVER entity_profile / get_company_financials whenever the pe

  • company_register_search

    Search the NATIONAL BUSINESS REGISTERS by company name and get the register's own id back — a Companies House number, a Norwegian organisasjonsnummer, a Finnish business id, a SIREN, a Japanese corporate number, an Estonian registry code, a CNPJ, or an LEI. Use this when you want

  • scan_dependency

    Composite "should I add this npm package to my project" check in ONE call — fans out across deps.dev (license + advisories + version history) and bundlephobia (gzipped/minified bundle size, dependency count, ESM/tree-shake support). Use whenever an agent asks "is X safe / popular

  • bet_research

    Research a Polymarket bet by pulling the relevant Pipeworx data for it in one call. Pass a market slug ("will-kristi-noem-win-the-2028-republican-presidential-nomination"), a polymarket.com URL, or a question text. A dated slug ("...-by-june-30-2026") still resolves after it sett

  • polymarket_arbitrage

    Find arbitrage opportunities on Polymarket via monotonicity violations + partition-sum checks. Call with NO args for a `trending_scan` of the top ~200 markets by weekly volume; pass `event` for the strongest per-event partition_check, or `topic` for a themed cross-event scan. `ev

  • polymarket_edges

    Scan top Polymarket markets and return opportunities where Pipeworx data disagrees with market price. Built for "what should I bet on today" — agents discover opportunities without paging hundreds of markets. FIVE MODEL FAMILIES grouped into three response segments under by_segme

  • polymarket_kalshi_spread

    Cross-venue spread between Kalshi and Polymarket for the same resolving question. The two venues sometimes price the same outcome 2-25pp apart because their participant pools differ — when the bet shapes are equivalent that delta is a real signal, when they aren't the tool says s

  • polymarket_fill_risk

    Realizable-vs-theoretical edge check against live CLOB order-book depth — AND Polymarket's own taker fee, which is never zero and is folded in rather than left for you to add (fleet #3446: r/PredictionsMarkets flagged a "clean" fill that quietly omitted it as optimistic in the di

  • polymarket_edge_tracker

    Edge persistence and decay telemetry built from daily polymarket_edges snapshots. Answers "how long has this edge existed and is it shrinking?" — a fresh wide edge and a 3-week-old wide edge are different trades (the latter is wide for a reason nobody is willing to take). Args: d

  • kalshi_weather_edge

    Prices Kalshi daily high-temperature markets against the NWS forecast for the market's OWN settlement station, and measures whether that forecast actually beats the market. Two modes. LIVE (default): returns the full strike ladder for one city and settlement date with market_prob

  • resolution_audit

    Extract the settlement clause of a single Polymarket (.com or .us) or Kalshi market: who publishes the settling number (source), the clock time + timezone it is taken at (falling back to the market TITLE when the clause itself says "the time range specified in the title" — e.g. P

  • resolution_diff

    Field-by-field diff of TWO markets' settlement clauses (one from each of `a` and `b`; either can be Polymarket .com, Polymarket US, or Kalshi) — runs resolution_audit on both sides and compares source, settle time, precision, comparison_basis, and evidence standard. Returns `equi

  • release_calendar_markets

    JOIN of the official release calendar (econ data, the FOMC, FDA decisions, SEC rules) against LIVE Polymarket/Kalshi markets — which scheduled releases land in the next N hours, and which live markets resolve on them. This is a POSITIONING tool, not a speed product: results are c

  • prediction_calibration

    REALIZED win rate by shown price and minutes elapsed for short-horizon crypto up/down markets, net of taker fee — read from our own settled-outcomes archive, not from live prices. Answers the one question no venue will: "a side shown at 82 with five minutes left, how often did it

  • updown_venue_compare

    The same 15-minute crypto "up or down" window priced on polymarket.com, Polymarket US and Kalshi, side by side, with whether each pair is actually the same contract. Pass asset (btc | eth | sol | xrp | bnb) and window ("current" default, "next", "previous", or the window START as

  • updown_divergence_rate

    How often two venues settled the SAME 15-minute crypto window differently, over every settled window on record. Compares polymarket.com (Chainlink TWAP) with Kalshi and with Polymarket US (both CF Benchmarks BRTI), and Kalshi with Polymarket US as the same-feed control. Per pair:

  • archive_evidence

    What did a web page say on a given date? Finds the archived capture of a URL nearest that date across the Internet Archive Wayback Machine, Common Crawl and Arquivo.pt, reads it, and returns the readable text (HTML stripped) with the capture timestamp, a link to the archived copy

  • archive_compare

    What changed on a web page between two dates? Resolves the archived capture nearest each date (Internet Archive Wayback Machine, Common Crawl, Arquivo.pt), extracts the readable text of both, and returns a text-level diff: the segments removed and added, a similarity score, and b

  • research_row

    Claygent-style per-row research: answer ONE question about ONE company and return a JSON object matching your output_schema, with every field wrapped in its own evidence — {value, evidence_url, quote, status}. status is NEVER self-reported by the model: "found" means this code in

  • classify_row

    Cheap categorization: given a company and a list of candidate labels, decide which labels apply — the most common GTM/AI usage shape (tagging a list by industry, ICP fit, etc.), one small model call. Same evidence contract as research_row: each label comes back {label, applies, e

  • pipeworx_trending

    What other AI agents are calling on Pipeworx right now. Returns the top tools, top packs, and total call volume over a recent window (24h, 7d, or 30d). Useful for: (1) discovering what data sources are hot for current events, (2) confirming a popular tool is the canonical choice

  • suggest_questions

    What can I ask Pipeworx? / what is Pipeworx good for? / what can you do? / give me ideas / show me examples / getting started / what data do you have? — the onboarding entry point for an agent that just connected and wants to know what is worth asking. Returns category-bucketed e

  • generate_llms_txt

    Generate a production-ready llms.txt file for any URL so AI crawlers (ChatGPT, Claude, Perplexity) can index the site cleanly. Fetches the page, extracts title/description/key links, and emits the standard llms.txt markdown format. Output is a single text blob ready to drop at si

  • ai_visibility_check

    Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns pe

  • scan_competitor_ai_presence

    Compare AI visibility across multiple entities side-by-side. Probes each entity (your brand + N competitors) with ai_visibility_check, ranks by score, surfaces which is most/least recognized. Useful for competitive AI-marketing audits: "does Claude know about us as well as our co

  • pipeworx_feedback

    Tell the Pipeworx team something is broken, missing, or needs to exist. Use when a tool returns wrong/stale data (bug), when a tool you wish existed isn't in the catalog (feature/data_gap), or when something worked surprisingly well (praise). ONLY for tools served by this Pipewor

  • remember

    Save data the agent will need to reuse later — across this conversation or across sessions. Use when you discover something worth carrying forward (a resolved ticker, a target address, a user preference, a research subject) so you don't have to look it up again. Stored as a key-v

  • recall

    Retrieve a value previously saved via remember, or list all saved keys (omit the key argument). Use to look up context the agent stored earlier — the user's target ticker, an address, prior research notes — without re-deriving it from scratch. Scoped to your identifier (anonymous

  • forget

    Delete a previously stored memory by key. Use when context is stale, the task is done, or you want to clear sensitive data the agent saved earlier. Pair with remember and recall.

  • search_patents

    Search USPTO patent applications and grants — **without a `granted_after`/`granted_before` bound this returns the APPLICATION corpus sorted newest-FILED-first, not issued patents.** USPTO publishes an application ~18 months after filing and typically takes 2+ years to grant it, s

  • get_patent

    Fetch a single USPTO patent application/grant by application number (`number`, e.g. "16/123,456" or "16123456") or by an already-granted patent number (`patent_number`, e.g. "11646472") — pass whichever one you actually have. Returns full metadata: title, inventors, classificatio

  • search_inventors

    Search USPTO patent applications by inventor last name. Returns matching applications with title, inventor list, and filing date — sorted newest-filed-first, so this is the APPLICATION corpus (same as search_patents with no `granted_after`), and the newest rows will be unexamined

  • get_patent_assignments

    Retrieve USPTO-recorded assignment/conveyance history for one patent application from the migrated Open Data Portal endpoint. Returns assignors, assignees, execution/recording dates, conveyance text, and reel/frame. A recorded assignment is notice of a submitted instrument—not a

