USPTO Patent Grant Alerts — New Grants Since Your Last Run

USPTO patent grant alerts: watch a keyword, assignee or CPC class and, on each scheduled run, get only the patents granted since the grants you already received. One row per patent with abstract, assignees, inventors, CPC and IPC codes, claim and citation counts.

Which grants actor? This is the alerting one — scheduled runs surface only NEW grants matching your assignee/keyword watch. For the full bulk grant dataset, use USPTO Patent Grants. Track new USPTO patent grants matching your watch. Built for IP counsel, brand teams, researchers and AI agents.

📊 Sample Output

patent_id	publication_number	patent_date	assignees	patent_type	source_url
12626260	US12626260B2	2026-05-12	[{'name': 'Featurespace Ltd', 'country': 'US'}]	utility	https://patentcenter.uspto.gov/applications/12626260
12626193	US12626193B2	2026-05-12	[{'name': 'Koninklijke Philips NV', 'country': 'US'}]	utility	https://patentcenter.uspto.gov/applications/12626193
12620484	US12620484B2	2026-05-05	[{'name': 'Nvidia Corp', 'country': 'US'}]	utility	https://patentcenter.uspto.gov/applications/12620484
12626155	US12626155B2	2026-05-12	[{'name': 'Capital One Services LLC', 'country': 'US'}]	utility	https://patentcenter.uspto.gov/applications/12626155
12627814	US12627814B2	2026-05-12	[{'name': 'Intel Corp', 'country': 'US'}]	utility	https://patentcenter.uspto.gov/applications/12627814
12625709	US12625709B2	2026-05-12	[{'name': 'Rockwell Automation Technologies Inc', 'country': 'US'}]	utility	https://patentcenter.uspto.gov/applications/12625709

Real rows from run 7hb12zY3nhpo0fp4U on build 0.0.6 (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
query	string	"machine learning"	Free-text search across patent title + abstract + claims.
assignee	string	""	Filter by patent assignee/owner organization (case-insensitive).
dateFrom	string	"2026-05-01"	Earliest patent grant date (YYYY-MM-DD).
dateTo	string	""	Latest patent grant date (YYYY-MM-DD). Leave blank for 'no upper bound'.
cpcPrefix	string	""	Optional CPC classification filter (e.g. 'G06N' for AI/ML, 'H04L' for networking, 'A61K' for pharma). Leave blank for all.
maxResults	integer	25	Hard cap on patents returned.
apiKey	string	""	Reserved for forward compatibility. The current data source (Google Patents / USPTO public records) requires no key. If you have a USPTO Open Data Portal key you may supply it her…

🧾 JSON sample record

One real record from run 7hb12zY3nhpo0fp4U (emails/phones masked, long text shortened):

{
  "patent_id": "12626260",
  "publication_number": "US12626260B2",
  "patent_title": "Training a machine learning system for transaction data processing",
  "patent_date": "2026-05-12",
  "patent_kind": "B2",
  "patent_abstract": "Abstract A method of training a supervised machine learning system to detect anomalies within transaction data is described. The method includes obtaining a training set of data samples; assigning a label indicating an absence of an anomaly to unlabelled data samples in the training set; partitioning the data of the data samples in the training set into two feature sets, a first feature set representing observable features and a second feature set representing context features; generating synthetic data samples by combining features from the two feature sets that respectively relate to two different uniquely identifiable entities; assigning a label indicating a presence of an anomaly to the synthetic data samples; augmenting the training set with the synthetic data samples; and training a supervised machine learning system with the augmented training set and the assigned labels.",
  "assignees": [
    {
      "name": "Featurespace Ltd",
      "country": "US"
    }
  ],
  "inventors": [
    {
      "first_name": "Kenny",
      "last_name": "Wong",
      "country": "US"
    },
    {
      "first_name": "David",
      "last_name": "Sutton",
      "country": "US"
    },
    {
      "first_name": "Iker",
      "last_name": "Perez",
      "country": "US"
    },
    {
      "first_name": "Alec",
      "last_name": "Barns-Graham",
      "country": "US"
    }
  ],
  "cpc_codes": [
    "G06N3/00",
    "G06N3/02",
    "G06N3/08",
    "G06N20/00",
    "G06N20/20",
    "G06N3/04",
    "G06N3/044",
    "G06N3/0442",
    "…"
  ],
  "ipc_codes": [],
  "patent_type": "utility",
  "claim_count": 11,
  "citation_count_received": 0,
  "source_url": "https://patentcenter.uspto.gov/applications/12626260",
  "scraped_at": "2026-09-25T03:23:47Z"
}

💰 Pricing

Event	Price (USD)	When it is charged
Actor Start (apify-actor-start)	$0.005	Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event).
Patent (dataset-item)	$0.1	Per-patent extracted: ID, title, assignee, inventors, CPC/IPC classification, abstract

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 × $0.1 = $10.00 plus the start fee.

🔗 Related Actors

More from the NexGenData Patents & trademarks family:

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

5 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 15 fields):

• assignees — Assignees
• citation_count_received — Citation count received
• claim_count — Claim count
• cpc_codes — Cpc codes
• inventors — Inventors
• ipc_codes — Ipc codes
• patent_abstract — Patent abstract
• patent_date — Patent date
• patent_id — Patent id
• patent_kind — Patent kind

Pricing: $0.10 per patent (Pay-Per-Event) — about 10 patents per $1.

🤖 Use with AI agents

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

Sample agent prompt:

Alert me weekly on new USPTO patent grants assigned to a company.

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 Patent Grants, 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.