search-patents

uspto.gov/search-patents-nwh84a · updated May 21, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$browse install uspto.gov/search-patents-nwh84a
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summary

Search USPTO Patent Public Search (PPS) for granted patents and pre-grant publications by title, abstract, inventor, assignee, full spec, or claim text — returning patent number, title, abstract excerpt, assignee, inventor list, filing/grant dates, and document URL.

skill.md
name
search-patents
title
USPTO Patent Search
description
>- Search USPTO Patent Public Search (PPS) for granted patents and pre-grant publications by title, abstract, inventor, assignee, full spec, or claim text — returning patent number, title, abstract excerpt, assignee, inventor list, filing/grant dates, and document URL.
website
uspto.gov
category
research
tags
- uspto - patents - patent-search - ip - government - research - ppubs
source
'browserbase: agent-runtime 2026-05-16'
updated
'2026-05-16'
recommended_method
browser
alternative_methods
- method: api rationale: >- If the user supplies a USPTO Open Data Portal API key (free signup at data.uspto.gov/key/myapikey), prefer POST https://api.uspto.gov/api/v1/patent/applications/search — significantly faster and more structured than browsing the PPS Angular SPA. BUT: ODP only covers patent applications filed on or after 2001-01-01, so it cannot serve queries for pre-2001 grants or for grant-only fields. Returns 403 with no body if X-API-KEY header is missing. - method: url-param rationale: >- PPS publishes a documented external-entry deep-link at https://ppubs.uspto.gov/pubwebapp/external.html?q=<query>&db=USPAT,US-PGPUB&casenumber= — the comment in the external.html source explicitly markets this as the URL contract. The deep-link is the recommended way to enter PPS programmatically (skips the landing-page menu) but you still need a browser to render the Angular SPA and read results. - method: api rationale: >- PatentsView legacy (api.patentsview.org/patents/query) is DEAD — confirmed 2026-05-16: 301-redirects to data.uspto.gov/support/transition-guide/patentsview. PatentsView v2 (search.patentsview.org/api/v1/) requires a separate key AND returned 500 errors across every endpoint during reconnaissance. The patent_client Python library that wrapped PatentsView was archived 2026-04-24 by its maintainer. Do not attempt either.
verified
true
proxies
true

USPTO Patent Search

Purpose

Search the USPTO patent database for granted patents (USPAT), pre-grant publications (US-PGPUB), and OCR'd legacy patents (USOCR) matching a query — by title, abstract, inventor, applicant/assignee, full specification, or claim text — and return the top results with patent number, title, abstract excerpt, assignee, inventor(s), application filing date, grant/publication date, and a link to the patent document. Read-only; does not file, edit, or pay anything.

When to Use

  • Bulk literature / prior-art searches across U.S. patents and published applications.
  • Tracking a specific inventor's, assignee's, or examiner's portfolio of grants.
  • Looking up a single known patent number to fetch full bibliographic data + abstract.
  • Anywhere you'd otherwise scrape PatFT/AppFT — those legacy databases were retired in late 2022 and the canonical replacement is Patent Public Search at ppubs.uspto.gov/pubwebapp.

Workflow

The USPTO has three relevant programmatic surfaces today (2026-05). They are not equivalent in coverage or cost — pick by what the user actually needs:

SurfaceURLAuthCoverageVerdict
Patent Public Search (PPS)ppubs.uspto.gov/pubwebapp/NoneUSPAT (granted, all years) + US-PGPUB (applications since 2001-03) + USOCR (OCR'd pre-1976 grants)Primary — only fully free, fully covering option. Browser-driven (Angular SPA).
Open Data Portal (ODP) APIapi.uspto.gov/api/v1/patent/applications/searchRequired (free key)Applications only, filed on/after 2001-01-01Use if the user already has an ODP API key and only needs application data. Faster and more structured than browser. Cannot fetch pre-2001 grants or modern grant-only metadata via this endpoint.
PatentsView (legacy) api.patentsview.org/patents/queryDEPRECATEDDo not use. Confirmed 2026-05-16: 301-redirects to data.uspto.gov/support/transition-guide/patentsview. Hard-removed.
PatentsView (v2) search.patentsview.org/api/v1/Required (free key, separate from ODP)All grantsSubject to outages — returned 500 across all paths during 2026-05-16 reconnaissance.Use only if the user supplies a PatentsView key AND the endpoint is up; verify with a /api/v1/patent HEAD first.

The recommended browser flow uses a published URL-param deep-link that the PPS application itself documents as its external-entry API. From the PPS source (ppubs.uspto.gov/pubwebapp/external.html):

DATA OBJECT:
  casenumber: string; default = ""
  db:         string; default = "USPAT,US-PGPUB"
  q:          string; default = ""
GET REQUEST
  EX: https://pasr.uspto.gov/webapp/external.html?q=("20150376584" | "9138715" | "8981250").PN.&casenumber=&db=

PPS resolves the same external.html on ppubs.uspto.gov — use that host (not pasr, which is the older Patent Application Search Result host) for current behavior.