  • get_patent_transactions

    Fetch the full USPTO prosecution/transaction history for one patent application — every dated event the Office recorded against the case (filings, mailings, fee payments, office actions, notices, the grant itself), newest first. This is a superset of the handful of events `get_pa

  • get_patent_continuity

    Fetch the parent/child continuity (priority) chain for one patent application — every earlier application this one claims priority from (continuation, divisional, CIP, provisional, etc.) and every later application that in turn claims priority from it, each with the claim type, d

  • search_patent_assignments

    Search USPTO-recorded patent assignment/conveyance history by assignee, assignor, a granted patent number, or an application number — one of the four is required. Unlike `get_patent_assignments` (which needs an application number you already have), this answers "what has company

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 9일 점검

  • ✓ 통과

    제작자와 저장소 일치

    레지스트리 이름이 GitHub 계정 pipeworx-io 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요

  • … 아직 점검 안 함

    계속 관리되고 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • … 아직 점검 안 함

    라이선스 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • ✓ 통과

    엔드포인트 응답

    199ms 만에 응답(HTTP 200)

  • – 해당 없음

    OAuth로 로그인

    로그인 필요 없음

  • ✓ 통과

    도구 설명에 숨겨진 지시 없음

    도구 설명 51개를 읽었고, AI에게 보내는 숨겨진 지시는 없었어요

법률 및 정부 데이터 카테고리의 다른 서버와 비교i

  • 이 카테고리의 다른 서버 1768개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 1768개 중 88%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 1768개 중 100%와 같거나 더 좋아요

레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.

자주 묻는 질문

Patents, 안전한가요?

해당하는 기본 점검 3개 중 3개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.

어떤 키나 코드가 필요한가요?

입력해야 할 값: PIPEWORX_API_KEY

내 컴퓨터에서 실행되나요, 클라우드에서 실행되나요?

둘 다 가능해요. 내 컴퓨터에 설치해도 되고, 클라우드 버전에 연결해도 돼요.

아직 관리되고 있나요?

GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.2.1)은 5일 전 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

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같은 카테고리에는: Lintsure, Atviri teisės aktai – Lithuanian law, Capacidad de red eléctrica España (CNMC)

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카드 보는 법:↓ 주간 다운로드i★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i

Lintsure

Compliance readiness checks for code: EU AI Act, GDPR, SOC 2, ISO 27001. Local. Not legal advice.

제작자: lintsure아주 새로움오늘 업데이트

내 컴퓨터에서 실행

Atviri teisės aktai – Lithuanian law

Lithuanian laws article by article, with whether each applies today, past versions and search

제작자: atviri-teises-aktai.lt초기오늘 업데이트

클라우드에서 실행✓ atviri-teises-aktai.lt

제작자의 README

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USPTO Patents — Patent and Application Search

The US Patent and Trademark Office's patent database via the USPTO Open Data Portal (ODP, data.uspto.gov) — Pipeworx migrated off the legacy PatentsView API (api.patentsview.org, sunset 2025-05-01) on 2026-05-12. Search and retrieve granted US patents and published applications by keyword, assignee, inventor, or patent number. Free, no auth (platform key configured server-side; bring your own via _apiKey if you need your own quota — get one at https://data.uspto.gov/myodp).

Part of Pipeworx — an MCP gateway connecting AI agents to 1867+ live data sources. This is an independent, unofficial integration — not affiliated with, endorsed by, or published by the upstream provider.

Why this matters for AI agents

Patents are the public record of what's been invented and who claims to have invented it. For competitive intelligence, IP due diligence, freedom-to-operate research, or technology landscaping, the USPTO is the source. What this pack actually returns: title, inventors/applicants, classification, filing/grant status and dates, the granted patent number once issued, full prosecution/transaction history, parent/child continuity (priority chains), and recorded assignment/conveyance history — both for one application you already have (get_patent_assignments) and by searching assignee/assignor/patent/application number (search_patent_assignments). It does not return claims text or citation data; there is no get_claims or citation tool in this pack (the epo-ops pack's get_claims does return claims text, but only for EPO-published records).

Three core flows:

1. Keyword search. "What patents exist for CRISPR gene editing?" → search_patents({query: "CRISPR gene editing"}) → matching applications/patents with title, application number, filing date, applicants, inventors, status, classification.

