USPTO Patent Grants

Which grants actor? This is the bulk-data one — full weekly USPTO patent-grant records, one row per grant. For scheduled new-grant alerts filtered to your watch, use the USPTO Grants Tracker. Pull USPTO weekly patent-grant records in bulk. Built for IP counsel, brand teams, researchers and AI agents.

📊 Sample Output

patent_number	grant_date	priority_date	filing_date	inventors	assignee_name
US12745183B2	2026-09-22	2022-11-07	2023-06-29	['Derek W. Engi', 'Gonzalo A. Salgueiro', 'Marisol Palmero Amador', '…	Cisco Technology, Inc.
US12745123B2	2026-09-22	2021-10-29	2022-03-28	['Athanasios Karapantelakis', 'Lackis Eleftheriadis', 'Maxim Teslenko…	TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)
US12745101B2	2026-09-22	2022-08-30	2022-08-30	['Shinya Kita']	RAKUTEN MOBILE, INC.
US12744977B2	2026-09-22	2022-10-06	2025-04-03	['Eliyahu Benny', 'Uriel Ankor', 'Michael Gilichinsky']	ELBIT SYSTEMS ELECTRO-OPTICS—ELOP LTD.
US12744946B1	2026-09-22	2025-06-23	2025-06-23	['Victor Batraev', 'Nikolay Dobrovolskiy', 'Laurent Dedenis', 'Stanis…	Constructor Technology AG
US12744809B1	2026-09-22	2024-01-11	2024-01-11	['Opal Mitchell']	Rapid7, Inc.

Real rows from run pjUTkxLwElUlaieed on build 0.0.10 (2026-09-25), unedited apart from masked emails/phones and shortened long text; fields the source does not publish are empty.

🔧 Input reference

Field	Type	Default	What it does
keywords	array	["machine learning"]	Free-text keywords to search across patent title + abstract. Each keyword becomes an OR clause. Examples: ['machine learning'], ['neural network', 'transformer'], ['CRISPR', 'gene…
assignee_name	string	""	Restrict results to patents granted to a specific assignee (company / institution). Matches partial names, case-insensitive. Examples: 'Apple', 'Google', 'NVIDIA', 'IBM', 'MIT', '…
date_range	string (today, week, month, year, all)	"month"	Filter by USPTO grant date (the date the patent was officially issued, not the application or priority date). 'today' = patents granted today only (USPTO publishes grants every Tu…
cpc_class	string	""	Cooperative Patent Classification (CPC) symbol to filter by. Use either the 1-letter section (e.g. 'G' = Physics / G06 = Computing), the 4-character class (e.g. 'G06N' = AI/ML sys…
ai_only	boolean	false	If true, return only patents flagged as AI / ML related. We mark a patent AI-related when its title or abstract contains terms like 'machine learning', 'neural network', 'deep lea…
limit	integer	50	Maximum number of patent grant records to push to the dataset. The Google Patents result page returns up to 100 patents per page; we'll auto-paginate to satisfy your limit. Typica…
enrich_details	boolean	true	If true, fetches each patent's detail page after the search to populate claims_count, full CPC class list, citations_count and a longer abstract excerpt. Doubles run time (one ext…

🧾 JSON sample record

One real record from run pjUTkxLwElUlaieed (emails/phones masked, long text shortened):

{
  "patent_number": "US12745183B2",
  "patent_title": "Dynamic feature shedding in sensor enabled networks",
  "grant_date": "2026-09-22",
  "priority_date": "2022-11-07",
  "filing_date": "2023-06-29",
  "inventors": [
    "Derek W. Engi",
    "Gonzalo A. Salgueiro",
    "Marisol Palmero Amador",
    "Md Atiqur Rahman",
    "Pascal Thubert"
  ],
  "assignee_name": "Cisco Technology, Inc.",
  "assignee_country": "US",
  "cpc_classes": [
    "H04W52/0264",
    "H04W52/0251"
  ],
  "abstract_excerpt": "Described herein are devices, systems, methods, and processes for managing power consumption in network nodes by dynamically disabling and reenabling features based on real-time power consumption monitoring and historical data analysis. A machine learning model is trained using historical sensor data and historical feature data to predict power consumption and derive feature-to-power association data. The power budget is determined based on sustainability goals. Real-time power consumption is mo",
  "claims_count": 11,
  "citations_count": 6,
  "is_ai_related": true,
  "is_software": false,
  "pdf_url": "https://image-ppubs.uspto.gov/dirsearch-public/print/downloadPdf/12745183",
  "google_patents_url": "https://patents.google.com/patent/US12745183B2/en",
  "data_source": "uspto_ppubs"
}

💰 Pricing

Event	Price (USD)	When it is charged
Actor Start (apify-actor-start)	$0.01	Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event).
USPTO patent record (apify-default-dataset-item)	$0.05	Charged per newly granted USPTO patent record returned with assignee, inventors, CPC classes, abstract, claims count, citation count, AI /…

Pay-per-event: you pay only for what the run delivers. A run that delivers nothing bills no result events (only the actor-start event, when the actor defines one). Example: a run that delivers 100 results costs 100 × $0.05 = $5.00 plus the start fee.

🔗 Related Actors

More from the NexGenData Patents & trademarks family:

• Patent Inventor Network — Google Patents Index
• Trademark Conflict Watch — Brand Monitoring API
• TTAB Opposition Tracker — Trademark Disputes API
• USPTO Patent Grants Tracker — New Grant Alerts API
• USPTO Patent Search — US Prior Art via Google Patents Index
• PCT / WO Patent Search — via Google Patents Index

4 more in this family on the NexGenData Store page.

⏰ Run this as a grant watch (recommended)

Every IP registry actor is a monitoring subscription, not a one-shot lookup. Schedule a weekly sweep and catch new filings as they land:

{
  "query": "Apple Inc",
  "limit": 100
}

Weekly cron (0 8 * * 1) turns this into an always-on grant watch.

📊 What you get

Clean JSON, one record per patent (full output has 7 fields):

• patent_number — Patent number
• title — Title
• assignee — Assignee
• grant_date — Grant date
• inventors — Inventors
• abstract — Abstract
• cpc_classes — Cpc classes

Pricing: $0.05 per patent (Pay-Per-Event) — about 20 per $1. Actor start fee $0.01 per run. Live prices are in the Pricing table below.

🤖 Use with AI agents

Point Claude, the OpenAI Agents SDK, an n8n flow or any MCP-aware client at it and run USPTO weekly patent-grant records on demand.

Sample agent prompt:

Pull this week's USPTO patent grants for an assignee as JSON.

Agentic payments (x402): Supports agentic payment via x402 — agents can call this actor with USDC, no API key required.

🔗 Related IP actors

Prior-art & patent web: USPTO Patent Search, USPTO Grants Tracker, WIPO PatentScope, PatentsView Inventors, FDA Orange Book

IP agent front door: Patents & Trademarks IP MCP

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Data from public intellectual-property registries.