Recommended path (browser, no auth)

  1. Build the query string using PPS field-code syntax: <terms>.<CODE>. e.g., quantum.TI. for title contains "quantum", (machine ADJ learning).TI. for adjacent words, Apple.AS. for assignee. Operators are AND, OR, NOT (uppercase), ADJ (adjacent), SAME (same sentence), NEAR (within window). Wrap multi-word phrases in "..." and use () for grouping. Common codes (verified against the official searchable-indexes table):

    • TI / TTL — Title (preferred: TI accepts proximity operators)
    • AB / ABTX — Abstract text (full)
    • IN / INV — Inventor name
    • AANM — Applicant name (post-AIA, often the operating entity)
    • ASNM / AS — Assignee name (recorded at issuance)
    • INNM — Combined Applicant/Inventor name (use when the user can't distinguish)
    • PN — Patent number (9138715.PN. matches that grant; supports prefixes like D design, PP plant, RE reissue, T defensive pub)
    • PD — Patent grant/issue date ("20240101"->"20241231".PD. for ranges)
    • APD — Application filing date
    • SPEC — Description / specification body
    • CLM / ACLM — Claims text
    • APP — Application series + serial (e.g. 16/444401.APP.)
    • BIC — Title + Claims combined; handy single-shot "claim-or-title contains X" filter

    Combine via boolean: (neural ADJ network).TI. AND ("Google LLC".AS. OR Alphabet.AS.) AND 2023.PY.

  2. Pick the database(s) with the db param. Values are comma-joined:

    • USPAT — granted U.S. patents (utility, design, plant, reissue, defensive publication)
    • US-PGPUB — published applications (since 2001-03; applications publish at 18-month mark unless requested non-publication)
    • USOCR — OCR'd pre-1976 grants (text quality is poor; only available for the AB, ACLM, SPEC composite fields)
    • Default if you omit db: USPAT,US-PGPUB. Add USOCR only when the user explicitly wants very old grants — it bloats result count with low-quality matches.
  3. Open the deep-link directly (skip the landing page entirely):

    https://ppubs.uspto.gov/pubwebapp/external.html?q=<URL-ENCODED QUERY>&casenumber=&db=USPAT,US-PGPUB
    
    • The page is an Angular SPA. After load you'll see a terms-of-service modal first time per session ("Continue / Accept"). Click through it. The modal sets a session cookie via the AWS WAF challenge JS — see Site-Specific Gotchas.
    • Wait for the search-results panel to render — selector mat-tab-group becomes visible; the actual results grid is cdk-virtual-scroll-viewport.
  4. Read the results grid. Each row contains: result number, patent/pub number, title, inventor, publication date, page count. The patent number is the canonical click target — clicking it opens the document in the right-hand "Reading" pane and updates the URL to ?...&docId=<docId>&docNumber=.... The reading-pane URL is the durable per-document link the agent should return.

    • For the agent: prefer browse get html body over browse snapshot for the grid — the virtualized scroller exposes only ~25 rows to the a11y tree at a time. Scroll the viewport to force virtualization to render more rows before extracting.
    • To extract abstract excerpt + assignee + inventor list per result, click the patent number → wait for the reading-pane iframe (#docPageContainer iframe) to load → extract from the bibliographic section. This costs ~1 turn per detail fetch — only do it for the top-K results the user wants.
  5. Page through via the pagination bar at the bottom of the results grid (mat-paginator). PPS returns up to 500 results per query; for total_results > 500, refine the query — paginating past 500 is not supported.

  6. Return JSON matching the schema in Expected Output. Always include the document_url field constructed from the durable PDF link: https://ppubs.uspto.gov/dirsearch-public/print/downloadPdf/<patent_number> (also works without a session for granted patents — verified independently by the PPS team).

Browser fallback for ambiguous queries

If the agent's query is a person/company name without a clear field hint, run two passes:

  1. (<name>).INNM. — combined applicant+inventor (recall-heavy; finds the name in either role)
  2. (<name>).AANM. OR (<name>).ASNM. — applicant + assignee separately (more precise; helps disambiguate inventor "John Smith" from assignee "Smith & Wesson")

Merge results and de-duplicate by patent number.

Alternative: Open Data Portal (ODP) API

If the user supplies an ODP API key (PATENT_CLIENT_ODP_API_KEY or X-API-KEY header) and they only need application-level data (no granted-only fields, nothing older than 2001), prefer the ODP API — it's ~50× cheaper in agent turns than browsing.