2. Specific patent. "What's the status of application 16/123,456?" → get_patent({number: "16123456"}) → title, inventors, classification, status, and — once granted — patent_number/grant_date/publication_number/publication_date. If you already have a GRANTED patent number instead, pass it as patent_number (e.g. get_patent({patent_number: "11646472"})) rather than number — see the collision warning below. For the full prosecution timeline, use get_patent_transactions; for where the application came from (continuations, divisionals, provisionals) and what it later spawned, use get_patent_continuity. For who currently holds it, pair with get_patent_assignments({application_number: "16123456"}) or search by name with search_patent_assignments.

3. Transfer history (not a patent list). "What has Amyris been assigned?" / "Who assigned patent 10,000,000?" → search_patent_assignments({assignee: "Amyris"}) / search_patent_assignments({patent_number: "10000000"}) → recorded assignments with reel/frame, conveyance, dates, assignors/assignees, and the covered application/patent numbers. This is the recorded-transfer register, one row per transfer. To list the patents a company owns or holds ("patents assigned to X"), use search_patents({applicant: " ", query: "*"}) instead — a company with no recorded transfer returns zero here even when it holds many patents.

For company-level IP due diligence (combining patents with SEC IP risk disclosures and trademarks), see the Patent Due Diligence recipe.

Citable URI

pipeworx://uspto/patent/{number}

Patent numbers are stable forever. Embed in agent output as the canonical citation.

What "patents" includes

TypePrefixWhat it is
Utility patent(none / numeric)Standard invention patent (machines, processes, articles)
Design patentDOrnamental design (e.g., D123,456 = a chair design)
Plant patentPPAsexually reproduced plant variety
ReissueRECorrected version of an earlier patent
Reexamination(E numbers)Validity-challenged patents under review

There's no dedicated type input filter — every result carries a type field (application/patent type) you can filter on client-side to isolate design or plant patents from the utility-patent majority.

Update cadence

  • Grants: measured, Tuesday. Querying granted_after for the current week (2026-09-08) returns grant dates of only 2026-09-01 and 2026-09-08 — both Tuesdays — confirming USPTO's long-standing weekly grant-day cadence carried over from the PatentsView era. This is current data, not a stale mirror: the most recent grant date returned is today.
  • Applications: unverified — do not repeat the old Thursday claim. ODP's applicationMetaData exposes filingDate and grantDate but no publication date field, so Pipeworx has no way to check when an application record actually becomes visible in ODP. The PatentsView-era "Thursday" figure was for api.patentsview.org's pgpub publication feed, which this pack does not use and cannot confirm carried over. Treat application-corpus freshness as unmeasured rather than assuming a fixed weekday.
  • The default search looks old by construction, not because data is stale. With no granted_after/granted_before, search_patents returns the application corpus sorted newest-filed-first. USPTO doesn't publish an application until ~18 months after filing and typically takes 2+ years to grant it, so the newest rows in an unfiltered search are recent filings with grant_date: null — that's expected. Pass granted_after (e.g. "2024-01-01") to get issued patents with real grant dates instead. See the search_patents tool description for the full explanation.
  • Pipeworx caches results with a 24-hour TTL. Given the measured Tuesday grant cadence, set Cache-Control: no-cache if you need same-day fresh-grant results.