POST https://api.uspto.gov/api/v1/patent/applications/search
X-API-KEY: <user-supplied key>
Content-Type: application/json

{
  "q": "applicationMetaData.inventionTitle:\"quantum computing\"",
  "sort": "applicationMetaData.filingDate desc",
  "limit": 25,
  "offset": 0,
  "fields": [
    "applicationNumberText",
    "applicationMetaData.patentNumber",
    "applicationMetaData.inventionTitle",
    "applicationMetaData.filingDate",
    "applicationMetaData.grantDate",
    "applicationMetaData.applicantBag",
    "applicationMetaData.inventorBag",
    "applicationMetaData.firstApplicantName",
    "applicationMetaData.firstInventorName",
    "applicationMetaData.applicationTypeCode"
  ]
}

Response shape: { "totalNumFound": N, "patentFileWrapperDataBag": [...], "requestIdentifier": "..." }. The query language is Solr-like — field:value, boolean AND/OR/NOT, range [2020-01-01 TO 2024-01-01], wildcards */?, exact-phrase "...". The /applications/search endpoint covers BOTH granted patents (where applicationMetaData.patentNumber is populated) AND pending applications under one search — the user-facing distinction is just whether grantDate is set.

Do not mix ODP results with PPS results in the same response — they have different field shapes and ODP only covers post-2001. Either return ODP-shaped or PPS-shaped output, not both.

Site-Specific Gotchas

  • PatFT and AppFT are dead. patft.uspto.gov and appft.uspto.gov were retired September 30, 2022 and now 301 to PPS. Don't waste time on /netacgi/nph-Parser legacy URLs — they're gone.
  • api.patentsview.org is dead. Confirmed 2026-05-16: 301 → data.uspto.gov/support/transition-guide/patentsview. The 2024-and-earlier requests.post('https://api.patentsview.org/patents/query', json=...) recipe found in tutorials no longer works. Code samples still referencing it (including some 2026-03 blog posts) were not updated for the migration.
  • search.patentsview.org (v2 PatentsView) returned 500 on every path tested during 2026-05-16 reconnaissance (/api/v1/patent, /api/v1/patent/?q=..., /docs/, root). The service exists, requires a separate API key per its docs, and may recover — but treat it as flaky. The patent_client Python wrapper (parkerhancock/patent_client) was archived 2026-04-24 when its maintainer hit one too many of these outages — that history is itself a strong "don't rely on PatentsView for production" signal.
  • ODP API requires a key — silent 403 without one. api.uspto.gov/api/v1/patent/applications/search returns 403 {"message":"Forbidden"} (Amazon API Gateway ForbiddenException) with no body explanation if X-API-KEY is missing. Get keys at data.uspto.gov/key/myapikey (free). The same key works for the full ODP family (applications, file-wrapper documents, assignments, bulk).
  • ODP only covers applications filed on or after 2001-01-01. Pre-2001 patents are queryable only via PPS or PEDS-extract bulk files. Don't promise the user "full historic search" via ODP.
  • PPS is behind AWS WAF + reCAPTCHA + a session-bootstrap challenge. The page loads https://0dd6fc7fe1e2.edge.sdk.awswaf.com/.../challenge.js on every fresh session — a browse cloud sessions create --verified session passes it transparently; a plain (non-Verified) session occasionally triggers a CAPTCHA modal. Use --verified flag every time. --proxies is helpful but not strictly required for PPS — the WAF is per-fingerprint, not per-IP.
  • Terms-of-service modal on first navigation. PPS shows a "Patent Public Search Terms of Use" modal once per session (cookie-gated). The Continue button is button[data-mat-button][aria-label="Continue"] or the only enabled mat-dialog-container button. Snapshot will show it as the only focusable target — clicking it dismisses and starts the search.
  • The PPS results grid is a virtualized CDK scroller (cdk-virtual-scroll-viewport). At most ~25 rows are in the DOM at any time; to harvest more, scroll the viewport (browse scroll <x> <y> 0 800 inside the grid) and re-extract. The "results" counter at the top of the panel gives total_results reliably — read it before scrolling.
  • Field codes are positional suffixes, not query keys. Beginners write TI:quantum (Solr style) — PPS will silently treat that as a literal-string search and return 0 results. The correct syntax is quantum.TI. (term, dot, code, dot). The PPS query bar accepts both classic CCL (SS 1-style numbered set logic) and a simplified expression mode; the deep-link q= param uses simplified mode by default.
  • PN field accepts prefixes that change the patent class: bare digits (9138715.PN.) match utility; D475502.PN. matches design; PP12345.PN. matches plant; RE38134.PN. matches reissue; T123456.PN. matches statutory invention registration / defensive publication. Pre-grant publication numbers (e.g. 20150376584) only match in the US-PGPUB database — make sure db= includes it.
  • AS (assignee at issuance) ≠ AANM (applicant at filing) ≠ current owner. AIA assignees often refile through holding entities; "Google LLC" patents from 2015 may be ASNM:Google Inc. (the pre-2017 name). Try a name + OR variant set: (Google OR "Google LLC" OR "Google Inc." OR Alphabet).ASNM.
  • PPS deep-link casenumber= param is for internal pasr.uspto.gov USPTO-employee bookmarks ("examiner case number"). Leave it empty.
  • document_url durable form: https://ppubs.uspto.gov/dirsearch-public/print/downloadPdf/<patent_number> returns the full PDF without requiring a session. For the HTML / structured view, use https://image-ppubs.uspto.gov/dirsearch-public/print/downloadPdf/<patent_number> (mirror host). Do not return the SPA URL with ?q=...&docId=... as the document_url — those are session-scoped and break for downstream consumers.
  • PPS undocumented backend endpoints (/dirsearch-public/searches/searchWithBeFamily, /dirsearch-public/users/me/session) are actively blocked. Direct POST attempts return 404 / 403 today. The patent_client maintainer's archive note in April 2026 explicitly cites this. Don't try to reverse-engineer the JSON API — every recipe published before mid-2024 has been broken by USPTO. Stay on the documented UI deep-link.
  • Rate limit (informal): USPTO doesn't publish one for PPS, but observed behavior is throttling beyond ~10 queries/min from a single fingerprint; sustained scraping triggers the WAF challenge to escalate to a full CAPTCHA. Cap at 6 queries/min per session.

Expected Output

{
  "query": "quantum computing",
  "query_field": "TI",
  "constructed_query": "(\"quantum computing\").TI.",
  "databases": ["USPAT", "US-PGPUB"],
  "total_results": 1284,
  "page_size": 5,
  "page": 1,
  "results": [
    {
      "patent_number": "US 11,989,628 B2",
      "kind_code": "B2",
      "document_type": "granted_patent",
      "title": "Quantum computing apparatus and methods for fault-tolerant operation",
      "abstract_excerpt": "A quantum computing system that implements a surface-code fault-tolerant architecture using superconducting transmon qubits. The disclosed methods include syndrome extraction without measurement disturbance...",
      "assignee": "International Business Machines Corporation",
      "inventors": ["John A. Doe", "Jane B. Smith", "Wei C. Chen"],
      "filing_date": "2020-01-15",
      "grant_date": "2024-05-21",
      "publication_date": "2021-07-22",
      "application_number": "16/744123",
      "publication_number": "US 2021-0224656 A1",
      "classification_cpc_primary": "G06N 10/00",
      "page_count": 47,
      "document_url": "https://ppubs.uspto.gov/dirsearch-public/print/downloadPdf/11989628"
    }
  ],
  "source": "ppubs.uspto.gov",
  "retrieved_at": "2026-05-16T05:30:00Z"
}

For pre-grant publications (US-PGPUB), document_type is "published_application", grant_date is null, and patent_number is the 11-digit publication number formatted US 2021-0224656 A1.

For multi-outcome responses:

// No results
{ "query": "...", "constructed_query": "...", "total_results": 0, "results": [], "source": "ppubs.uspto.gov" }

// WAF block (rare — only if --verified was not used)
{ "query": "...", "error": "waf_challenge", "error_reasoning": "PPS returned an AWS WAF CAPTCHA challenge that the session could not solve. Retry with browse cloud sessions create --verified --solve-captchas.", "results": [] }

// Query syntax error
{ "query": "...", "error": "query_syntax", "error_reasoning": "PPS returned 'No documents matched your query' with a syntax-help banner. The constructed query was '<...>' — likely a missing field-code suffix (write 'quantum.TI.' not 'TI:quantum').", "results": [] }
how to use search-patents

How to use search-patents on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add search-patents
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$browse install uspto.gov/search-patents-nwh84a

The skills CLI fetches search-patents from GitHub repository uspto.gov/search-patents-nwh84a and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/search-patents

Reload or restart Cursor to activate search-patents. Access the skill through slash commands (e.g., /search-patents) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.475 reviews
  • Chaitanya Patil· Dec 20, 2024

    search-patents has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Xiao Abbas· Dec 8, 2024

    Solid pick for teams standardizing on skills: search-patents is focused, and the summary matches what you get after install.

  • Zara Flores· Dec 8, 2024

    Registry listing for search-patents matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Xiao Mensah· Dec 8, 2024

    search-patents fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Advait Bhatia· Dec 8, 2024

    search-patents reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Olivia Abebe· Dec 4, 2024

    Useful defaults in search-patents — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Nia Srinivasan· Dec 4, 2024

    I recommend search-patents for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Tariq Desai· Dec 4, 2024

    Registry listing for search-patents matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Noah Bansal· Nov 27, 2024

    I recommend search-patents for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • William Malhotra· Nov 27, 2024

    We added search-patents from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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