Common pitfalls

  • Keyword search ≠ freedom-to-operate. search_patents finds patents whose text mentions your terms. It does not tell you whether a patent CLAIMS what you'd be doing, and this pack does not return claims text to check that yourself — FTO requires reading claims (the epo-ops pack's get_claims returns claims text, but only for EPO-published records) and, ultimately, a patent attorney.
  • Assignee normalization. "Vertex Pharmaceuticals Inc.", "VERTEX PHARMACEUTICALS, INC.", "Vertex Pharmaceuticals" — all the same company. Group case-insensitive after stripping legal suffixes when aggregating.
  • No citation data. This pack does not surface citation counts or citation lists at all — there is no way to rank "most-cited" or "foundational" patents within a result set through this pack.
  • This pack is US-only, but Pipeworx isn't. USPTO covers US filings only. For European patents, the epo-ops pack is live today — epo_ops_search_patents, get_biblio, get_family, get_abstract, get_claims against the EPO's worldwide register (verified live 2026-09-08: epo_ops_search_patents({query:"lithium battery"}) returned current European filings, including publications dated this week). Japanese (JPO) and Chinese (CNIPA) national filings are not in Pipeworx yet — file via pipeworx_feedback if you need them.
  • Application vs. issued. "Patent pending" applications are searchable but the date you care about is grant_date, not filing_date. Applications can be rejected or amended; the issued patent is what matters.
  • "Filed" wants `filed_after`/`filed_before`, not `granted_after`/`granted_before` (fleet #2418). A question that says FILED or APPLIED FOR — even when it also says "recent" or "last N years" — wants the filing-date bound; the default application corpus already includes both pending and granted patents, so filed_after alone answers it. Using granted_after for a filing-activity question silently restricts to already-issued patents, and since grant typically lags filing by 2+ years, a recent granted-only window is usually empty even when real filing activity exists — search_patents returns a date_field_hint explaining this on a granted-only zero result.
  • Multi-phrase queries get one zero-result broadening retry (fleet #2418). {query: '"experimental phrase one" "experimental phrase two"'} requires BOTH exact phrases to co-occur (ODP ANDs every clause), which can return 0 even when either phrase alone matches plenty. On a genuine zero with 2+ quoted phrases, search_patents automatically retries the same phrases OR'd together and marks the response broadened: true — treat those results as "mentions at least one phrase", not all of them. An ordinary bare multi-keyword AND (no quoted phrases) is left alone on zero, since that AND is usually doing real, intentional narrowing.
  • Known synonym/abbreviation groups are expanded before the search runs (fleet #2450/#2499). {query: 'cfRNA "residual cancer"'} used to return 0 with no broadening at all — the #2418 retry above only sees a query with 2+ QUOTED phrases, and a bare abbreviation next to one quoted phrase never qualified, even though 23 real matches exist for the same two concepts phrased as '"residual cancer" "cell-free RNA"'. A short, curated list of production-observed synonym pairs (cfRNA / cell-free RNA / cell free RNA / circulating RNA / circulating cell-free RNA / ccfRNA; MRD / minimal residual disease / molecular residual disease / residual cancer / residual disease) is now recognized — quoted or bare, case-insensitive — and expanded to an OR group ANDed against the other concept in the query, on the FIRST attempt, marked synonyms_expanded: true in the response. This is deliberately a fixed, documented list, not general synonym invention: an unrelated OR silently answers a different question (a whole-query OR-broaden once returned 21,937 largely off-topic matches).
  • An 8-digit application number and an 8-digit granted patent number can be the SAME digit string for two unrelated inventions (fleet #3301 follow-up). Application numbers are a 2-digit series code plus a 6-digit serial (e.g. "11" + "646472" = application 11/646,472, filed ~2006); granted patent numbers entered that same 10,000,000-12,999,999 range in 2018 and are still in it. get_patent({number: "11646472"}) is genuinely ambiguous between a 2006 application and a 2023 patent grant. Pass patent_number instead of number whenever you specifically mean the patent — it is never ambiguous. If you only have number and it falls in the collision range, the tool checks both interpretations and returns ambiguous: true with both records summarized rather than silently guessing; re-call with the right argument once you know which one you meant.
  • `get_patent` surfaces `patent_number`/`grant_date` directly now (fleet #3301). It used to only report status plus a guessed "grant event" scanned out of prosecution-history text — and that guess matched ANY event whose description contained the word "Granted", including routine extension-of-time approvals, so a patented application could come back with status "Patented Case" and a misattributed extension-of-time date instead of the actual patent number. Read patent_number/grant_date/publication_number/publication_date directly; if status is "Patented Case" but patent_number is null, the response carries a patent_number_warning (an upstream data gap) rather than silently reading as "not yet granted".
  • Two different sources answer assignment questions, and they are not interchangeable. get_patent_assignments and get_patent_transactions/get_patent_continuity read the USPTO Open Data Portal's per-application file-wrapper data (needs the application number you already have). search_patent_assignments reads USPTO's separate public Assignment Search system and is the only one of the four that can search

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